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» Recognizing Objects by Matching Oriented Points
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ICCV
1999
IEEE
14 years 9 months ago
Object Recognition from Local Scale-Invariant Features
Proc. of the International Conference on Computer Vision, Corfu (Sept. 1999) An object recognition system has been developed that uses a new class of local image features. The fea...
David G. Lowe
ICCV
2003
IEEE
14 years 9 months ago
Dense Shape Reconstruction of a Moving Object under Arbitrary, Unknown Lighting
We present a method for shape reconstruction from several images of a moving object. The reconstruction is dense (up to image resolution). The method assumes that the motion is kn...
Denis Simakov, Darya Frolova, Ronen Basri
PRL
2010
173views more  PRL 2010»
13 years 5 months ago
Resolving stereo matching errors due to repetitive structures using model information
This study regards the problem of incorrect stereo matches due to the occurrence of repetitive structures in the scene. In stereo vision, repetitive structures may lead to “phan...
Björn Barrois, Marcus Konrad, Christian W&oum...
BMVC
2010
13 years 5 months ago
Reducing mismatching under time-pressure by reasoning about visibility and occlusion
Three methods are explored which help indicate whether feature points are potentially visible or occluded in the matching phase of the keyframe-based real-time visual SLAM system....
Somkiat Wangsiripitak, David W. Murray
BMVC
2010
13 years 5 months ago
Back to the Future: Learning Shape Models from 3D CAD Data
Recognizing 3D objects from arbitrary view points is one of the most fundamental problems in computer vision. A major challenge lies in the transition between the 3D geometry of o...
Michael Stark, Michael Goesele, Bernt Schiele