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» Properties and Performances of Shape Similarity Measures
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3DPVT
2004
IEEE
194views Visualization» more  3DPVT 2004»
13 years 11 months ago
Thickness Histogram and Statistical Harmonic Representation for 3D Model Retrieval
Similarity measuring is a key problem for 3D model retrieval. In this paper, we propose a novel shape descriptor "Thickness Histogram" (TH) by uniformly estimating thick...
Yi Liu, Jiantao Pu, Hongbin Zha, Weibin Liu, Yusuk...
APVIS
2010
13 years 9 months ago
Shape-based transfer functions for volume visualization
We present a novel classification technique for volume visualization that takes the shape of volumetric features into account. The presented technique enables the user to distingu...
Jörg-Stefan Praßni, Timo Ropinski, J&ou...
IWVF
2001
Springer
14 years 3 days ago
Color and Shape Index for Region-Based Image Retrieval
Abstract. Most CBIR systems use low-level visual features for representation and retrieval of images. Generally such methods suffer from the problems of high-dimensionality leadin...
B. G. Prasad, S. K. Gupta, K. K. Biswas
ICPR
2008
IEEE
14 years 8 months ago
View invariant object recognition
This paper introduces a method for the recognition planar objects under projective geometry. Our method is based on a similarity measure invariant to projective transform. The pro...
Panu Srestasathiern, Alper Yilmaz
3DIM
2011
IEEE
12 years 7 months ago
Human Body Shape Prediction and Analysis Using Predictive Clustering Tree
—Predictive modeling aims at constructing models that predict a target property of an object based on its descriptions. In digital human modeling, it can be applied to predicting...
Pengcheng Xi, Hongyu Guo, Chang Shu