Stereokinematic analysis of visual data in active convergent stereoscopy
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2007, Robotics and Autonomous SystemsCitation Excerpt :Depth information also provides a fundamental contribution to the segmentation of images into their basic elements, one of the most serious challenges faced by machine vision systems. Since the process of reconstructing a 3-D scene from its projections on a 2-D sensor is inherently ambiguous, vision systems usually rely on cues that originate from the comparison of images taken either from different points of view (stereoscopic vision) [1–6] or in different instants of time (depth from motion) [7,2,3,8], as well as from a priori knowledge of the scene and its structure (depth from shading, size, occlusions, etc.) [9–12]. Not surprisingly, in nature, where greater accuracy of depth perception can mean the difference between capturing a prey or failing to survive, many species exhibit a striking precision in estimating distance by means of vision [13].
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