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» Retrieving Objects Using Local Integral Invariants
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ICPR
2008
IEEE
14 years 9 months ago
Object localization using affine invariant substructure constraints
In this paper we propose a novel method for generic object localization. The method is based on modeling the object as a graph at two levels: a local substructural representation ...
Ahmed M. Elgammal, Ishani Chakraborty
ECCV
2006
Springer
14 years 9 months ago
Top-Points as Interest Points for Image Matching
We consider the use of top-points for object retrieval. These points are based on scale-space and catastrophe theory, and are invariant under gray value scaling and offset as well ...
Bram Platel, Evguenia Balmachnova, Luc Florack, Ba...
IBPRIA
2007
Springer
14 years 2 months ago
Unidimensional Multiscale Local Features for Object Detection Under Rotation and Mild Occlusions
Abstract. In this article, scale and orientation invariant object detection is performed by matching intensity level histograms. Unlike other global measurement methods, the presen...
Michael Villamizar, Alberto Sanfeliu, Juan Andrade...
BMCV
2000
Springer
14 years 7 days ago
Towards a Computational Model for Object Recognition in IT Cortex
First IEEE International Workshop on Biologically Motivated Computer Vision, Seoul, Korea (May 2000). There is considerable evidence that object recognition in primates is based o...
David G. Lowe
ICMCS
1999
IEEE
139views Multimedia» more  ICMCS 1999»
14 years 6 days ago
Image Indexing and Retrieval Using Image-Derived, Geometrically and Illumination Invariant Features
In this paper, we propose novel image-derived features for image indexing and retrieval in digital library applications. The new features capture the intrinsic geometry and color ...
Ronald-Bryan O. Alferez, Yuan-Fang Wang