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» Iterative MAP and ML Estimations for Image Segmentation
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ICIAP
2005
ACM
14 years 1 months ago
Markovian Energy-Based Computer Vision Algorithms on Graphics Hardware
This paper shows how Markovian segmentation algorithms used to solve well known computer vision problems such as motion estimation, motion detection and stereovision can be signiï¬...
Pierre-Marc Jodoin, Max Mignotte, Jean-Franç...
FGR
1996
IEEE
311views Biometrics» more  FGR 1996»
14 years 13 hour ago
From 2D Images to 3D Face Geometry
This paper presents a global scheme for 3D face reconstruction and face segmentation into a limited number of analytical patches from stereo images. From a depth map, we generate ...
Richard Lengagne, Jean-Philippe Tarel, Olivier Mon...
ICIP
2009
IEEE
13 years 5 months ago
Single image defocus map estimation using local contrast prior
Image defocus estimation is useful for several applications including deblurring, blur magnification, measuring image quality, and depth of field segmentation. In this paper, we p...
Yu-Wing Tai, Michael S. Brown
ICRA
2008
IEEE
170views Robotics» more  ICRA 2008»
14 years 2 months ago
Human detection using iterative feature selection and logistic principal component analysis
— We present a fast feature selection algorithm suitable for object detection applications where the image being tested must be scanned repeatedly to detected the object of inter...
Wael Abd-Almageed, Larry S. Davis
ICIP
2009
IEEE
14 years 9 months ago
Efficient Edge, Motion And Depth-range Adaptive Processing For Enhancement Of Multi-view Depth Map Sequences
We present a novel and efficient multi-view depth map enhancement method proposed as a post-processing of initially estimated depth maps. The proposed method is based on edge, mot...