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» A new method for camera motion parameter estimation
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DCOSS
2010
Springer
15 years 1 months ago
Approximate Distributed Kalman Filtering for Cooperative Multi-agent Localization
Abstract. We consider the problem of estimating the locations of mobile agents by fusing the measurements of displacements of the agents as well as relative position measurements b...
Prabir Barooah, Wm. Joshua Russell, João P....
ICCV
2011
IEEE
13 years 9 months ago
A Theory of Coprime Blurred Pairs
We present a new Coprime Blurred Pair (CBP) theory that may benefit a number of computer vision applications. A CBP is constructed by blurring the same latent image with two unkn...
Feng Li, Zijia Li, David Saunders, Jingyi Yu
AVSS
2003
IEEE
15 years 1 months ago
Combined Wavelet Domain and Temporal Video Denoising
We develop a new filter which combines spatially adaptive noise filtering in the wavelet domain and temporal filtering in the signal domain. For spatial filtering, we propose a ne...
Aleksandra Pizurica, Vladimir Zlokolica, Wilfried ...
CVPR
2004
IEEE
15 years 11 months ago
Incremental Density Approximation and Kernel-Based Bayesian Filtering for Object Tracking
Statistical density estimation techniques are used in many computer vision applications such as object tracking, background subtraction, motion estimation and segmentation. The pa...
Bohyung Han, Dorin Comaniciu, Ying Zhu, Larry S. D...
HPCA
2003
IEEE
15 years 10 months ago
A Statistically Rigorous Approach for Improving Simulation Methodology
Due to cost, time, and flexibility constraints, simulators are often used to explore the design space when developing a new processor architecture, as well as when evaluating the ...
Joshua J. Yi, David J. Lilja, Douglas M. Hawkins