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» Matching images more efficiently with local descriptors
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WWW
2009
ACM
14 years 8 months ago
Detecting image spam using local invariant features and pyramid match kernel
Image spam is a new obfuscating method which spammers invented to more effectively bypass conventional text based spam filters. In this paper, we extract local invariant features ...
Haiqiang Zuo, Weiming Hu, Ou Wu, Yunfei Chen, Guan...
CVPR
2010
IEEE
14 years 4 months ago
Aggregating local descriptors into a compact image representation
We address the problem of image search on a very large scale, where three constraints have to be considered jointly: the accuracy of the search, its efficiency, and the memory usag...
Hervé Jégou, Matthijs Douze, Cordelia Schmid and...
ECCV
2010
Springer
13 years 7 months ago
Image Classification Using Super-Vector Coding of Local Image Descriptors
Abstract. This paper introduces a new framework for image classification using local visual descriptors. The pipeline first performs a nonlinear feature transformation on descripto...
Xi Zhou, Kai Yu, Tong Zhang, Thomas S. Huang
ACIVS
2007
Springer
14 years 1 months ago
Descriptor-Free Smooth Feature-Point Matching for Images Separated by Small/Mid Baselines
Abstract. Most existing feature-point matching algorithms rely on photometric region descriptors to distinct and match feature points in two images. In this paper, we propose an eï...
Ping Li, Dirk Farin, Rene Klein Gunnewiek, Peter H...
IROS
2008
IEEE
155views Robotics» more  IROS 2008»
14 years 1 months ago
Performance evaluation of a vertical line descriptor for omnidirectional images
— In robotics, vertical lines have been always very useful for autonomous robot localization and navigation in structured environments. This paper presents a robust method for ma...
Davide Scaramuzza, Cédric Pradalier, Roland...