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» Using Optical Flow for Tracking
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ECCV
2000
Springer
14 years 10 months ago
Hand-Eye Calibration from Image Derivatives
In this paper it is shown how to perform hand-eye calibration using only the normal flow field and knowledge about the motion of the hand. The proposed method comprise a simple way...
Henrik Malm, Anders Heyden
PR
2007
143views more  PR 2007»
13 years 8 months ago
Shadow resistant tracking using inertia constraints
In this paper, we present a new method for tracking objects with shadows. Traditional motion-based tracking schemes cannot usually distinguish the shadow from the object itself, a...
Hao Jiang, Mark S. Drew
SC
2000
ACM
14 years 9 days ago
High Performance Reactive Fluid Flow Simulations Using Adaptive Mesh Refinement on Thousands of Processors
We present simulations and performance results of nuclear burning fronts in supernovae on the largest domain and at the finest spatial resolution studied to date. These simulation...
A. C. Calder, Bruce C. Curtis, L. J. Dursi, Bruce ...
EUROSYS
2007
ACM
14 years 18 days ago
Whodunit: transactional profiling for multi-tier applications
This paper is concerned with performance debugging of multitier applications, such as commonly found in servers and dynamic-content web sites. Existing tools and techniques for pr...
Anupam Chanda, Alan L. Cox, Willy Zwaenepoel
ISVC
2007
Springer
14 years 2 months ago
Gradient-Based Hand Tracking Using Silhouette Data
Optical motion capture can be classified as an inference problem: given the data produced by a set of cameras, the aim is to extract the hidden state, which in this case encodes t...
Paris Kaimakis, Joan Lasenby