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- W2376201568 abstract "In this paper,we propose a new algorithm of 3D surface description and extend the idea of feature description on 2D images to 3D meshes.The algorithm represents 3D meshes as a mapping function from vertices to Gaussian curvatures,so the similarity to 2D images is obtained.Equipped with normal and gradient,we build local spherical coordinate and describe the geometrical information around feature point by 2D histogram.The descriptor is invariant to the changes in translation,rotation and scale.Based on the finally produced feature vectors(feature descriptors) with 128 dimensions,we carry out the feature matching on meshes with multi-resolutions and different topologies.We present and analyze the experimental results.The paper is motivated by the need for feature description and feature matching,due to the recent advancements of 3D scan modeling and multiple camera 3D reconstruction.The main application includes scan alignment,model registration,animation tracking,symmetry detection and model retrieval." @default.
- W2376201568 created "2016-06-24" @default.
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- W2376201568 date "2011-01-01" @default.
- W2376201568 modified "2023-09-23" @default.
- W2376201568 title "3D Surface Feature Description and Feature Matching" @default.
- W2376201568 hasPublicationYear "2011" @default.
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