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Depth cue: Difference between revisions

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*  **[[Cross-modal interaction|Cross-Modal Integration]]:** Investigating how integrating depth information from other senses (e.g., [[spatial audio]], [[haptic feedback]]) can enhance or reinforce visual depth perception. <ref name="ErnstCrossModal2002">Ernst, Marc O., and Martin S. Banks. "Humans integrate visual and haptic information in a statistically optimal fashion." Nature 415.6870 (2002): 429-433.</ref>
*  **[[Cross-modal interaction|Cross-Modal Integration]]:** Investigating how integrating depth information from other senses (e.g., [[spatial audio]], [[haptic feedback]]) can enhance or reinforce visual depth perception. <ref name="ErnstCrossModal2002">Ernst, Marc O., and Martin S. Banks. "Humans integrate visual and haptic information in a statistically optimal fashion." Nature 415.6870 (2002): 429-433.</ref>
*  **[[Neural rendering|Neural Rendering]] and AI:** Utilizing machine learning techniques (e.g., [[Neural Radiance Fields]] (NeRF)) to potentially render complex scenes with perceptually accurate depth cues more efficiently by learning implicit scene representations. <ref name="MildenhallNeRF2020">Mildenhall, Ben, et al. "Nerf: Representing scenes as neural radiance fields for view synthesis." European conference on computer vision. Springer, Cham, 2020.</ref>
*  **[[Neural rendering|Neural Rendering]] and AI:** Utilizing machine learning techniques (e.g., [[Neural Radiance Fields]] (NeRF)) to potentially render complex scenes with perceptually accurate depth cues more efficiently by learning implicit scene representations. <ref name="MildenhallNeRF2020">Mildenhall, Ben, et al. "Nerf: Representing scenes as neural radiance fields for view synthesis." European conference on computer vision. Springer, Cham, 2020.</ref>
== Conclusion ==
Depth cues are fundamental to human visual perception and represent both a cornerstone and a significant challenge for virtual and augmented reality systems. While current technology effectively simulates many cues like binocular disparity, motion parallax, and various pictorial cues, the inability of most displays to correctly reproduce the physiological cue of accommodation leads to the vergence-accommodation conflict, impacting user comfort, performance, and the overall realism of immersive experiences. Ongoing research and the development of advanced display technologies like varifocal, multifocal, light field, and holographic systems promise to overcome these limitations, paving the way for VR and AR experiences with more natural and complete depth perception. A thorough understanding of the interplay and limitations of depth cues remains essential for researchers and developers pushing the boundaries of immersive technologies.


==References==
==References==
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[[Category:Terms]]
[[Category:Technical Terms]]
[[Category:Perception]]
[[Category:Perception]]
[[Category:Human Vision]]
[[Category:Human Vision]]
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