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In this paper, we present a novel 3D model alignment method by analyzing the voxels of 3D meshes and a visual similarity based 3D model matching and retrieving method using active tabu search. Firstly, each 3D model is voxelized and applied voxels based PCA transformation, then it is represented by six depth images which are projected by rendering in the PCA coordinate system. Hybrid descriptors are...
This paper describes a method for registering deformable 3D objects. When an object such as a hand deforms, the deformation of the local shape is small, whereas the global shape deforms to a greater extent in many cases. Therefore, the local shape can be used as a feature for matching corresponding points. Instead of using a descriptor of the local shape, we introduce the convolution of the error...
Most state-of-the-art nonrigid shape recovery methods usually use explicit deformable mesh models to regularize surface deformation and constrain the search space. These triangulated mesh models heavily relying on the quadratic regularization term are difficult to accurately capture large deformations, such as severe bending. In this paper, we propose a novel Gaussian process regression approach to...
We propose a compact 3D object representation scheme that can greatly assist the search/retrieval process in a network environment. A 3D mesh-based object is transformed into a new coordinate frame by using the Isomap (isometric feature mapping) method. During the transformation process, not only the structure of the salient parts of an object will be kept, but also the geometrical relationships will...
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