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» Using Photometric Invariants for 3D Object Recognition
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PR
2008
188views more  PR 2008»
14 years 9 months ago
Detection and recognition of contour parts based on shape similarity
Due to distortion, noise, segmentation errors, overlap, and occlusion of objects in digital images, it is usually impossible to extract complete object contours or to segment the ...
Xiang Bai, Xingwei Yang, Longin Jan Latecki
ICCV
2003
IEEE
15 years 11 months ago
Recognising Panoramas
The problem considered in this paper is the fully automatic construction of panoramas. Fundamentally, this problem requires recognition, as we need to know which parts of the pano...
Matthew Brown, David G. Lowe
PR
2000
117views more  PR 2000»
14 years 9 months ago
Planar shape recognition by shape morphing
A novel method based on shape morphing is proposed for 2D shape recognition. In this framework, the shape of objects is described by using their contour. Shape recognition involve...
Rahul Singh, Nikolaos Papanikolopoulos
IBPRIA
2007
Springer
15 years 3 months ago
Unidimensional Multiscale Local Features for Object Detection Under Rotation and Mild Occlusions
Abstract. In this article, scale and orientation invariant object detection is performed by matching intensity level histograms. Unlike other global measurement methods, the presen...
Michael Villamizar, Alberto Sanfeliu, Juan Andrade...
ISVC
2010
Springer
14 years 7 months ago
How to Overcome Perceptual Aliasing in ASIFT?
SIFT is one of the most popular algorithms to extract points of interest from images. It is a scale+rotation invariant method. As a consequence, if one compares points of interest ...
Nicolas Noury, Frédéric Sur, Marie-O...