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» Support Vector Machines for 3D Object Recognition
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FGR
2002
IEEE
155views Biometrics» more  FGR 2002»
15 years 2 months ago
Model-Based Face Tracking for View-Independent Facial Expression Recognition
Facial expression recognition is necessary for designing any realistic human-machine interfaces. Previous published facial expression recognition systems achieve good recognition ...
Salih Burak Göktürk, Carlo Tomasi, Bernd...
ICML
2005
IEEE
15 years 10 months ago
Object correspondence as a machine learning problem
We propose machine learning methods for the estimation of deformation fields that transform two given objects into each other, thereby establishing a dense point to point correspo...
Bernhard Schölkopf, Florian Steinke, Volker B...
CVPR
2010
IEEE
15 years 5 months ago
On improving point-based 3D recognition
We present a framework that retains ambiguity in feature matching to increase the performance of 3D object recognition systems. Whereas previous systems removed ambiguous correspo...
Edward Hsiao, Alvaro Collet, Martial Hebert
ICCV
2003
IEEE
15 years 11 months ago
A New Paradigm for Recognizing 3-D Object Shapes from Range Data
Most of the work on 3-D object recognition from range data has used an alignment-verification approach in which a specific 3-D object is matched to an exact instance of the same o...
Salvador Ruiz-Correa, Linda G. Shapiro, Marina Mei...
IVC
2006
120views more  IVC 2006»
14 years 9 months ago
Facial pose from 3D data
The distribution of the apparent 3D shape of human faces across the view-sphere is complex, owing to factors such as variations in identity, facial expression, minor occlusions an...
Ajit Rajwade, Martin D. Levine