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ICPR
2010
IEEE
15 years 8 months ago
Shape Guided Maximally Stable Extremal Region (MSER) Tracking
Maximally Stable Extremal Regions (MSERs) are one of the most prominent interest region detectors in computer vision due to their powerful properties and low computational demands...
Michael Donoser, Hayko Riemenschneider, Horst Bisc...
IVC
2006
259views more  IVC 2006»
15 years 6 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
PAMI
2007
155views more  PAMI 2007»
15 years 6 months ago
Localization of Shapes Using Statistical Models and Stochastic Optimization
—In this paper, we present a new model for deformations of shapes. A pseudolikelihood is based on the statistical distribution of the gradient vector field of the gray level. The...
François Destrempes, Max Mignotte, Jean-Fra...
ICCV
2007
IEEE
16 years 8 months ago
Hierarchical Part-Template Matching for Human Detection and Segmentation
Local part-based human detectors are capable of handling partial occlusions efficiently and modeling shape articulations flexibly, while global shape template-based human detector...
Zhe Lin, Larry S. Davis, David S. Doermann, Daniel...
MVA
1996
122views Computer Vision» more  MVA 1996»
15 years 7 months ago
Object Recognition from Range Images Using Superquadric Representations
Segmentation of range images using superquadric entities has been pointed out by a number of researchers as a powerful approach towards object recognition. Problems exist in findi...
Erik R. van Dop, Paul P. L. Regtien