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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
| Mediji | Grāmatas Paperback Book (Grāmata ar mīksto vāku un līmēto muguru) |
| Izlaists | 2016. gada 23. augusts |
| ISBN13 | 9783319352480 |
| Izdevēji | Springer International Publishing AG |
| Lapas | 114 |
| Izmēri | 155 × 235 × 7 mm · 181 g |
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