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Designing local feature descriptors for 3D objects is a fundamental yet challenging task in 3D computer vision. Both geometry and spatial information descriptions are critical for a 3D local descriptor, while most previous studies concentrate on the former one. This paper investigates on how the characterization of spatial information would affect a 3D local descriptor in terms of descriptiveness,...
Feature description for the 3D local shape in the presence of noise, varying mesh resolutions, clutter and occlusion is a quite challenging task in 3D computer vision. This paper tackles the problem by proposing a new local reference frame (LRF) together with a novel triple orthogonal local depth images (TOLDI) representation, forming the TOLDI method for local shape description. Compared with previous...
This paper presents a novel local surface descriptor called rotational contour signatures (RCS) for 3D rigid objects. RCS comprises several signatures that characterize the 2D contour information derived from 3D-to-2D projection of the local surface. The inspiration of our encoding technique comes from that, viewing towards an object, its contour is an effective and robust cue for representing its...
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