Robust Subspace Estimation Using Low-Rank Optimization: Theory and Applications - The International Series in Video Computing - Omar Oreifej - Books - Springer International Publishing AG - 9783319041834 - April 3, 2014
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Omar Oreifej
Robust Subspace Estimation Using Low-Rank Optimization: Theory and Applications - The International Series in Video Computing

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By minimizing the rank of the matrix containing observations drawn from images, the authors demonstrate how to solve four fundamental computer vision problems, including video denosing, background subtraction, motion estimation, and activity recognition.

120 pages, 2 black & white illustrations, 39 colour illustrations, 10 black & white tables, biograph

Media Books     Hardcover Book   (Book with hard spine and cover)
Released April 3, 2014
ISBN13 9783319041834
Publishers Springer International Publishing AG
Pages 114
Dimensions 162 × 237 × 13 mm   ·   385 g
Language German  

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