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» A novel local feature descriptor for image matching
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ECCV
2004
Springer
16 years 2 months ago
Multiple View Feature Descriptors from Image Sequences via Kernel Principal Component Analysis
Abstract. We present a method for learning feature descriptors using multiple images, motivated by the problems of mobile robot navigation and localization. The technique uses the ...
Jason Meltzer, Ming-Hsuan Yang, Rakesh Gupta, Stef...
CVPR
2005
IEEE
16 years 2 months ago
A SIFT Descriptor with Global Context
Matching points between multiple images of a scene is a vital component of many computer vision tasks. Point matching involves creating a succinct and discriminative descriptor fo...
Eric N. Mortensen, Hongli Deng, Linda G. Shapiro
CVPR
2004
IEEE
16 years 2 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
ECCV
2010
Springer
15 years 4 months ago
Feature tracking for wide-baseline image retrieval
We address the problem of large scale image retrieval in a wide-baseline setting, where for any query image all the matching database images will come from very different viewpoint...
ICPR
2006
IEEE
16 years 1 months ago
Image Categorization Using Local Probabilistic Descriptors
Image categorization involves the well known difficulties with different visual appearances of a single object, but introduces also the problem of within-category variation. This ...
Dorian Suc, Jasna Maver, Katarina Mele