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IVC
2006
259views more  IVC 2006»
13 years 7 months ago
Object detection using spatial histogram features
In this paper, we propose an object detection approach using spatial histogram features. As spatial histograms consist of marginal distributions of an image over local patches, th...
Hongming Zhang, Wen Gao, Xilin Chen, Debin Zhao
CVPR
2004
IEEE
13 years 11 months ago
Scale-Invariant Shape Features for Recognition of Object Categories
We introduce a new class of distinguished regions based on detecting the most salient convex local arrangements of contours in the image. The regions are used in a similar way to ...
Frédéric Jurie, Cordelia Schmid
ICIP
2005
IEEE
14 years 9 months ago
Robust facial expression recognition using local binary patterns
A novel low-computation discriminative feature space is introduced for facial expression recognition capable of robust performance over a rang of image resolutions. Our approach i...
Caifeng Shan, Shaogang Gong, Peter W. McOwan
ICCV
2003
IEEE
14 years 9 months ago
A Bayesian Network Framework for Relational Shape Matching
A Bayesian network formulation for relational shape matching is presented. The main advantage of the relational shape matching approach is the obviation of the non-rigid spatial m...
Anand Rangarajan, James M. Coughlan, Alan L. Yuill...
ICIAR
2005
Springer
14 years 1 months ago
A Generic Shape Matching with Anchoring of Knowledge Primitives of Object Ontology
We have developed a generic ontology of objects, and a knowledge base of everyday physical objects. Objects are represented as assemblies of functional features and their spatial r...
Dongil Han, Bum-Jae You, Yong Se Kim, Il Hong Suh