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» Shape Fitting on Point Sets with Probability Distributions
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SCHOLARPEDIA
2008
89views more  SCHOLARPEDIA 2008»
14 years 10 months ago
Support vector clustering
We present a novel method for clustering using the support vector machine approach. Data points are mapped to a high dimensional feature space, where support vectors are used to d...
Asa Ben-Hur
COMPGEOM
2011
ACM
14 years 3 months ago
Comparing distributions and shapes using the kernel distance
Starting with a similarity function between objects, it is possible to define a distance metric (the kernel distance) on pairs of objects, and more generally on probability distr...
Sarang C. Joshi, Raj Varma Kommaraju, Jeff M. Phil...
SIGGRAPH
1987
ACM
15 years 3 months ago
Direct least-squares fitting of algebraic surfaces
In the course of developing a system for fitting smooth curves to camera input we have developed several direct (i.e. noniterative) methods for fitting a shape (line, circle, conic...
Vaughan R. Pratt
CW
2004
IEEE
15 years 3 months ago
Watermarking a 3D Shape Model Defined as a Point Set
This paper discusses a method to watermark a 3D shape model defined as a set of unoriented points. Our approach is to perform frequency domain analysis of the shape of the 3D poin...
Ryutarou Ohbuchi, Akio Mukaiyama, Shigeo Takahashi
CVPR
2007
IEEE
16 years 1 months ago
Model-Guided Segmentation of 3D Neuroradiological Image Using Statistical Surface Wavelet Model
This paper proposes a novel model-guided segmentation framework utilizing a statistical surface wavelet model as a shape prior. In the model building process, a set of training sh...
Yang Li, Tiow Seng Tan, Ihar Volkau, Wieslaw L. No...