Markerless, inside-out tracking - Revision history

Neo222: Redirected page to Markerless inside-out tracking

2017-07-17T19:21:11Z

Redirected page to Markerless inside-out tracking

← Older revision		Revision as of 19:21, 17 July 2017
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	~~==Introduction==~~		#REDIRECT [[Markerless inside-out tracking]]
	[[~~File:Intel Project Alloy.jpg\|thumb\|Figure 1. Intel's Project Alloy (Image: gizmodo.com)]]~~

	[[Positional tracking]] is an essential component of both [[virtual reality]] (VR) and [[augmented reality]] (AR), contributing to a greater sense of [[immersion]] and [[presence]]. It determines the position and orientation of an object within the environment. In VR, this allows for the movements of the user to be translated into the virtual environment, and in AR it is essential for the placement of digital content into real objects or spaces. Markerless inside-out tracking is a composite term that defines a form of positional tracking that uses two specific methods: [[markerless tracking]] and [[inside-out tracking]]. <ref name=”1”> Boger, Y. (2014). Overview of positional tracking technologies for virtual reality. Retrieved from http://www.roadtovr.com/overview-of-positional-tracking-technologies-virtual-reality/</ref> <ref name=”2”> Ziegler, E. (2010). Real-time markerless tracking of objects on mobile devices. Bachelor Thesis, University of Koblenz and Landau</ref>

	Markerless tracking is a method of motion tracking that avoids the use of markers (also known as [[fiducial markers]]). These markers are usually placed in the environment or in the head-mounted displays (HMDs), helping the system determine the users or camera position. The Markerless method uses instead natural features already present in the environment, for tracking purposes. <ref name=”3”> Virtual Reality Society. Virtual reality motion tracking technology has all the moves. Retrieved from https://www.vrs.org.uk/virtual-reality-gear/motion-tracking</ref> <ref name=”4”> Klein, G. (2006). Visual tracking for augmented reality. Ph.D. thesis, University of Cambridge, Department of Engineering</ref> This method is considered more flexible and effective since there isn’t the need for a prepared environment with markers. <ref name=”5”> Zikas, P., Bachlitzanakis, V., Papaefthymiou, M. and Papagiannakis, G. (2016). A mobile, AR inside-out positional tracking algorithm, (MARIOPOT), suitable for modern, affordable cardboard-style VR HMDs. In Digital Heritage. Progress in cultural heritage: documentation, preservation, and protection. Springer International Publishing, Switzerland</ref> <ref name=”6”> Lima, J.P., Roberto, R., Simões, F., Almeida, M., Figueiredo, L., Teixeira, J.M. and Teichrieb, V. (2017). Markerless tracking system for augmented reality in the automotive industry. Expert Systems With Applications, 82: 100-114</ref> The decreasing cost of computer vision is another factor that has made markerless tracking an attractive alternative of tracking. However, this method still has some problems, such as motion blur and fast motion affecting tracking. <ref name=”7”> Fang, W., Zheng, L., Deng, H. and Zhang, H. (2017). Real-time motion tracking for mobile augmented/virtual reality using adaptive visual-inertial fusion. Sensors, 17</ref> It also demands a trade-off between precision and efficiency. <ref name=”2”></ref>

	Inside-out is a term that defines the position of the cameras or other sensors relative to the object to be tracked. If they are placed in a stationary location exterior to the HMD, for example, it is considered [[outside-in tracking]]. In inside-out, the camera is placed in the HMD. <ref name=”8”> Boger, Y. (2014). Positional tracking: "Outside-in" vs. "Inside-out." Retrieved from https://vrguy.blogspot.pt/2014/08/positional-tracking-outside-in-vs.html</ref> There is great interest in inside-out tracking since it simplifies the setup and allows the user a greater sense of freedom by not being limited to a specific tracking space. Inside-out positional tracking has the potential to make VR completely wireless, more convenient and accessible. Some have gone as far as saying that it was the “holy grail” of the VR scene. <ref name=”9”> Robertson, A. (2017). Self-tracking headsets are 2017’s big VR trend — but they might leave your head spinning. Retrieved from https://www.theverge.com/2017/1/12/14223416/vr-headset-inside-out-tracking-intel-qualcomm-microsoft-ces-2017</ref> <ref name=”10”> Durbin, J. (2016). Google: Wireless positional tracking “solved”, but heat still a problem for VR. Retrieved from https://uploadvr.com/inside-out-google-solve-tracking/</ref>

