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» Object recognition and Random Image Structure Evolution
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ICPR
2002
IEEE
14 years 8 months ago
Shape Representation Using Concavity Graphs
In this paper, a new graph data structure for 2-D shape representation is proposed. The new structure is called a concavity graph, and is an evolution from the already known "...
Ossama El Badawy, Mohamed Kamel
CVPR
2011
IEEE
13 years 3 months ago
Boundary Preserving Dense Local Regions
We propose a dense local region detector to extract features suitable for image matching and object recognition tasks. Whereas traditional local interest operators rely on repeata...
Jaechul Kim, Kristen Grauman
EMMCVPR
2011
Springer
12 years 7 months ago
Branch and Bound Strategies for Non-maximal Suppression in Object Detection
In this work, we are concerned with the detection of multiple objects in an image. We demonstrate that typically applied objectives have the structure of a random field model, but...
Matthew B. Blaschko
DPHOTO
2010
208views Hardware» more  DPHOTO 2010»
13 years 9 months ago
A signature analysis based method for elliptical shape
The high level context image analysis regards many fields as face recognition, smile detection, automatic red eye removal, iris recognition, fingerprint verification, etc. Techniq...
Ivana Guarneri, Mirko Guarnera, Giuseppe Messina, ...
PR
2008
178views more  PR 2008»
13 years 6 months ago
An effective and fast iris recognition system based on a combined multiscale feature extraction technique
The randomness of iris pattern makes it one of the most reliable biometric traits. On the other hand, the complex iris image structure and the various sources of intra-class varia...
Makram Nabti, Ahmed Bouridane