15 April 1994 Combined motion and depth estimation based on multiocular image sequences for 3DTV
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Abstract
This paper describes a new robust stereo and motion analysis algorithm to meet the special demands of a multiview 3D TV system. Based on this algorithm, images can be synthesized for any virtual camera position within the array covered by the real cameras. It is possible to create any number of perspective views needed for smooth motion parallax in multiview systems. For the reconstruction of a scene, 3D line segments are estimated by triangulation of corresponding 2D line segments (disparity estimation). This estimation of 3D segments is carried out more dependably by the combination of stereo and motion information and -- to achieve further improvements -- the utilization of multiocular stereo. New measures for a more reliable estimation of the scene are proposed. To achieve subjectively error-free estimations, Prazdny's coherence principle is extended to motion and image sequences as well as sub-constellations of the multi-camera rig. This algorithm comes up with a 4D space-time model of the scene by the cooperation of multi-camera motion and stereo.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Robert Skerjanc, Robert Skerjanc, "Combined motion and depth estimation based on multiocular image sequences for 3DTV", Proc. SPIE 2177, Stereoscopic Displays and Virtual Reality Systems, (15 April 1994); doi: 10.1117/12.173902; https://doi.org/10.1117/12.173902
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