Recognition from Appearance Subspaces across Image Sets of Variable Scale

Linear subspace representations of appearance variation are pervasive in computer vision. In this paper we address the problem of robustly matching them (computing the similarity between them) when they correspond to sets of images of different (possibly greatly so) scales. We show that the na

• Type: Journal
• Year: 2010
• Where: BMVC
• Authors: Ognjen Arandjelovic
• Keywords: BMVC 2010, Computer Vision, Large Scale Discrepancies, Linear Subspace Representations, Low-scale Subspace