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 simultaneously matching object instances in a set of images, where both inlier and outlier features are extracted... (read more)

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