	~~==Advantages of markerless inside-out tracking==~~
	~~The benefits of using markerless inside-out are those that come from the individual advantages of each tracking method.~~

	~~===~~Markerless~~===~~
	* Can work within unprepared environment;
	* No special hardware required;
	* No fiducial markers;
	* Able to use natural features to calculate position and orientation. <ref name=”5”></ref> <ref name=”7”></ref> <ref name=”11”> Hsia, J.S. (2017). Markerless AR: 4 Things developers need to know. Retrieved from https://developer.att.com/blog/markerless-ar-developers</ref>

	~~===Inside-out===~~
	* Increased mobility and freedom;
	* No need for external sensors;
	* Not affected by occlusion;
	* Provides a deeper sense of immersion since the user is not tethered. <ref name=”9”></ref> <ref name=”12”> Langley, H. (2017). Inside-out v Outside-in: How VR tracking works, and how it's going to change. Retrieved from https://www.wareable.com/vr/inside-out~~-vs-outside-in-vr-~~tracking~~-343</ref>~~

	~~==Project Tango and Project Alloy==~~
	[[Tango]] is a [[Google]]’s project that allows smartphones and other mobile devices to understand their location in space. It is a software and hardware solution that offers inside-out technology and markerless tracking. According to Google Tango’s director of engineering, Johnny Lee, “As you can see [inside-out positional tracking] clearly works on this phone…We’ve even had people strap a tablet sized device with Tango built in into a custom VR headset and the positional tracking worked just as well as it does here…The only thing really holding us back right now are the thermals. Right now, phones just get way too hot if we ask them to run positional tracking and split-screen stereoscopic image at 90 fps…As Daydream matures and Tango continues to improve, the sophistication around tracking will also evolve over the next 2-3 years.“ <ref name=”10”></ref>

	In 2016, Intel announced [[Project Alloy]] (Figure 1) - a VR system. It is also a markerless inside-out tracking device. During CES 2017, Intel showed off a developer kit of the project. Project Alloy uses a tiny camera array called Intel RealSense. These cameras are able to make a 3D map of the environment (e.g. a room) and the objects in it. The headset does not need wires, and it is powered by a battery. <ref name=”13”> Nunez, M. (2017). Intel’s Project Alloy is what a VR system should be. Retrieved from http://gizmodo.com/intels-project-alloy-is-what-a-vr-system-should-be-1790818104</ref>

	~~==Markerless, inside-out tracking Devices==~~
	~~[[Meta 2]]~~

	~~[[Microsoft HoloLens]]~~

	~~==Markerless, inside-out tracking Systems==~~
	~~[[Oculus Santa Cruz]] - [[Oculus VR]]~~

	~~[[Project Alloy]] - [[Intel]]~~

	~~[[Snapdragon VR]] - [[Qualcomm]]~~

	~~[[Tango]] - [[Google]]~~

	~~[[Windows MR Tracking]] - [[Microsoft]]~~

	~~[[WorldSense]] - [[Google]] - inside-out tracking system for standalone [[Daydream]] headsets~~

	~~==References==~~
	~~<references/>~~

	~~[[Category:Terms]] [[Category:Technical Terms~~]]

Paulo Pacheco at 14:26, 17 July 2017

2017-07-17T14:26:53Z

← Older revision		Revision as of 14:26, 17 July 2017
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	[[File:Intel Project Alloy.jpg\|thumb\|Figure 1. Intel's Project Alloy (Image: gizmodo.com)]]		[[File:Intel Project Alloy.jpg\|thumb\|Figure 1. Intel's Project Alloy (Image: gizmodo.com)]]

