caa a22 4500 469036028 CHVBK 20180323132756.0 cr unu---uuuuu 170328e19921201xx s 000 0 eng 10.1007/BF00133700 doi (NATIONALLICENCE)springer-10.1007/BF00133700 Motion recovery from image sequences using only first order optical flow information [Elektronische Daten] [Shahriar Negahdaripour, Shinhak Lee] The primary goal in motion vision is to extract information about the motion and shape of an object in a scene that is encoded in the optic flow. While many solutions to this problem, both iterative and in closed form, have been proposed, practitioners still view the problem as unsolved, since these methods, for the most part, cannot deal with some important aspects of realistic scenes. Among these are complex unsegmented scenes, nonsmooth objects, and general motion of the camera. In addition, the performance of many methods degrades ungracefully as the quality of the data deteriorates. Here, we will derive a closed-form solution for motion estimation based on thefirst-order information from two image regions with distinct flow "structures”. A unique solution is guaranteed when these corespond to two surface patches with different normal vectors. Given an image sequence, we will show how the image may be segmented into regions with the necessary properties, optical flow is computed for these regions, and motion parameters are calculated. The method can be applied to arbitrary scenes and any camera motion. We will show theoretically why the method is more robust than other proposed techniques that require the knowledge of the full flow or information up to the second-order terms of it. Experimental results are presented to support the theoretical derivations. Kluwer Academic Publishers, 1992 Negahdaripour Shahriar Department of Electrical and Computer Engineering, University of Miami, 33124, Coral Gables, FL aut Lee Shinhak Department of Electrical Engineering, University of Wasington, 98195, Seattle, WA aut International Journal of Computer Vision Kluwer Academic Publishers 9/3(1992-12-01), 163-184 0920-5691 9:3<163 1992 9 11263 https://doi.org/10.1007/BF00133700 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/BF00133700 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Negahdaripour Shahriar Department of Electrical and Computer Engineering, University of Miami, 33124, Coral Gables, FL aut NATIONALLICENCE 700 1- Lee Shinhak Department of Electrical Engineering, University of Wasington, 98195, Seattle, WA aut NATIONALLICENCE 773 0- International Journal of Computer Vision Kluwer Academic Publishers 9/3(1992-12-01), 163-184 0920-5691 9:3<163 1992 9 11263 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer