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ROML: A Robust Feature Correspondence Approach for Matching Objects in A Set of Images
Feature-based object matching is a fundamental problem for many applications in computer vision, such as object recognition, 3D reconstruction, tracking, and motion segmentation. In this work, we consider simu...
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Article
Neither Global Nor Local: Regularized Patch-Based Representation for Single Sample Per Person Face Recognition
This paper presents a regularized patch-based representation for single sample per person face recognition. We represent each image by a collection of patches and seek their sparse representations under the ga...