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Dr. Albert Dipanda
Associate Professor at Univ de Bourgogne
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Author
Publications (5)
SPIE Journal Paper | 1 September 2005
Efficient correspondence problem-solving in 3-D shape reconstruction using a structured light system
Albert Dipanda, Sanghyuk Woo
OE, Vol. 44, Issue 09, 093602, (September 2005) https://doi.org/10.1117/12.10.1117/1.2055102
KEYWORDS: Cameras, Image segmentation, Calibration, Laser sintering, Projection systems, 3D image processing, Optical engineering, Error analysis, Imaging systems, 3D image reconstruction
SPIE Journal Paper | 1 October 2004
Three-dimensional rigid motion estimation using genetic algorithms from an image sequence in an active stereo vision system
Albert Dipanda, Sanghyuk Woo
JEI, Vol. 13, Issue 04, (October 2004) https://doi.org/10.1117/12.10.1117/1.1789985
KEYWORDS: Motion estimation, 3D image processing, 3D modeling, 3D acquisition, 3D image reconstruction, Cameras, Genetic algorithms, Image processing, 3D metrology, Binary data
Proceedings Article | 1 July 2003 Paper
Three-dimensional rigid motion estimation using genetic algorithms from image sequence in an active stereo vision system
Albert Dipanda, Jerome Ajot, Sanghyuk Woo
Proceedings Volume 5016, (2003) https://doi.org/10.1117/12.477361
KEYWORDS: 3D image processing, Motion estimation, 3D modeling, 3D image reconstruction, 3D acquisition, Genetic algorithms, Cameras, 3D metrology, Projection systems, Imaging systems
Proceedings Article | 17 May 1999 Paper
Multiresolution motion estimation with discontinuity preservation using MRF and determination of the regularization hyperparameter
Albert Dipanda, Louis Legrand
Proceedings Volume 3642, (1999) https://doi.org/10.1117/12.348427
KEYWORDS: Motion estimation, Motion models, Optical flow, Magnetorheological finishing, Image processing, Motion analysis, Control systems, Algorithms, Stochastic processes, Integration
Proceedings Article | 19 August 1997 Paper
Motion estimation with Markov random fields by using a direct algorithm
Proceedings Volume 3101, (1997) https://doi.org/10.1117/12.281271
KEYWORDS: Motion estimation, Motion models, Algorithms, Stochastic processes, Image analysis, Lithium, Optical flow, Information operations, Machine vision, Computer vision technology
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