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» A New Bayesian Method for Range Image Segmentation
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CVPR
2011
IEEE
13 years 5 months ago
2D Nonrigid Partial Shape Matching Using MCMC and Contour Subdivision
Shape matching has many applications in computer vision, such as shape classification, object recognition, object detection, and localization. In 2D cases, shape instances are 2D c...
Y. Cao, Z. Zhang, I. Czogiel, I. Dryden, S. Wang
MVA
2007
196views Computer Vision» more  MVA 2007»
13 years 10 months ago
Fingerprint Verification Using Perturbation Method
This paper describes a new, powerful technique of fingerprint verification based on a perturbation method. The proposed method consists of four parts. The first part performs loca...
Satoshi Otaka, Yoshihisa Nishiyama, Takahiro Hatan...
AVSS
2005
IEEE
14 years 2 months ago
Object tracking and matting for a class of dynamic image-based representations
Image-based rendering (IBR) is an emerging technology for photo-realistic rendering of scenes from a collection of densely sampled images and videos. Recently, an object-based app...
Zhi-Feng Gan, Shing-Chow Chan, Heung-Yeung Shum
MICCAI
2008
Springer
14 years 10 months ago
Automatic Guidance of an Ultrasound Probe by Visual Servoing Based on B-Mode Image Moments
We propose a new visual servo approach to automatically control in real-time the full motion of a 2D ultrasound (US) probe held by a medical robot in order to reach a desired image...
Rafik Mebarki, Alexandre Krupa, Christophe Colle...
IPMI
2009
Springer
14 years 10 months ago
Estimating Uncertainty in Brain Region Delineations
This paper presents a method for estimating uncertainty in MRI-based brain region delineations provided by fully-automated segmentation methods. In large data sets, the uncertainty...
Karl R. Beutner, Gautam Prasad, Evan Fletcher, Cha...