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dc.contributor.editorStolkin, Rustam
dc.date.accessioned2021-04-20T14:52:43Z
dc.date.available2021-04-20T14:52:43Z
dc.date.issued2007
dc.identifierONIX_20210420_9783902613066_11
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/64655
dc.description.abstractThis book reports recent advances in the use of pattern recognition techniques for computer and robot vision. The sciences of pattern recognition and computational vision have been inextricably intertwined since their early days, some four decades ago with the emergence of fast digital computing. All computer vision techniques could be regarded as a form of pattern recognition, in the broadest sense of the term. Conversely, if one looks through the contents of a typical international pattern recognition conference proceedings, it appears that the large majority (perhaps 70-80%) of all pattern recognition papers are concerned with the analysis of images. In particular, these sciences overlap in areas of low level vision such as segmentation, edge detection and other kinds of feature extraction and region identification, which are the focus of this book.
dc.languageEnglish
dc.subject.classificationbic Book Industry Communication::U Computing & information technology::UY Computer science::UYQ Artificial intelligence::UYQV Computer visionen_US
dc.subject.otherImage processing
dc.titleScene Reconstruction Pose Estimation and Tracking
dc.typebook
oapen.identifier.doi10.5772/41
oapen.relation.isPublishedBy78a36484-2c0c-47cb-ad67-2b9f5cd4a8f6
oapen.relation.isbn9783902613066
oapen.relation.isbn9789535158097
oapen.imprintIntechOpen
oapen.pages542


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