	Positional tracking is an essential component of both virtual reality (VR) and augmented reality (AR), contributing to a greater sense of immersion and presence. It determines the position and orientation of an object within the environment. In VR, this allows for the movements of the user to be translated into the virtual environment, and in AR it is essential for the placement of digital content into real objects or spaces. Markerless inside-out tracking is a composite term that defines a form of positional tracking that uses two specific methods: markerless tracking and inside-out tracking. <ref name=”1”> Boger, Y. (2014). Overview of positional tracking technologies for virtual reality. Retrieved from http://www.roadtovr.com/overview-of-positional-tracking-technologies-virtual-reality/</ref> <ref name=”2”> Ziegler, E. (2010). Real-time markerless tracking of objects on mobile devices. Bachelor Thesis, University of Koblenz and Landau</ref>		[[Positional tracking]] is an essential component of both [[virtual reality]] (VR) and [[augmented reality]] (AR), contributing to a greater sense of [[immersion]] and [[presence]]. It determines the position and orientation of an object within the environment. In VR, this allows for the movements of the user to be translated into the virtual environment, and in AR it is essential for the placement of digital content into real objects or spaces. Markerless inside-out tracking is a composite term that defines a form of positional tracking that uses two specific methods: [[markerless tracking]] and [[inside-out tracking]]. <ref name=”1”> Boger, Y. (2014). Overview of positional tracking technologies for virtual reality. Retrieved from http://www.roadtovr.com/overview-of-positional-tracking-technologies-virtual-reality/</ref> <ref name=”2”> Ziegler, E. (2010). Real-time markerless tracking of objects on mobile devices. Bachelor Thesis, University of Koblenz and Landau</ref>

	Markerless tracking is a method of motion tracking that avoids the use of markers (also known as fiducial markers). These markers are usually placed in the environment or in the head-mounted displays (HMDs), helping the system determine the users or camera position. The Markerless method uses instead natural features already present in the environment, for tracking purposes. <ref name=”3”> Virtual Reality Society. Virtual reality motion tracking technology has all the moves. Retrieved from https://www.vrs.org.uk/virtual-reality-gear/motion-tracking</ref> <ref name=”4”> Klein, G. (2006). Visual tracking for augmented reality. Ph.D. thesis, University of Cambridge, Department of Engineering</ref> This method is considered more flexible and effective since there isn’t the need for a prepared environment with markers. <ref name=”5”> Zikas, P., Bachlitzanakis, V., Papaefthymiou, M. and Papagiannakis, G. (2016). A mobile, AR inside-out positional tracking algorithm, (MARIOPOT), suitable for modern, affordable cardboard-style VR HMDs. In Digital Heritage. Progress in cultural heritage: documentation, preservation, and protection. Springer International Publishing, Switzerland</ref> <ref name=”6”> Lima, J.P., Roberto, R., Simões, F., Almeida, M., Figueiredo, L., Teixeira, J.M. and Teichrieb, V. (2017). Markerless tracking system for augmented reality in the automotive industry. Expert Systems With Applications, 82: 100-114</ref> The decreasing cost of computer vision is another factor that has made markerless tracking an attractive alternative of tracking. However, this method still has some problems, such as motion blur and fast motion affecting tracking. <ref name=”7”> Fang, W., Zheng, L., Deng, H. and Zhang, H. (2017). Real-time motion tracking for mobile augmented/virtual reality using adaptive visual-inertial fusion. Sensors, 17</ref> It also demands a trade-off between precision and efficiency. <ref name=”2”></ref>		Markerless tracking is a method of motion tracking that avoids the use of markers (also known as [[fiducial markers]]). These markers are usually placed in the environment or in the head-mounted displays (HMDs), helping the system determine the users or camera position. The Markerless method uses instead natural features already present in the environment, for tracking purposes. <ref name=”3”> Virtual Reality Society. Virtual reality motion tracking technology has all the moves. Retrieved from https://www.vrs.org.uk/virtual-reality-gear/motion-tracking</ref> <ref name=”4”> Klein, G. (2006). Visual tracking for augmented reality. Ph.D. thesis, University of Cambridge, Department of Engineering</ref> This method is considered more flexible and effective since there isn’t the need for a prepared environment with markers. <ref name=”5”> Zikas, P., Bachlitzanakis, V., Papaefthymiou, M. and Papagiannakis, G. (2016). A mobile, AR inside-out positional tracking algorithm, (MARIOPOT), suitable for modern, affordable cardboard-style VR HMDs. In Digital Heritage. Progress in cultural heritage: documentation, preservation, and protection. Springer International Publishing, Switzerland</ref> <ref name=”6”> Lima, J.P., Roberto, R., Simões, F., Almeida, M., Figueiredo, L., Teixeira, J.M. and Teichrieb, V. (2017). Markerless tracking system for augmented reality in the automotive industry. Expert Systems With Applications, 82: 100-114</ref> The decreasing cost of computer vision is another factor that has made markerless tracking an attractive alternative of tracking. However, this method still has some problems, such as motion blur and fast motion affecting tracking. <ref name=”7”> Fang, W., Zheng, L., Deng, H. and Zhang, H. (2017). Real-time motion tracking for mobile augmented/virtual reality using adaptive visual-inertial fusion. Sensors, 17</ref> It also demands a trade-off between precision and efficiency. <ref name=”2”></ref>

