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» Highly Discriminative Invariant FEatures for Image Matching
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ICIP
2010
IEEE
14 years 12 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...
CVPR
2004
IEEE
16 years 4 months ago
Video Data Mining Using Configurations of Viewpoint Invariant Regions
We describe a method for obtaining the principal objects, characters and scenes in a video by measuring the reoccurrence of spatial configurations of viewpoint invariant features....
Josef Sivic, Andrew Zisserman
ICPR
2006
IEEE
16 years 3 months ago
Line-Based Affine Invariant Object Location Using Transformation Space Decomposition
This paper presents a novel line-based affine invariant object location methodology. Our algorithm employs a new line-based transformation space decomposition technique to exploit...
Richard Yang, Yongsheng Gao
CVPR
2007
IEEE
16 years 4 months ago
3D Probabilistic Feature Point Model for Object Detection and Recognition
This paper presents a novel statistical shape model that can be used to detect and localise feature points of a class of objects in images. The shape model is inspired from the 3D...
Sami Romdhani, Thomas Vetter
MVA
1992
15 years 3 months ago
The Domain of Orthogonal Transforms and the Understanding of Image Features
In this study, we explore the domain of orthogonal transforms, in order to bring an understanding on the characterization of image features, with emphasis placed on the Karhunen-L...
Malek Adjouadi, Habibie Sumargo, Jean Andrian, Fra...