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» Training Deformable Models for Localization
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CVPR
2009
IEEE
15 years 2 months ago
Learning Mixed Templates for Object Recognition
This article proposes a method for learning object templates composed of local sketches and local textures, and investigates the relative importance of the sketches and textures ...
Haifeng Gong, Song Chun Zhu, Ying Nian Wu, Zhangzh...
CVPR
2005
IEEE
14 years 10 months ago
Part-Based Statistical Models for Object Classification and Detection
We propose using simple mixture models to define a set of mid-level binary local features based on binary oriented edge input. The features capture natural local structures in the...
Elliot Joel Bernstein, Yali Amit
CVPR
2008
IEEE
14 years 10 months ago
Conditional density learning via regression with application to deformable shape segmentation
Many vision problems can be cast as optimizing the conditional probability density function p(C|I) where I is an image and C is a vector of model parameters describing the image. ...
Jingdan Zhang, Shaohua Kevin Zhou, Dorin Comaniciu...
ISBI
2004
IEEE
14 years 8 months ago
Compact Support Radial Basis Functions for Soft Tissue Deformation
We describe the use of compact support radial basis functions (CSRBFs) for simulation of soft tissue deformation. CSRBFs allow surface and volumetric deformations to be computed i...
Mark P. Wachowiak, Xiaogang Wang, Aaron Fenster, T...
ICIP
2009
IEEE
14 years 9 months ago
Segmentation Using The Edge Strength Function As A Shape Prior Within A Local Deformation Model
This paper presents a new image segmentation framework which employs a shape prior in the form of an edge strength function to introduce a higher-level influence on the segmentati...