	Inside-out is a term that defines the position of the cameras or other sensors relative to the object to be tracked. If they are placed in a stationary location exterior to the HMD, for example, it is considered outside-in tracking. In inside-out, the camera is placed in the HMD. <ref name=”8”> Boger, Y. (2014). Positional tracking: "Outside-in" vs. "Inside-out." Retrieved from https://vrguy.blogspot.pt/2014/08/positional-tracking-outside-in-vs.html</ref> There is great interest in inside-out tracking since it simplifies the setup and allows the user a greater sense of freedom by not being limited to a specific tracking space. Inside-out positional tracking has the potential to make VR completely wireless, more convenient and accessible. Some have gone as far as saying that it was the “holy grail” of the VR scene. <ref name=”9”> Robertson, A. (2017). Self-tracking headsets are 2017’s big VR trend — but they might leave your head spinning. Retrieved from https://www.theverge.com/2017/1/12/14223416/vr-headset-inside-out-tracking-intel-qualcomm-microsoft-ces-2017</ref> <ref name=”10”> Durbin, J. (2016). Google: Wireless positional tracking “solved”, but heat still a problem for VR. Retrieved from https://uploadvr.com/inside-out-google-solve-tracking/</ref>		Inside-out is a term that defines the position of the cameras or other sensors relative to the object to be tracked. If they are placed in a stationary location exterior to the HMD, for example, it is considered [[outside-in tracking]]. In inside-out, the camera is placed in the HMD. <ref name=”8”> Boger, Y. (2014). Positional tracking: "Outside-in" vs. "Inside-out." Retrieved from https://vrguy.blogspot.pt/2014/08/positional-tracking-outside-in-vs.html</ref> There is great interest in inside-out tracking since it simplifies the setup and allows the user a greater sense of freedom by not being limited to a specific tracking space. Inside-out positional tracking has the potential to make VR completely wireless, more convenient and accessible. Some have gone as far as saying that it was the “holy grail” of the VR scene. <ref name=”9”> Robertson, A. (2017). Self-tracking headsets are 2017’s big VR trend — but they might leave your head spinning. Retrieved from https://www.theverge.com/2017/1/12/14223416/vr-headset-inside-out-tracking-intel-qualcomm-microsoft-ces-2017</ref> <ref name=”10”> Durbin, J. (2016). Google: Wireless positional tracking “solved”, but heat still a problem for VR. Retrieved from https://uploadvr.com/inside-out-google-solve-tracking/</ref>

