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27 February 2012Efficient panoramic sampling of real-world environments for image-based stereoscopic telepresence
A key problem in telepresence systems is how to effectively emulate the subjective experience of being there delivered
by our visual system. A step toward visual realism can be achieved by using high-quality panoramic snapshots instead of
computer-based models of the scene. Furthermore, a better immersive illusion can be created by enabling the free viewpoint
stereoscopic navigation of the scene, i.e. using omnistereoscopic imaging. However, commonly found implementation
constraints of telepresence systems such as acquisition time, rendering complexity, and storage capacity, make the idea of
using stereoscopic panoramas challenging. Having these constraints in mind, we developed a technique for the efficient
acquisition and rendering of omnistereoscopic images based on sampling the scene with clusters of three panoramic images
arranged in a controlled geometric pattern. Our technique can be implemented with any off-the-shelf panoramic cameras.
Furthermore, it does not require neither the acquisition of additional depth information of the scene nor the estimation of
camera parameters. The low the computational complexity and reduced data overhead of our rendering process make it
attractive for the large scale stereoscopic sampling in a variety of scenarios.
Luis E. Gurrieri andEric Dubois
"Efficient panoramic sampling of real-world environments for image-based stereoscopic telepresence", Proc. SPIE 8288, Stereoscopic Displays and Applications XXIII, 82882D (27 February 2012); https://doi.org/10.1117/12.908794
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Luis E. Gurrieri, Eric Dubois, "Efficient panoramic sampling of real-world environments for image-based stereoscopic telepresence," Proc. SPIE 8288, Stereoscopic Displays and Applications XXIII, 82882D (27 February 2012); https://doi.org/10.1117/12.908794