Results 251 to 260 of about 341,318 (278)

Multiple Combined Constraints for Optical Flow Estimation

2007
Several approaches to optical flow estimation use differential methods to model changes in image brightness over time. In computer vision it is often desirable to over constrain the problem to more precisely determine the solution and enforce robustness.
Fahad, Ahmed, Morris, Tim
openaire   +2 more sources

Rate-distortion optimized optical flow estimation

2015 IEEE International Conference on Image Processing (ICIP), 2015
We propose a general framework for rate-distortion optimized estimation of optical flow, taking heed of the optimality conditions when both the residue and the motion coefficients are quantized and coded. The framework is particularly well suited for wavelet estimation of motion, where the estimated coefficients can additionally be coded in a scalable ...
Sean I. Young, David Taubman
openaire   +1 more source

Stochastic Models for Local Optical Flow Estimation

2012
In this paper, we present a stochastic interpretation of the motion estimation problem. The usual optical flow constraint equation (assuming that the points keep their brightness along time), embed for instance within a Lucas-Kanade estimator, can indeed be seen as the minimization of a stochastic process under some strong constraints.
Corpetti, Thomas, Mémin, Etienne
openaire   +1 more source

Optical Flow Estimation Using Diffusion Distances

2010 20th International Conference on Pattern Recognition, 2010
In this paper we apply the diffusion framework to dense optical flow estimation. Local image information is represented by matrices of gradients between paired locations. Diffusion distances are modelled as sums of eigenvectors weighted by their eigenvalues extracted following the eigen decomposion of these matrices.
Szymon Wartak, Adrian G. Bors
openaire   +1 more source

A genetic algorithm for optical flow estimation

Image and Vision Computing, 2007
This paper illustrates a new optical flow estimation technique that builds upon a genetic algorithm (GA). First, the current frame is segmented into generic shape regions, using only luminance and color information. For each region, a two-parameter motion model is estimated using a GA. The fittest individuals identified at the end of this step are used
openaire   +2 more sources

Imaging flow cytometry

Nature Reviews Methods Primers, 2022
Paul Rees, Huw D Summers, Anne E Carpenter   +2 more
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Porous Flow Field for Next-Generation Proton Exchange Membrane Fuel Cells: Materials, Characterization, Design, and Challenges

Chemical Reviews, 2023
Guobin Zhang, Zhiguo Qu, Wen-Quan Tao
exaly  

Polymer Electrolyte Membranes for Vanadium Redox Flow Batteries: Fundamentals and Applications

Progress in Energy and Combustion Science, 2021
Xingyi Shi, Oladapo Christopher Esan, Zhefei Pan   +2 more
exaly  

Material design and engineering of next-generation flow-battery technologies

Nature Reviews Materials, 2016
Minjoon Park, Jaechan Ryu, Wei Wang
exaly  

Computational flow cytometry: helping to make sense of high-dimensional immunology data

Nature Reviews Immunology, 2016
Yvan Saeys, Sofie Van Gassen, Bart N Lambrecht   +2 more
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