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ICASSP
2011
IEEE
12 years 8 months ago
Keypoint-based near-duplicate images detection using affine invariant feature and color matching
This paper presents a new keypoint-based approach to nearduplicate images detection. It consists of three steps. Firstly, the keypoints of images are extracted and then matched. S...
Yue Wang, Zujun Hou, Karianto Leman
CVPR
2009
IEEE
1517views Computer Vision» more  CVPR 2009»
15 years 2 days ago
Linear Solution to Scale and Rotation Invariant Object Matching
Images of an object undergoing ego- or camera- motion often appear to be scaled, rotated, and deformed versions of each other. To detect and match such distorted patterns to a s...
Hao Jiang, Stella X. Yu
WACV
2005
IEEE
13 years 10 months ago
Incorporating Background Invariance into Feature-Based Object Recognition
Current feature-based object recognition methods use information derived from local image patches. For robustness, features are engineered for invariance to various transformation...
Andrew N. Stein, Martial Hebert
BMVC
2002
13 years 7 months ago
Invariant Features from Interest Point Groups
This paper approaches the problem of finding correspondences between images in which there are large changes in viewpoint, scale and illumination. Recent work has shown that scale...
Matthew Brown, David G. Lowe
ICIP
2010
IEEE
13 years 2 months ago
Comparison of local feature descriptors for mobile visual search
We evaluate the performance of MPEG-7 image signatures, Compressed Histogram of Gradients descriptor (CHoG) and Scale Invariant Feature Transform (SIFT) descriptors for mobile vis...
Vijay Chandrasekhar, David M. Chen, Andy Lin, Gabr...