Robust Subspace Estimation Using Low-Rank Optimization: Theory and Applications - The International Series in Video Computing - Omar Oreifej - Books - Springer International Publishing AG - 9783319352480 - August 23, 2016
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Omar Oreifej
Robust Subspace Estimation Using Low-Rank Optimization: Theory and Applications - The International Series in Video Computing Softcover reprint of the original 1st ed. 2014 edition

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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     Paperback Book   (Book with soft cover and glued back)
Released August 23, 2016
ISBN13 9783319352480
Publishers Springer International Publishing AG
Pages 114
Dimensions 155 × 235 × 7 mm   ·   181 g

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