	==Advantages of markerless inside-out tracking==		==Advantages of markerless inside-out tracking==
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	==Project Tango and Project Alloy==		==Project Tango and Project Alloy==
	Tango is a ~~Google’s~~ project that allows smartphones and other mobile devices to understand their location in space. It is a software and hardware solution that offers inside-out technology and markerless tracking. According to Google Tango’s director of engineering, Johnny Lee, “As you can see [inside-out positional tracking] clearly works on this phone…We’ve even had people strap a tablet sized device with Tango built in into a custom VR headset and the positional tracking worked just as well as it does here…The only thing really holding us back right now are the thermals. Right now, phones just get way too hot if we ask them to run positional tracking and split-screen stereoscopic image at 90 fps…As Daydream matures and Tango continues to improve, the sophistication around tracking will also evolve over the next 2-3 years.“ <ref name=”10”></ref>		[[Tango]] is a [[Google]]’s project that allows smartphones and other mobile devices to understand their location in space. It is a software and hardware solution that offers inside-out technology and markerless tracking. According to Google Tango’s director of engineering, Johnny Lee, “As you can see [inside-out positional tracking] clearly works on this phone…We’ve even had people strap a tablet sized device with Tango built in into a custom VR headset and the positional tracking worked just as well as it does here…The only thing really holding us back right now are the thermals. Right now, phones just get way too hot if we ask them to run positional tracking and split-screen stereoscopic image at 90 fps…As Daydream matures and Tango continues to improve, the sophistication around tracking will also evolve over the next 2-3 years.“ <ref name=”10”></ref>

	In 2016, Intel announced Project Alloy (Figure 1) - a VR system. It is also a markerless inside-out tracking device. During CES 2017, Intel showed off a developer kit of the project. Project Alloy uses a tiny camera array called Intel RealSense. These cameras are able to make a 3D map of the environment (e.g. a room) and the objects in it. The headset does not need wires, and it is powered by a battery. <ref name=”13”> Nunez, M. (2017). Intel’s Project Alloy is what a VR system should be. Retrieved from http://gizmodo.com/intels-project-alloy-is-what-a-vr-system-should-be-1790818104</ref>		In 2016, Intel announced [[Project Alloy]] (Figure 1) - a VR system. It is also a markerless inside-out tracking device. During CES 2017, Intel showed off a developer kit of the project. Project Alloy uses a tiny camera array called Intel RealSense. These cameras are able to make a 3D map of the environment (e.g. a room) and the objects in it. The headset does not need wires, and it is powered by a battery. <ref name=”13”> Nunez, M. (2017). Intel’s Project Alloy is what a VR system should be. Retrieved from http://gizmodo.com/intels-project-alloy-is-what-a-vr-system-should-be-1790818104</ref>

	==Markerless, inside-out tracking Devices==		==Markerless, inside-out tracking Devices==

Paulo Pacheco at 14:18, 17 July 2017

2017-07-17T14:18:23Z

← Older revision		Revision as of 14:18, 17 July 2017
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	==Introduction==		==Introduction==
	[[~~Markerless, inside-out tracking~~]] ~~is a composite term derived from two separate concepts, and refers to a method of tracking objects in three dimensional space.~~		[[File:Intel Project Alloy.jpg\|thumb\|Figure 1. Intel's Project Alloy (Image: gizmodo.com)]]

	~~[[markerless~~ tracking~~\|'Marker-less']] refers~~ to the ~~lack~~ of ~~[[fiducial markers]] used in~~ this ~~type~~ of ~~tracking~~, ~~while [[~~inside-out tracking~~\|'Inside~~-~~Out']] refers to the method by which data is gathered~~ for ~~the~~ tracking.		Positional tracking is an essential component of both virtual reality (VR) and augmented reality (AR), contributing to a greater sense of immersion and presence. It determines the position and orientation of an object within the environment. In VR, this allows for the movements of the user to be translated into the virtual environment, and in AR it is essential for the placement of digital content into real objects or spaces. Markerless inside-out tracking is a composite term that defines a form of positional tracking that uses two specific methods: markerless tracking and inside-out tracking. <ref name=”1”> Boger, Y. (2014). Overview of positional tracking technologies for virtual reality. Retrieved from http://www.roadtovr.com/overview-of-positional-tracking-technologies-virtual-reality/</ref> <ref name=”2”> Ziegler, E. (2010). Real-time markerless tracking of objects on mobile devices. Bachelor Thesis, University of Koblenz and Landau</ref>

