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Robust Subspace Estimation Using Low-Rank Optimization: Theory and Applications - The International Series in Video Computing Omar Oreifej
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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
| Medios de comunicación | Libros Hardcover Book (Libro con lomo y cubierta duros) |
| Publicado | 3 de abril de 2014 |
| ISBN13 | 9783319041834 |
| Editores | Springer International Publishing AG |
| Páginas | 114 |
| Dimensiones | 162 × 237 × 13 mm · 385 g |
| Lengua | Alemán |
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