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ICPR
2008
IEEE
13 years 11 months ago
Matching images more efficiently with local descriptors
Image matching is a fundamental task for many applications of computer vision. Today it is very popular to represent two matched images as two bags of local descriptors, and the c...
Dong Zhang, Weiqiang Wang, Qingming Huang, Shuqian...
MM
2000
ACM
515views Multimedia» more  MM 2000»
13 years 9 months ago
Efficient use of local edge histogram descriptor
The purpose of this paper is to show how the edge histogram descriptor for MPEG-7 can be efficiently utilized for image matching. Since the edge histogram descriptor recommended f...
Dong Kwon Park, Yoon Seok Jeon, Chee Sun Won
CVPR
2009
IEEE
1561views Computer Vision» more  CVPR 2009»
15 years 3 days ago
SURFTrac: Efficient Tracking and Continuous Object Recognition using Local Feature Descriptors
We present an efficient algorithm for continuous image recognition and feature descriptor tracking in video which operates by reducing the search space of possible interest poin...
Duy-Nguyen Ta (Georgia Institute of Technology), W...
CVPR
2004
IEEE
14 years 6 months ago
PCA-SIFT: A More Distinctive Representation for Local Image Descriptors
Stable local feature detection and representation is a fundamental component of many image registration and object recognition algorithms. Mikolajczyk and Schmid [14] recently eva...
Yan Ke, Rahul Sukthankar
ICMCS
2008
IEEE
245views Multimedia» more  ICMCS 2008»
13 years 11 months ago
A novel local feature descriptor for image matching
Image matching is a fundamental task of many problems in computer vision. This paper presents a novel local feature descriptor based on the gradient distance and orientation histo...
Heng Yang, Qing Wang