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» From Images to Shape Models for Object Detection
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ICPR
2008
IEEE
16 years 1 months ago
Top down image segmentation using congealing and graph-cut
This paper develops a weakly supervised algorithm that learns to segment rigid multi-colored objects from a set of training images and key points. The approach uses congealing to ...
Douglas Moore, John Stevens, Scott Lundberg, Bruce...
AUSAI
2006
Springer
15 years 8 months ago
3D Morphable Model Parameter Estimation
Estimating the structure of the human face is a long studied and difficult task. In this paper we present a new method for estimating facial structure from only a minimal number o...
Nathan Faggian, Andrew P. Paplinski, Jamie Sherrah
CVPR
2007
IEEE
16 years 8 months ago
Joint Real-time Object Detection and Pose Estimation Using Probabilistic Boosting Network
In this paper, we present a learning procedure called probabilistic boosting network (PBN) for joint real-time object detection and pose estimation. Grounded on the law of total p...
Jingdan Zhang, Shaohua Kevin Zhou, Leonard McMilla...
CVPR
2012
IEEE
13 years 9 months ago
Occlusion reasoning for object detection under arbitrary viewpoint
We present a unified occlusion model for object instance detection under arbitrary viewpoint. Whereas previous approaches primarily modeled local coherency of occlusions or attem...
Edward Hsiao, Martial Hebert
TMI
1998
91views more  TMI 1998»
15 years 6 months ago
A Vision-Based Technique for Objective Assessment of Burn Scars
—In this paper a method for the objective assessment of burn scars is proposed. The quantitative measures developed in this research provide an objective way to calculate elastic...
Leonid V. Tsap, Dmitry B. Goldgof, Sudeep Sarkar, ...