Computer vision: Difference between revisions
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[[Computer vision]] is an important aspect of [[augmented reality]]. | [[Computer vision]] is an important aspect of [[augmented reality]]. It allows [[AR Devices]] to analyze and understand real world environments. | ||
==Goals and Challenges for Computer Vision== | ==Goals and Challenges for Computer Vision== | ||
[[Object recognition]] is so trivial for humans that we often take for granted the complexities associated with a proper implementation of computer vision. A computer-based machine has to be able to process and understand a large number of different scenarios under unpredictable conditions. It is also necessary to solve the issue of a dynamic scene, estimate the camera position, [[positional tracking|track the position]] and orientation of objects, handle various scales of the same object, and, most importantly, comprehend the scene as a whole. Thus, the main goal of computer vision is to duplicate the complexities of the [[Human Vision System]] (HVS) by reconstructing and interpreting a 3D scene from its 2D projection. | [[Object recognition]] is so trivial for humans that we often take for granted the complexities associated with a proper implementation of computer vision. A computer-based machine has to be able to process and understand a large number of different scenarios under unpredictable conditions. It is also necessary to solve the issue of a dynamic scene, estimate the camera position, [[positional tracking|track the position]] and orientation of objects, handle various scales of the same object, and, most importantly, comprehend the scene as a whole. Thus, the main goal of computer vision is to duplicate the complexities of the [[Human Vision System]] (HVS) by reconstructing and interpreting a 3D scene from its 2D projection. | ||