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» A novel local feature descriptor for image matching
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Publication
323views
16 years 2 months ago
Estimation of Location Uncertainty for Scale Invariant Feature Points
Image feature points are the basis for numerous computer vision tasks, such as pose estimation or object detection. State of the art algorithms detect features that are invariant t...
Bernhard Zeisl, Pierre Fite Georgel, Florian Schwe...
ECCV
2006
Springer
16 years 8 months ago
Detecting Symmetry and Symmetric Constellations of Features
A novel and efficient method is presented for grouping feature points on the basis of their underlying symmetry and characterising the symmetries present in an image. We show how s...
Gareth Loy, Jan-Olof Eklundh
MM
2005
ACM
140views Multimedia» more  MM 2005»
15 years 12 months ago
Web image clustering by consistent utilization of visual features and surrounding texts
Image clustering, an important technology for image processing, has been actively researched for a long period of time. Especially in recent years, with the explosive growth of th...
Bin Gao, Tie-Yan Liu, Tao Qin, Xin Zheng, QianShen...
VMV
2001
101views Visualization» more  VMV 2001»
15 years 7 months ago
Object Localization Using Linear Adaptive Filters
We present a novel approach to localization of objects in clutter images with the use of linear adaptive filters in a two-object classifier: target object versus clutter object. A...
Ben-Zion Shaick, Leonid P. Yaroslavsky
ICPR
2006
IEEE
16 years 12 days ago
Global-to-Local Non-Rigid Shape Registration
Non-rigid shape registration is an important issue in computer vision. In this paper we propose a novel globalto-local procedure for aligning non-rigid shapes. The global similari...
Hui Chen, Bir Bhanu