Generalized Relevance Learning Grassmann Quantization

arXiv:2403.09183v1 Announce Type: cross
Abstract: Due to advancements in digital cameras, it is easy to gather multiple images (or videos) from an object under different conditions. Therefore, image-set classification has attracted more attention, and different solutions were proposed to model them. A popular way to model image sets is subspaces, which form a manifold called the Grassmann manifold. In this contribution, we extend the application of Generalized Relevance Learning Vector Quantization to deal with Grassmann manifold. The proposed model returns …

abstract arxiv attention cameras classification cs.cv cs.lg digital easy form gather generalized image images manifold multiple object popular quantization set solutions them type videos