Optimization techniques in computer vision. Ill-posed problems and regularization
Image processing and computer vision provide a large variety of problems where optimization is necessary and there are not many books to address this necessity directly. This volume thoroughly presents several optimization problems and how they are related to image processing and computer vision and many solutions for dealing with such situations. Optimization techniques for image processing target image quantization, image filtering, image reconstruction and others, while for computer vision examples include feature detection, motion estimation or pattern matching. The presentation of the problems is accompanied by illustrating examples. The book contains both a great theoretical background and practical applications and is thus self-contained. It is useful for master and doctoral students, as well as for researchers and practitioners dealing with computer vision and image processing, but also working in mathematical optimization.
scientific article; zbMATH DE number 6676690