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» Uncertain Geometry in Computer Vision
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ACIVS
2006
Springer
14 years 13 days ago
Interactive Learning of Scene Context Extractor Using Combination of Bayesian Network and Logic Network
The vision-based scene understanding technique that infers scene-interpreting contexts from real-world vision data has to not only deal with various uncertain environments but also...
Keum-Sung Hwang, Sung-Bae Cho
ACIVS
2006
Springer
14 years 13 days ago
Context-Based Scene Recognition Using Bayesian Networks with Scale-Invariant Feature Transform
Scene understanding is an important problem in intelligent robotics. Since visual information is uncertain due to several reasons, we need a novel method that has robustness to the...
Seung-Bin Im, Sung-Bae Cho
ECCV
2010
Springer
13 years 9 months ago
Efficient Computation of Scale-Space Features for Deformable Shape Correspondences
Abstract. With the rapid development of fast data acquisition techniques, 3D scans that record the geometric and photometric information of deformable objects are routinely acquire...
Tingbo Hou, Hong Qin
COMPGEOM
2009
ACM
14 years 3 months ago
High resolution surface reconstruction from overlapping multiple-views
Extracting a computer model of a real scene from a sequence of views, is one of the most challenging and fundamental problems in computer vision. Stereo vision algorithms allow us...
Nader Salman, Mariette Yvinec
TOG
2008
120views more  TOG 2008»
13 years 8 months ago
Markerless garment capture
A lot of research has recently focused on the problem of capturing the geometry and motion of garments. Such work usually relies on special markers printed on the fabric to establ...
Derek Bradley, Tiberiu Popa, Alla Sheffer, Wolfgan...