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» Recognition of Parametrised Models from 3D Data
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DAGM
2009
Springer
16 years 1 months ago
Self-Organizing Maps for Pose Estimation with a Time-of-Flight Camera
We describe a technique for estimating human pose from an image sequence captured by a time-of-flight camera. The pose estimation is derived from a simple model of the human body ...
Martin Haker, Martin Böhme, Thomas Martinetz,...

Publication
200views
14 years 2 months ago
Learning Tags from Unsegmented Videos of Multiple Human Actions
Providing methods to support semantic interaction with growing volumes of video data is an increasingly important challenge for data mining. To this end, there has been some succes...
Timothy Hospedales, Shaogang Gong, Tao Xiang
CVPR
1998
IEEE
16 years 8 months ago
A Methodology for Deriving Probabilistic Correctness Measures from Recognizers
This paper describes the derivation of probability of correctness from scores assigned by most recognizers. Motivation for this research is three-fold: i probability values can be...
Djamel Bouchaffra, Venu Govindaraju, Sargur N. Sri...
VISUALIZATION
2002
IEEE
15 years 11 months ago
Level-Set Segmentation From Multiple Non-Uniform Volume Datasets
Typically 3-D MR and CT scans have a relatively high resolution in the scanning X;Y plane, but much lower resolution in the axial Z direction. This non-uniform sampling of an obje...
Ken Museth, David E. Breen, Leonid Zhukov, Ross T....
MICCAI
2004
Springer
16 years 7 months ago
Enhancement of Visual Realism with BRDF for Patient Specific Bronchoscopy Simulation
Abstract. This paper presents a novel method for photorealistic rendering of the bronchial lumen by directly deriving matched shading and texture parameters from video bronchoscope...
Adrian James Chung, Fani Deligianni, Pallav Shah, ...