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» Using Photometric Invariants for 3D Object Recognition
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CVPR
2003
IEEE
16 years 1 months ago
Multi-scale Phase-based Local Features
Local feature methods suitable for image feature based object recognition and for the estimation of motion and structure are composed of two steps, namely the `where' and `wh...
Gustavo Carneiro, Allan D. Jepson
ICCV
2007
IEEE
16 years 1 months ago
Spherical-Homoscedastic Shapes
Shape analysis requires invariance under translation, scale and rotation. Translation and scale invariance can be realized by normalizing shape vectors with respect to their mean ...
Onur C. Hamsici, Aleix M. Martínez
SMI
2005
IEEE
106views Image Analysis» more  SMI 2005»
15 years 5 months ago
Shape Complexity Based on Mutual Information
Shape complexity has recently received attention from different fields, such as computer vision and psychology. In this paper, integral geometry and information theory tools are ...
Jaume Rigau, Miquel Feixas, Mateu Sbert
ICML
2008
IEEE
16 years 12 days ago
Graph kernels between point clouds
Point clouds are sets of points in two or three dimensions. Most kernel methods for learning on sets of points have not yet dealt with the specific geometrical invariances and pra...
Francis R. Bach
CVIU
2010
104views more  CVIU 2010»
14 years 11 months ago
Pose estimation from multiple cameras based on Sylvester's equation
In this paper, we introduce a method to estimate the object's pose from multiple cameras. We focus on direct estimation of the 3D object pose from 2D image sequences. Scale-I...
Chong Chen, Dan Schonfeld