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Robust Subspace Estimation Using Low-Rank Optimization: Theory and Applications - The International Series in Video Computing Omar Oreifej Softcover reprint of the original 1st ed. 2014 edition
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Robust Subspace Estimation Using Low-Rank Optimization: Theory and Applications - The International Series in Video Computing
Omar Oreifej
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
| Mídia | Livros Paperback Book (Livro de capa flexível e brochura) |
| Lançado | 23 de agosto de 2016 |
| ISBN13 | 9783319352480 |
| Editoras | Springer International Publishing AG |
| Páginas | 114 |
| Dimensões | 155 × 235 × 7 mm · 181 g |
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