134
Voted
ICPR
2006
IEEE
16 years 7 months ago
2006
IEEE
There are different approaches to pose estimation and registration of different body parts using voxel data. We propose a general bottom-up approach in order to segment the voxels...
159
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ICPR
2006
IEEE
16 years 7 months ago
2006
IEEE
Face recognition using 3D information has been intensively investigated in recent years. The features selected from 3D facial surfaces are invariant to pose and lighting condition...
149
Voted
ICPR
2006
IEEE
16 years 7 months ago
2006
IEEE
Linear feature detection is a very important issue in the areas of image analysis, computer vision, and pattern recognition. It has found applications in many diverse areas such a...
ICPR
2006
IEEE
16 years 7 months ago
2006
IEEE
210
click to vote
ICPR
2006
IEEE
16 years 7 months ago
2006
IEEE
Face representations based on Gabor features have achieved great success in face recognition, such as Elastic Graph Matching, Gabor Fisher Classifier (GFC), and AdaBoosted Gabor F...
147
Voted
ICPR
2006
IEEE
16 years 7 months ago
2006
IEEE
In cast-shadow analysis one merely draws a line between each occluder and its associated shadow cast onto a different surface, possibly with wedges indicating precision. In some c...
140
click to vote
ICPR
2006
IEEE
16 years 7 months ago
2006
IEEE
In this paper we derive a sampling theorem, which is the first one to guarantee topology preservation during digitization of 3D objects. This new theorem is applicable to several ...
151
click to vote
ICPR
2006
IEEE
16 years 7 months ago
2006
IEEE
In a previous paper [1] we showed that a 3D object can be digitized without changing the topology if the object is r-regular and if the reconstruction method fulfills certain requ...
133
click to vote
ICPR
2006
IEEE
16 years 7 months ago
2006
IEEE
We propose a competitive finite mixture of neurons (or perceptrons) for solving binary classification problems. Our classifier includes a prior for the weights between different n...
145
click to vote
ICPR
2006
IEEE
16 years 7 months ago
2006
IEEE
We present a framework that enables the use of traditional feature selection algorithms in a new context - for building a set of subsets of specified properties. During the course...