	~~[[File:F2Ak4iE~~.~~jpg\|thumbnail\|A room covered~~ in ~~fiducial markers~~ for ~~inside out~~ tracking~~, at [[Valve Corporation]]~~<ref>~~Youtube, Video~~: ~~'Steam Dev Days'~~, ~~on Channel: Valve~~, ~~Published on Feb 11~~, ~~2014~~</ref>]]		Markerless tracking is a method of motion tracking that avoids the use of markers (also known as fiducial markers). These markers are usually placed in the environment or in the head-mounted displays (HMDs), helping the system determine the users or camera position. The Markerless method uses instead natural features already present in the environment, for tracking purposes. <ref name=”3”> Virtual Reality Society. Virtual reality motion tracking technology has all the moves. Retrieved from https://www.vrs.org.uk/virtual-reality-gear/motion-tracking</ref> <ref name=”4”> Klein, G. (2006). Visual tracking for augmented reality. Ph.D. thesis, University of Cambridge, Department of Engineering</ref> This method is considered more flexible and effective since there isn’t the need for a prepared environment with markers. <ref name=”5”> Zikas, P., Bachlitzanakis, V., Papaefthymiou, M. and Papagiannakis, G. (2016). A mobile, AR inside-out positional tracking algorithm, (MARIOPOT), suitable for modern, affordable cardboard-style VR HMDs. In Digital Heritage. Progress in cultural heritage: documentation, preservation, and protection. Springer International Publishing, Switzerland</ref> <ref name=”6”> Lima, J.P., Roberto, R., Simões, F., Almeida, M., Figueiredo, L., Teixeira, J.M. and Teichrieb, V. (2017). Markerless tracking system for augmented reality in the automotive industry. Expert Systems With Applications, 82: 100-114</ref> The decreasing cost of computer vision is another factor that has made markerless tracking an attractive alternative of tracking. However, this method still has some problems, such as motion blur and fast motion affecting tracking. <ref name=”7”> Fang, W., Zheng, L., Deng, H. and Zhang, H. (2017). Real-time motion tracking for mobile augmented/virtual reality using adaptive visual-inertial fusion. Sensors, 17</ref> It also demands a trade-off between precision and efficiency. <ref name=”2”></ref>
	~~==Marker-less Tracking==~~
	~~Because of~~ the ~~difficult computations required~~ for a ~~software to interpret live camera input~~, tracking ~~solutions that rely on cameras sometimes place [[fiducial markers]]~~ (~~which may look like QR codes~~), in ~~view~~ of ~~the~~ tracking ~~camera~~. ~~This gives the software a known pattern to look~~ for, ~~which makes computation simpler~~ and ~~faster~~.

	~~Thus~~ the ~~term~~, ~~'marker~~-~~less' refers~~ to a ~~system that is robust enough~~ that it ~~does not need~~ the ~~aid of printed markers to aid in its interpretation~~ of the ~~three dimensional space~~.		Inside-out is a term that defines the position of the cameras or other sensors relative to the object to be tracked. If they are placed in a stationary location exterior to the HMD, for example, it is considered outside-in tracking. In inside-out, the camera is placed in the HMD. <ref name=”8”> Boger, Y. (2014). Positional tracking: "Outside-in" vs. "Inside-out." Retrieved from https://vrguy.blogspot.pt/2014/08/positional-tracking-outside-in-vs.html</ref> There is great interest in inside-out tracking since it simplifies the setup and allows the user a greater sense of freedom by not being limited to a specific tracking space. Inside-out positional tracking has the potential to make VR completely wireless, more convenient and accessible. Some have gone as far as saying that it was the “holy grail” of the VR scene. <ref name=”9”> Robertson, A. (2017). Self-tracking headsets are 2017’s big VR trend — but they might leave your head spinning. Retrieved from https://www.theverge.com/2017/1/12/14223416/vr-headset-inside-out-tracking-intel-qualcomm-microsoft-ces-2017</ref> <ref name=”10”> Durbin, J. (2016). Google: Wireless positional tracking “solved”, but heat still a problem for VR. Retrieved from https://uploadvr.com/inside-out-google-solve-tracking/</ref>

	==~~Inside~~-~~Out Tracking~~==		==Advantages of markerless inside-out tracking==
	~~Tracking systems that make use~~ of ~~a camera may be organized into two main branches, '~~inside-out~~' and 'outside-in' tracking. Both terms refer to~~ the ~~placement~~ of ~~the tracking camera itself, with reference to what it is~~ tracking.		The benefits of using markerless inside-out are those that come from the individual advantages of each tracking method.

