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» Matching images more efficiently with local descriptors
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PAMI
2011
13 years 2 months ago
Learning Linear Discriminant Projections for Dimensionality Reduction of Image Descriptors
This paper proposes a general method for improving image descriptors using discriminant projections. Two methods based on Linear Discriminant Analysis have been recently introduce...
Hongping Cai, Krystian Mikolajczyk, Jiri Matas
ECCV
2010
Springer
14 years 16 days 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...
PAMI
2012
11 years 10 months ago
LDAHash: Improved Matching with Smaller Descriptors
—SIFT-like local feature descriptors are ubiquitously employed in such computer vision applications as content-based retrieval, video analysis, copy detection, object recognition...
Christoph Strecha, Alexander A. Bronstein, Michael...
ICB
2009
Springer
226views Biometrics» more  ICB 2009»
14 years 2 months ago
Accurate Palmprint Recognition Using Spatial Bags of Local Layered Descriptors
Abstract. State-of-the-art palmprint recognition algorithms achieve high accuracy based on component based texture analysis. However, they are still sensitive to local variations o...
Yufei Han, Tieniu Tan, Zhenan Sun
ICASSP
2009
IEEE
14 years 2 months ago
Q-SIFT: Efficient feature descriptors for distributed camera calibration
We consider camera self-calibration, i.e. the estimation of parameters for camera sensors, in the setting of a visual sensor network where the sensors are distributed and energy-c...
Chao Yu, Gaurav Sharma