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» 3D Tracking = Classification Interpolation
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ICCV
2003
IEEE
14 years 6 months ago
3D Tracking = Classification + Interpolation
Hand gestures are examples of fast and complex motions. Computers fail to track these in fast video, but sleight of hand fools humans as well: what happens too quickly we just can...
Carlo Tomasi, Slav Petrov, Arvind Sastry
CVPR
2004
IEEE
14 years 6 months ago
3D Head Tracking Based on Recognition and Interpolation Using a Time-of-Flight Depth Sensor
This paper describes a head-tracking algorithm that is based on recognition and correlation-based weighted interpolation. The input is a sequence of 3D depth images generated by a...
Carlo Tomasi, Salih Burak Göktürk
ISBI
2006
IEEE
13 years 10 months ago
Comparing optical-flow based methods for quantification of myocardial deformations on RT3D ultrasound
Quantitative analysis of cardiac motion is of great clinical interest in assessing ventricular function. Real-time 3-D (RT3D) ultrasound transducers provide valuable threedimensio...
Qi Duan, Elsa D. Angelini, Olivier Gérard, ...
FGR
2000
IEEE
230views Biometrics» more  FGR 2000»
13 years 9 months ago
A Robust Model-Based Approach for 3D Head Tracking in Video Sequences
We present a generic and robust method for model-based global 3D head pose estimation in monocular and non-calibrated video sequences. The proposed method relies on a 3D/2D matchi...
Marius Malciu, Françoise J. Prêteux
ICIP
2004
IEEE
14 years 6 months ago
A general framework for 3d soccer ball estimation and tracking
A general framework for automatic 3D soccer ball estimation and tracking from multiple image sequences is proposed. Firstly, the ball trajectory is modelled as planarcurves in con...
Jinchang Ren, James Orwell, Graeme A. Jones, Ming ...