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» Recognizing 3D Objects Using Photometric Invariant
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BMVC
2002
14 years 12 months ago
Using Points at Infinity for Parameter Decoupling in Camera Calibration
We consider the problem of decoupling translation and rotation for a collection of 3D data related to 2D images by a projection. The main contribution is to show that equations de...
Jean-Yves Guillemaut, Alberto S. Aguado, John Illi...
PAMI
2002
112views more  PAMI 2002»
14 years 9 months ago
Feature Space Trajectory Methods for Active Computer Vision
We advance new active object recognition algorithms that classify rigid objects and estimate their pose from intensity images. Our algorithms automatically detect if the class or p...
Michael A. Sipe, David Casasent
ECCV
2010
Springer
14 years 9 months ago
Efficient Computation of Scale-Space Features for Deformable Shape Correspondences
Abstract. With the rapid development of fast data acquisition techniques, 3D scans that record the geometric and photometric information of deformable objects are routinely acquire...
Tingbo Hou, Hong Qin
ICPR
2008
IEEE
15 years 10 months ago
Learning invariant region descriptor operators with genetic programming and the F-measure
Recognizing and localizing objects is a classical problem in computer vision that is an important stage for many automated systems. In order to perform object recognition many res...
Cynthia B. Pérez, Gustavo Olague
JMM2
2006
111views more  JMM2 2006»
14 years 9 months ago
Employing the Hand as an Interface Device
We propose algorithms and applications for using the hand as an interface device in virtual and physical spaces. In virtual drawing, by tracking the hand in 3D and estimating a vir...
Afshin Sepehri, Yaser Yacoob, Larry S. Davis