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Signal Processing for Computer Vision is a singular and thorough treatment of the signal processing options of filters and operators for low-diploma laptop imaginative and prescient.
Computer imaginative and prescient has progressed considerably over present years. From methods solely related to straightforward footage, it has developed to deal with increasingly difficult scenes, volumes and time sequences. A substantial part of this book gives with the difficulty of designing fashions that may be utilized for a variety of features inside laptop imaginative and prescient. These partial fashions have some widespread properties of invariance period and generality in model period.
Signal Processing for Computer Vision is the first book to offer a unified treatment of illustration and filtering of higher order data, comparable to vectors and tensors in multidimensional space. Included is a scientific organisation for the implementation of difficult fashions in a hierarchical modular development and novel supplies on adaptive filtering using tensor data illustration.
Signal Processing for Computer Vision is supposed for final year undergraduate and graduate school college students along with engineers and researchers inside the topic of laptop imaginative and prescient and image processing.
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