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ICPR
2008
IEEE
14 years 9 months ago
Towards estimation of dense disparities from stereo images containing large textureless regions
Stereo algorithms for structure reconstruction demand accurate disparities with low mismatch errors and false positives. Mismatch errors in large textureless regions force most ac...
Cathleen A. Geiger, Chandra Kambhamettu, Gowri Som...
ICPR
2008
IEEE
14 years 2 months ago
Symmetric segment-based stereo matching of motion blurred images with illumination variations
Most existing methods of stereo matching focus on dealing with clear image pairs. Consequently, there is a lack of approaches capable of handling degraded images captured under ch...
Wei Wang, Yizhou Wang, Longshe Huo, Qingming Huang...
JWSCG
2011
256views more  JWSCG 2011»
12 years 10 months ago
Accurate Real-Time Multi-Camera Stereo-Matching on the GPU for 3D Reconstruction
Using multi-camera matching techniques for 3d reconstruction there is usually the trade-off between the quality of the computed depth map and the speed of the computations. Wherea...
Klaus Denker, Georg Umlauf
ICCV
2005
IEEE
14 years 9 months ago
Towards Ultimate Motion Estimation: Combining Highest Accuracy with Real-Time Performance
Although variational methods are among the most accurate techniques for estimating the optical flow, they have not yet entered the field of real-time vision. Main reason is the gr...
Andrés Bruhn, Joachim Weickert
ICPR
2008
IEEE
13 years 9 months ago
Towards estimation of dense disparities from stereo images containing large textureless regions
Stereo algorithms for structure reconstruction demand accurate disparities with low mismatch errors and false positives. Mismatch errors in large textureless regions force most a...
Rohith MV, Gowri Somanath, Chandra Kambhamettu, Ca...