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» Learning 3-D object orientation from images
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CVPR
2007
IEEE
16 years 8 months ago
3D Pose Estimation Based on Multiple Monocular Cues
In this study we propose an integrated approach to the problem of 3D pose estimation. The main difference to the majority of known methods is the usage of complementary image info...
Björn Barrois, Christian Wöhler
TMI
2002
259views more  TMI 2002»
15 years 5 months ago
3-D Active Appearance Models: Segmentation of Cardiac MR and Ultrasound Images
A model-based method for three-dimensional image segmentation was developed and its performance assessed in segmentation of volumetric cardiac magnetic resonance (MR) images and ec...
Steven C. Mitchell, Johan G. Bosch, Boudewijn P. F...
ISBI
2011
IEEE
14 years 9 months ago
3D segmentation of rodent brain structures using Active Volume Model with shape priors
Object boundary extraction is an important task in brain image analysis. Acquiring detailed 3D representations of the brain structures could improve the detection rate of diseases...
Shaoting Zhang, Junzhou Huang, Mustafa Gökhan...
MVA
2007
165views Computer Vision» more  MVA 2007»
15 years 7 months ago
Self-Calibration for Metric 3D Reconstruction Using Homography
In this paper, our goal is to reconstruct metric 3D models for large structures (or other 3D objects) from uncalibrated images. The internal camera parameters are estimated by usi...
Cheng-Yuan Tang, Yi-Leh Wu, Pei-Ching Hu, Hsien-Ch...
ICPR
2008
IEEE
16 years 14 days ago
Real-time 3D tracking using multiple sample points
In this paper, we propose a method for robust and realtime estimation of 3D motion. In our method, we use multiple sample points that are on an object before and after moving. Poi...
Akihito Seki, Hiroshi Hattori