منابع مشابه
Density-Based 3D Shape Descriptors
We propose a novel probabilistic framework for the extraction of density-based 3D shape descriptors using kernel density estimation. Our descriptors are derived from the probability density functions (pdf) of local surface features characterizing the 3D object geometry. Assuming that the shape of the 3D object is represented as a mesh consisting of triangles with arbitrary size and shape, we pr...
متن کاملDensity-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...
متن کاملImproving Efficiency of Density-Based Shape Descriptors for 3D Object Retrieval
We consider 3D shape description as a probability modeling problem. The local surface properties are first measured via various features, and then the probability density function (pdf) of the multidimensional feature vector becomes the shape descriptor. Our prior work has shown that, for 3D object retrieval, pdf-based schemes can provide descriptors that are computationally efficient and perfo...
متن کامل3D Solid Texture Shape Descriptors based on Multi-Resolution Pyramids
3D solid textures are important data for computer graphics applications, and the amount of the data is increasing. When a large number of the 3D solid textures are stored as databases, similarity search techniques and classification techniques are essential for effective use of the databases. We have applied 3D HLAC (Higher Order Local Autocorrelation) masks to 3D solid textures for extracting ...
متن کاملA Unifying Computational Framework for Histogram-based 3D Shape Descriptors
In this paper, we propose a novel framework for 3D histogram based shape descriptors based on modeling the probability density functions of geometrical quantities, shape functions which measure 3D surface properties, as mixtures of Gaussians. We make use of the special geometry of triangular meshes in 3D, provide efficient means to approximate the moments of shape functions per triangle, and as...
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ژورنال
عنوان ژورنال: EURASIP Journal on Advances in Signal Processing
سال: 2006
ISSN: 1687-6180
DOI: 10.1155/2007/32503