Dr. Mustapha Kardouchi Profile

Dr. Mustapha Kardouchi

at Univ de Moncton

SPIE Involvement:

Author

Publications (3)

Proceedings Article | 7 May 2003 Paper

Recovering large-amplitude disparity fields using adaptive interpolation

Moustapha Kardouchi, Janusz Konrad

Proceedings Volume 5022, (2003) https://doi.org/10.1117/12.476625

KEYWORDS: Feature extraction, Sensors, Video, Optical flow, Affine motion model, Image processing, 3D displays, Glasses, Machine vision, Computer vision technology

Read Abstract +

Proceedings Article | 29 December 2000 Paper

Estimation of large-amplitude motion and disparity fields: application to intermediate view reconstruction

Moustapha Kardouchi, C. Vazquez, Janusz Konrad

Proceedings Volume 4310, (2000) https://doi.org/10.1117/12.411811

KEYWORDS: Cameras, Motion estimation, Sensors, Optical flow, Image processing, Video, 3D modeling, Image quality, Feature extraction, Corner detection

Read Abstract +

This paper describes a method for establishing dense correspondence between two images in a video sequence (motion) or in a stereo pair (disparity) in case of large displacements. In order to deal with large-amplitude motion or disparity fields, multi-resolution techniques such as blocks matching and optical flow have been used in the past. Although quite successful, these techniques cannot easily cope with motion/disparity discontinuities as they do not explicitly exploit image structure. Additionally, their computational complexity is high; block matching requires examination of numerous vector candidates while optical flow-based techniques are iterative. In this paper, we propose a new approach that addresses both issues. The approach combines feature matching with Delaunay triangulation, and thus reliable long-range correspondences result while the computational complexity is not high (sparse representation). In the proposed approach, feature points are found first using a simple intensity corner detector. Then, correspondence pairs between two images are found by maximizing cross-correlation over a small window. Finally, the Delaunay triangulation is applied to the resulting points, and a dense vector field is computed by planar interpolation over Delaunay triangles. The resulting vector field is continuous everywhere, and thus does not reflect motion or depth discontinuities at object boundaries. In order to improve the rendition of such discontinuities, we propose to further divide Delaunay triangles whenever the displacement vectors within a triangle do not allow good intensity match. The approach has been extensively tested on stereoscopic images in the context of intermediate view reconstruction where the quality of estimated disparity fields is critical for final image rendering. The first results are very encouraging as the reconstructed images are of high quality, especially at object boundaries, and the computational complexity is lower than that of multi- resolution block matching.

Proceedings Article | 19 August 1997 Paper

Motion estimation with Markov random fields by using a direct algorithm

Moustapha Kardouchi, Louis Legrand, Albert Dipanda

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

Read Abstract +

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Keywords/Phrases

Search In:

Publication Years