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ICVS
2009
Springer
15 years 4 months ago
A Fast Joint Bioinspired Algorithm for Optic Flow and Two-Dimensional Disparity Estimation
The faithful detection of the motion and of the distance of the objects in the visual scene is a desirable feature of any artificial vision system designed to operate in unknown e...
Manuela Chessa, Silvio P. Sabatini, Fabio Solari
SCIA
2007
Springer
15 years 3 months ago
Pseudo-real Image Sequence Generator for Optical Flow Computations
Abstract. The availability of ground-truth flow field is crucial for quantitative evaluation of any optical flow computation method. The fidelity of test data is also important...
Vladimír Ulman, Jan Hubený
ICPR
2000
IEEE
15 years 2 months ago
Optic-Flow Information Extraction with Directional Gaussian-Derivatives
This work is intended to give some ideas to extract motion information from an image sequence. A directional energy is defined in terms of the 1-D Hermite transform coefficients o...
J. Luis Silván-Cárdenas, Boris Escal...
APVIS
2003
14 years 11 months ago
The graphical interpretation of plausible tacit knowledge flows
Many organisations make effective use of their codified knowledge, but they often fail to make most efficient use of their tacit knowledge stocks. What we define here as tacit kno...
Peter Busch, Debbie Richards, Christopher N. G. Da...
BMCBI
2010
144views more  BMCBI 2010»
14 years 4 months ago
Optimizing Transformations for Automated, High Throughput Analysis of Flow Cytometry Data
Background: In a high throughput setting, effective flow cytometry data analysis depends heavily on proper data preprocessing. While usual preprocessing steps of quality assessmen...
Greg Finak, Juan-Manuel Perez, Andrew Weng, Raphae...