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» Robust Statistics for 3D Object Tracking
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FGR
2006
IEEE
122views Biometrics» more  FGR 2006»
14 years 1 months ago
Head and Facial Action Tracking: Comparison of Two Robust Approaches
In this work, we address a method that is able to track simultaneously 3D head movements and facial actions like lip and eyebrow movements in a video sequence. In a baseline frame...
Romain Hérault, Franck Davoine, Yves Grandv...
VMV
2001
248views Visualization» more  VMV 2001»
13 years 9 months ago
Using an Extended Hough Transform Combined with a Kalman Filter to Segment Tubular Structures in 3D Medical Images
We present a new approach for the coarse segmentation of tubular structures in 3D image data. Our algorithm, which requires only few initial values and minimal user interaction, c...
Thorsten Behrens, Karl Rohr, H. Siegfried Stiehl
ICCV
2007
IEEE
14 years 9 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 ...
CVPR
1999
IEEE
14 years 9 months ago
Shadow Gestures: 3D Hand Pose Estimation Using a Single Camera
This paper describes a system that uses a camera and a point light source to track a user's hand in three dimensions. Using depth cues obtained from projections of the hand a...
Jakub Segen, Senthil Kumar
TROB
2008
169views more  TROB 2008»
13 years 7 months ago
Visual Servoing Based on Structure From Controlled Motion or on Robust Statistics
Abstract--This paper focuses on the way to achieve accurate visual servoing tasks when the shape of the object being observed as well as the desired image are unknown. More precise...
Christophe Collewet, François Chaumette