Covariance-Based Descriptors for Efficient 3D Shape Matching, Retrieval, and Classification
نویسندگان
چکیده
منابع مشابه
Density-Based Shape Descriptors for 3D Object Retrieval
We develop a probabilistic framework that computes 3D shape descriptors in a more rigorous and accurate manner than usual histogram-based methods for the purpose of 3D object retrieval. We first use a numerical analytical approach to extract the shape information from each mesh triangle in a better way than the sparse sampling approach. These measurements are then combined to build a probabilit...
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A lot of 3D shape descriptors for 3D shape retrieval have been presented so far. This paper proposes a new mechanism, which employs several existing global and local 3D shape descriptors as input. With the sparse theory, some descriptors which play the most important role in measuring similarity between query model and the model in the dataset are selected automatically and an affinity matrix i...
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Three dimensional object representations have become an in-tegral part of modern computer graphic applications such as computer-aided design, game development and audio-visual production. At theMeanwhile, the 3D data has also become extremely common in fieldssuch as computer vision, computation geometry, molecular biology andmedicine. This is due to the rapid evolution of gr...
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We advocate the usage of 3D Zernike invariants as descriptors for 3D shape retrieval. The basis polynomials of this representation facilitate computation of invariants under rotation, translation and scaling. Some theoretical results have already been summarized in the past from the aspect of pattern recognition and shape analysis. We provide practical analysis of these invariants along with al...
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ژورنال
عنوان ژورنال: IEEE Transactions on Multimedia
سال: 2015
ISSN: 1520-9210,1941-0077
DOI: 10.1109/tmm.2015.2457676