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» Model Based Tracking on 3D Objects
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ICCV
2007
IEEE
14 years 10 months ago
The Best of Both Worlds: Combining 3D Deformable Models with Active Shape Models
Reliable 3D tracking is still a difficult task. Most parametrized 3D deformable models rely on the accurate extraction of image features for updating their parameters, and are pro...
Christian Vogler, Zhiguo Li, Atul Kanaujia, Siome ...
DAGM
2009
Springer
14 years 2 months ago
Markerless 3D Face Tracking
We present a novel algorithm for the markerless tracking of deforming surfaces such as faces. We acquire a sequence of 3D scans along with color images at 40Hz. The data is then re...
Christian Walder, Martin Breidt, Heinrich H. B&uum...
ICDM
2006
IEEE
138views Data Mining» more  ICDM 2006»
14 years 2 months ago
Belief Propagation in Large, Highly Connected Graphs for 3D Part-Based Object Recognition
We describe a part-based object-recognition framework, specialized to mining complex 3D objects from detailed 3D images. Objects are modeled as a collection of parts together with...
Frank DiMaio, Jude W. Shavlik
ICRA
2007
IEEE
225views Robotics» more  ICRA 2007»
14 years 2 months ago
Accurate Quadrifocal Tracking for Robust 3D Visual Odometry
— This paper describes a new image-based approach to tracking the 6dof trajectory of a stereo camera pair using a corresponding reference image pairs instead of explicit 3D featu...
Andrew I. Comport, Ezio Malis, Patrick Rives
ICPR
2002
IEEE
14 years 9 months ago
A Bayesian Approach to Video Object Segmentation via Merging 3D Watershed Volumes
In this paper, we propose a Bayesian approach to video object segmentation. Our method consists of two stages. In the first stage, we partition the video data into a set of 3D wate...
Yi-Ping Hung, Yu-Pao Tsai, Chih-Chuan Lai