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» Highly Discriminative Invariant FEatures for Image Matching
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CVPR
2001
IEEE
16 years 3 months ago
Local Feature View Clustering for 3D Object Recognition
There have been important recent advances in object recognition through the matching of invariant local image features. However, the existing approaches are based on matching to i...
David G. Lowe
ICIP
2009
IEEE
16 years 3 months ago
Video Stabilization For A Hand-held Camera Based On 3d Motion Model
In this paper, a video stabilization technique is presented. There are four steps in the proposed approach. We begin with extracting feature points from the input image using the ...
CVPR
2009
IEEE
1517views Computer Vision» more  CVPR 2009»
16 years 9 months 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
CVPR
2006
IEEE
1579views Computer Vision» more  CVPR 2006»
16 years 3 months ago
CSIFT: A SIFT Descriptor with Color Invariant Characteristics
SIFT has been proven to be the most robust local invariant feature descriptor. SIFT is designed mainly for gray images. However, color provides valuable information in object desc...
Alaa E. Abdel-Hakim, Aly A. Farag
ECCV
2010
Springer
15 years 7 months ago
Critical Nets and Beta-Stable Features for Image Matching
Abstract. We propose new ideas and efficient algorithms towards bridging the gap between bag-of-features and constellation descriptors for image matching. Specifically, we show ho...