Image Understanding in Unstructured Envi (Series in Automation,, nr. 2)

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Notă GoodReads:
en Limba Engleză Carte Paperback – October 1988
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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ISBN-13: 9789971504786
ISBN-10: 9971504782
Pagini: 216
Dimensiuni: 147 x 206 x 12 mm
Greutate: 0.31 kg
Editura: World Scientific Publishing Company
Seriile SERIES IN AUTOMATION , Series in Automation,