	~~In an [[inside-out tracking\|'inside-out' system]]~~, ~~the tracking camera is placed within the item being tracked~~ (~~for our purposes, like a [[Virtual_Reality#Devices\|head mounted display]]~~), from ~~which vantage point it look ''out'' at the world around it~~. ~~It uses its changing perspective on the outside world to note changes in position~~.		===Markerless===
			* Can work within unprepared environment;
			* No special hardware required;
			* No fiducial markers;
			* Able to use natural features to calculate position and orientation. <ref name=”5”></ref> <ref name=”7”></ref> <ref name=”11”> Hsia, J.S. (2017). Markerless AR: 4 Things developers need to know. Retrieved from https://developer.att.com/blog/markerless-ar-developers</ref>

	~~In an [[outside~~-~~in tracking\|'outside-in' system]],~~ a ~~tracking camera~~ is (~~or cameras are~~) ~~placed around the space within which the tracked object will move~~, and ~~use their changing view of the object itself~~ to ~~measure its changes~~ in ~~position.~~		===Inside-out===
			* Increased mobility and freedom;
			* No need for external sensors;
			* Not affected by occlusion;
			* Provides a deeper sense of immersion since the user is not tethered. <ref name=”9”></ref> <ref name=”12”> Langley, H. (2017). Inside-out v Outside-in: How VR tracking works, and how it's going to change. Retrieved from https://www.wareable.com/vr/inside-out-vs-outside-in-vr-tracking-343</ref>

	==~~Relative Merits~~==		==Project Tango and Project Alloy==
			Tango is a Google’s project that allows smartphones and other mobile devices to understand their location in space. It is a software and hardware solution that offers inside-out technology and markerless tracking. According to Google Tango’s director of engineering, Johnny Lee, “As you can see [inside-out positional tracking] clearly works on this phone…We’ve even had people strap a tablet sized device with Tango built in into a custom VR headset and the positional tracking worked just as well as it does here…The only thing really holding us back right now are the thermals. Right now, phones just get way too hot if we ask them to run positional tracking and split-screen stereoscopic image at 90 fps…As Daydream matures and Tango continues to improve, the sophistication around tracking will also evolve over the next 2-3 years.“ <ref name=”10”></ref>

	~~Both systems have merits; '~~inside-out' tracking ~~is notable because it can require no outside equipment, which is ideal for a portable~~ device. ~~Unfortunately~~, in the ~~case~~ of a headset, it ~~places the burden of computation on the headset itself~~. (~~A burden which~~ is ~~exacerbated when no fiducial markers are used.)~~		In 2016, Intel announced Project Alloy (Figure 1) - a VR system. It is also a markerless inside-out tracking device. During CES 2017, Intel showed off a developer kit of the project. Project Alloy uses a tiny camera array called Intel RealSense. These cameras are able to make a 3D map of the environment (e.g. a room) and the objects in it. The headset does not need wires, and it is powered by a battery. <ref name=”13”> Nunez, M. (2017). Intel’s Project Alloy is what a VR system should be. Retrieved from http://gizmodo.com/intels-project-alloy-is-what-a-vr-system-should-be-1790818104</ref>

	~~'Outside-in' tracking can~~ be ~~less computationally demanding, and can make use of multiple cameras to make results more stable and consistent~~. ~~This comes in part~~ from ~~the reduced chance of [[occlusion]]~~. ~~Unfortunately it requires~~ a ~~controlled environment and more extensive equipment.~~

	==Markerless, inside-out tracking Devices==		==Markerless, inside-out tracking Devices==

Neo222: /* Markerless, inside-out tracking Systems */

2017-06-11T19:41:58Z

Markerless, inside-out tracking Systems

← Older revision		Revision as of 19:41, 11 June 2017
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	[[Windows MR Tracking]] - [[Microsoft]]		[[Windows MR Tracking]] - [[Microsoft]]

	[[WorldSense]] - [[Google]]		[[WorldSense]] - [[Google]] - inside-out tracking system for standalone [[Daydream]] headsets

	==References==		==References==

Neo222 at 18:05, 7 June 2017

2017-06-07T18:05:14Z

← Older revision		Revision as of 18:05, 7 June 2017
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	<references/>		<references/>

	[[Category:Terms]]		[[Category:Terms]] [[Category:Technical Terms]]

Neo222 at 18:01, 7 June 2017

2017-06-07T18:01:40Z

← Older revision		Revision as of 18:01, 7 June 2017
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			==Introduction==
	[[Markerless, inside-out tracking]] is a composite term derived from two separate concepts, and refers to a method of tracking objects in three dimensional space.		[[Markerless, inside-out tracking]] is a composite term derived from two separate concepts, and refers to a method of tracking objects in three dimensional space.

