Robust Parameter Estimation in Computer Vision
نویسندگان
چکیده
منابع مشابه
Robust Parameter Estimation in Computer Vision
Estimation techniques in computer vision applications must estimate accurate model parameters despite small-scale noise in the data, occasional large-scale measurement errors (outliers), and measurements from multiple populations in the same data set. Increasingly, robust estimation techniques, some borrowed from the statistics literature and others described in the computer vision literature, ...
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Parameter estimation plays a dominant role in a wide number of image processing and computer vision tasks. In these settings, parameterizations can be as diverse as the application areas. Examples of such parameters are the entries of filter kernels optimized for a certain criterion, image features such as the velocity field, or part descriptors or compositions thereof. Subsequently, approaches...
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ژورنال
عنوان ژورنال: SIAM Review
سال: 1999
ISSN: 0036-1445,1095-7200
DOI: 10.1137/s0036144598345802