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» A novel local feature descriptor for image matching
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ICCV
2007
IEEE
15 years 11 months ago
Shape Descriptors for Maximally Stable Extremal Regions
This paper introduces an affine invariant shape descriptor for maximally stable extremal regions (MSER). Affine invariant feature descriptors are normally computed by sampling the...
David G. Lowe, Per-Erik Forssén
ICMCS
2008
IEEE
115views Multimedia» more  ICMCS 2008»
15 years 4 months ago
Spatial pyramid mining for logo detection in natural scenes
This work introduces a novel data mining scheme, spatial pyramid mining, to discover association rules at multiple resolutions in order to identify frequent spatial configuration...
Jim Kleban, Xing Xie, Wei-Ying Ma
CVPR
2009
IEEE
1289views Computer Vision» more  CVPR 2009»
16 years 5 months ago
Bundling Features for Large Scale Partial-Duplicate Web Image Search
In state-of-the-art image retrieval systems, an image is represented by a bag of visual words obtained by quantizing high-dimensional local image descriptors, and scalable schem...
Zhong Wu (Tsinghua University), Qifa Ke (Microsoft...
AMR
2007
Springer
197views Multimedia» more  AMR 2007»
15 years 4 months ago
How to Use SIFT Vectors to Analyze an Image with Database Templates
During last years, local image descriptors have received much attention because of their efficiency for several computer vision tasks such as image retrieval, image comparison, fea...
Adrien Auclair, Laurent D. Cohen, Nicole Vincent
ICASSP
2008
IEEE
15 years 4 months ago
Phase singularities for image representation and matching
Phase features are widely used in image processing and representation due to their stability to deformation and noise [1, 2]. However, phase singularities,where the signals vanish...
Yu Qiao, Wei Wang, Nobuaki Minematsu, Jianzhuang L...