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» Techniques for improving stereo depth maps of faces
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IVC
2008
138views more  IVC 2008»
14 years 11 months ago
Reconstructing relief surfaces
This paper generalizes Markov Random Field (MRF) stereo methods to the generation of surface relief (height) fields rather than disparity or depth maps. This generalization enable...
George Vogiatzis, Philip H. S. Torr, Steven M. Sei...
ISVC
2009
Springer
15 years 6 months ago
Accurate Real-Time Disparity Estimation with Variational Methods
Estimating the disparity field between two stereo images is a common task in computer vision, e.g., to determine a dense depth map. Variational methods currently are among the mos...
Sergey Kosov, Thorsten Thormählen, Hans-Peter...
PAMI
2006
132views more  PAMI 2006»
14 years 11 months ago
Capitalize on Dimensionality Increasing Techniques for Improving Face Recognition Grand Challenge Performance
This paper presents a novel pattern recognition framework by capitalizing on dimensionality increasing techniques. In particular, the framework integrates Gabor image representatio...
Chengjun Liu
ICIP
2009
IEEE
14 years 9 months ago
Automatic scene relighting for video conferencing
This paper describes a new method to automatically improve scene lighting for video conferencing by learning the photometric mapping between a lower exposure and desired exposure ...
Stephen Mangiat, Jerry Gibson
ICIP
2001
IEEE
16 years 1 months ago
A face and gesture recognition system based on an active stereo sensor
The paper presents several novel 3D image analysis algorithms, applied towards the segmentation and modeling of faces and hands. These are subsequently used to build a face-based ...
Sotiris Malassiotis, Filareti Tsalakanidou, Nikola...