Image Understanding in Unstructured Environment
In the development of autonomous sensory controlled systems, image understanding of sensory data is a difficult but important topic. Due to the unpredictable and uncertain nature of the environment, current image processing and computer vision approaches are not adequate to provide the capabilities needed by the systems. Thus, new approaches are required in the overall system design, including sophisticated reasoning processes, uncertainty management and adaptable architectures. This general issue is addressed by Thomas M Strat and Grahame B Smith. Lashon B Booker discusses the Bayesian approach in plausible reasoning for classification of complex ship images based on incomplete and uncertain evidence. Dynamic scene analysis is treated by Seetharaman Gunasekaran and Tzay Y Young. A spherical perspective approach is introduced to overcome some limitations of the current vision systems by Michael Penna and Su-shing Chen. Finally, Markov image models and their pixel-level approaches are extended to global approaches, through Dempster-Shafer and other techniques, by Mingchuan Zhang and Su-shing Chen.
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3-D motion algorithm antipodal points approach Artificial Intelligence autonomous vehicle Bayesian belief bit oriented spherical classification problem solving components composite motion computer vision considered contextual classification creating and displaying curves data token database defined determine domain equations estimate evidential extracted feature function given hypothesis IEEE image intensity image plane image sequence image understanding inference intersection iterative knowledge linear Markov random field matrix mean squared error methods Monge surface motion analysis motion parameters multispectral node nonlinear object observed octree optical flow oriented spherical images orthographic projection parametrized surface pattern perspective images perspective projection pixel planar face planar perspective point correspondence projective geometry query Queryl reasoning region correspondence represent retrieve rotation Sect segmented semantic network sensor shape change parameters ship classification space spherical coordinates spherical geometry stochastic relaxation structure task techniques tion transformation uncertainty vector vocabulary voxel