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	'Outside-in' tracking can be less computationally demanding, and can make use of multiple cameras to make results more stable and consistent. This comes in part from the reduced chance of [[occlusion]]. Unfortunately it requires a controlled environment and more extensive equipment.		'Outside-in' tracking can be less computationally demanding, and can make use of multiple cameras to make results more stable and consistent. This comes in part from the reduced chance of [[occlusion]]. Unfortunately it requires a controlled environment and more extensive equipment.

	==~~Examples~~==		==Markerless, inside-out tracking Devices==
			[[Meta 2]]

	[[Microsoft HoloLens]]		[[Microsoft HoloLens]]

	[[Project Tango]]~~<ref>https://www.youtube.com/watch?v=tPR9EFE20Aw</ref>~~		==Markerless, inside-out tracking Systems==
			[[Oculus Santa Cruz]] - [[Oculus VR]]

			[[Project Alloy]] - [[Intel]]

			[[Snapdragon VR]] - [[Qualcomm]]

			[[Tango]] - [[Google]]

			[[Windows MR Tracking]] - [[Microsoft]]

	~~==Marker~~-~~less, Inside-out Tracking Systems==~~		[[WorldSense]] - [[Google]]

	==References==		==References==

Neo222 at 01:06, 5 June 2017

2017-06-05T01:06:07Z

← Older revision		Revision as of 01:06, 5 June 2017
Line 1:		Line 1:
	[[~~Marker-less~~, inside-out tracking]] is a composite term derived from two separate concepts, and refers to a method of tracking objects in three dimensional space.		[[Markerless, inside-out tracking]] is a composite term derived from two separate concepts, and refers to a method of tracking objects in three dimensional space.

	[[markerless tracking\|'Marker-less']] refers to the lack of [[fiducial markers]] used in this type of tracking, while [[inside-out tracking\|'Inside-Out']] refers to the method by which data is gathered for the tracking.		[[markerless tracking\|'Marker-less']] refers to the lack of [[fiducial markers]] used in this type of tracking, while [[inside-out tracking\|'Inside-Out']] refers to the method by which data is gathered for the tracking.

Neo222: Neo222 moved page Marker-less, inside-out tracking to Markerless, inside-out tracking

2017-06-05T01:06:00Z

Neo222 moved page Marker-less, inside-out tracking to Markerless, inside-out tracking

← Older revision		Revision as of 01:06, 5 June 2017
(No difference)

Neo222 at 01:04, 5 June 2017

2017-06-05T01:04:39Z

← Older revision		Revision as of 01:04, 5 June 2017
Line 1:		Line 1:
	Marker-less, ~~Inside~~-~~Out Tracking~~ is a composite term derived from two separate concepts, and refers to a method of tracking objects in three dimensional space.		[[Marker-less, inside-out tracking]] is a composite term derived from two separate concepts, and refers to a method of tracking objects in three dimensional space.

	[[markerless tracking\|'Marker-less']] refers to the lack of [[fiducial markers]] used in this type of tracking, while [[inside-out tracking\|'Inside-Out']] refers to the method by which data is gathered for the tracking.		[[markerless tracking\|'Marker-less']] refers to the lack of [[fiducial markers]] used in this type of tracking, while [[inside-out tracking\|'Inside-Out']] refers to the method by which data is gathered for the tracking.

Neo222: Neo222 moved page Marker-less, Inside-Out Tracking to Marker-less, inside-out tracking

2017-06-05T01:04:24Z

Neo222 moved page Marker-less, Inside-Out Tracking to Marker-less, inside-out tracking

← Older revision	Revision as of 01:04, 5 June 2017
(No difference)