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» A new stereo matching algorithm for binocular vision
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CVPR
2007
IEEE
16 years 1 months ago
Mumford-Shah Meets Stereo: Integration of Weak Depth Hypotheses
Recent results on stereo indicate that an accurate segmentation is crucial for obtaining faithful depth maps. Variational methods have successfully been applied to both image segm...
Thomas Pock, Christopher Zach, Horst Bischof
TIP
2011
255views more  TIP 2011»
14 years 6 months ago
Dictionary Learning for Stereo Image Representation
—One of the major challenges in multi-view imaging is the definition of a representation that reveals the intrinsic geometry of the visual information. Sparse image representati...
Ivana Tosic, Pascal Frossard
ICRA
2000
IEEE
136views Robotics» more  ICRA 2000»
15 years 4 months ago
Recent Progress in Local and Global Traversability for Planetary Rovers
Autonomous planetary rovers operating in vast unknown environments must operate efficiently because of size, power and computing limitations. Recently, we have developed a rover c...
Sanjiv Singh, Reid G. Simmons, Trey Smith, Anthony...
BMVC
1998
15 years 1 months ago
Improving Stereo Performance in Regions of Low Texture
In images with low texture the performance of conventional dense stereo can be poor. The usual solution to this is to use a large window but this itself can be problematic as the ...
Kimberly Moravec, Richard Harvey, J. Andrew Bangha...
BCS
2008
15 years 1 months ago
Improved SIFT-Features Matching for Object Recognition
: The SIFT algorithm (Scale Invariant Feature Transform) proposed by Lowe [1] is an approach for extracting distinctive invariant features from images. It has been successfully app...
Faraj Alhwarin, Chao Wang, Danijela Ristic-Durrant...