Abstract
In this and the following chapters, we demonstrate why multiple subspaces can be a very useful class of models for image processing and how the subspace clustering techniques may facilitate many important image processing tasks, such as image representation, compression, image segmentation, and video segmentation.
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APA
Vidal, R., Ma, Y., & Sastry, S. S. (2016). Image representation. In Interdisciplinary Applied Mathematics (Vol. 40, pp. 349–376). Springer Nature. https://doi.org/10.1007/978-0-387-87811-9_9
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