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» Learning Enhanced 3D Models for Vehicle Tracking
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CVPR
2008
IEEE
15 years 11 months ago
3D occlusion recovery using few cameras
We present a practical framework for detecting and modeling 3D static occlusions for wide-baseline, multi-camera scenarios where the number of cameras is small. The framework cons...
Mark A. Keck, James W. Davis
BMVC
2000
14 years 11 months ago
Quantifying Ambiguities in Inferring Vector-Based 3D Models
This paper presents a framework for directly addressing issues arising from self-occlusions and ambiguities due to the lack of depth information in vector-based representations. V...
Eng-Jon Ong, Shaogang Gong
91
Voted
CORR
2010
Springer
237views Education» more  CORR 2010»
14 years 7 months ago
Featureless 2D-3D Pose Estimation by Minimising an Illumination-Invariant Loss
The problem of identifying the 3D pose of a known object from a given 2D image has important applications in Computer Vision ranging from robotic vision to image analysis. Our pro...
Srimal Jayawardena, Marcus Hutter, Nathan Brewer
ICIP
2007
IEEE
15 years 11 months ago
Local or Global 3D Face and Facial Feature Tracker
We present in this paper a solution for 3D face and facial feature tracking using canonical correlation analysis and a 3D geometric model. This model is controlled with 17 paramet...
Franck Davoine, José Alonso Ybá&ntil...
ACCV
2009
Springer
15 years 4 months ago
3D Reconstruction of Human Motion and Skeleton from Uncalibrated Monocular Video
Abstract. This paper introduces a new model-based approach for simultaneously reconstructing 3D human motion and full-body skeletal size from a small set of 2D image features track...
Yen-Lin Chen, Jinxiang Chai