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» Parameter Estimation for MRF Stereo
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ICIP
2010
IEEE
13 years 6 months ago
3D augmented Markov random field for object recognition
In this paper, we propose to use 3D information to augment the Markov random field (MRF) model for object recognition. Conventional MRF for image-based object recognition usually ...
Wei Yu, Ahmed Bilal Ashraf, Yao-Jen Chang, Congcon...
ICPR
2002
IEEE
14 years 9 months ago
Featureless 6 DoF Pose Refinement from Stereo Images
We present a pose estimation method from an initial unreliable guess using calibrated stereo images. The approach does not rely on a priori known salient features on the surface. ...
Wolfgang Sepp, Gerd Hirzinger
PREMI
2009
Springer
14 years 3 months ago
Unsupervised Color Image Segmentation Using Compound Markov Random Field Model
Abstract. In this paper, we propose an unsupervised color image segmentation scheme using homotopy continuation method and Compound Markov Random Field (CMRF) model. The proposed s...
Sucheta Panda, P. K. Nanda
ICRA
2007
IEEE
168views Robotics» more  ICRA 2007»
14 years 2 months ago
A New Approach for Active Stereo Camera Calibration
— By active stereo we mean a stereo vision system that allows for independent panning and tilting for each of the two cameras. One advantage of active stereo in relation to regul...
Hyukseong Kwon, Johnny Park, Avinash C. Kak
ICPR
2010
IEEE
13 years 10 months ago
A Compound MRF Texture Model
—This paper describes a novel compound Markov random field model capable of realistic modelling of multispectral bidirectional texture function, which is currently the most adva...
Michael Haindl, Vojtech Havlicek