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Joint Disparity and Optical Flow by Correspondence Growing

Jan Cech 1 Radu Horaud 1 
1 PERCEPTION - Interpretation and Modelling of Images and Videos
Inria Grenoble - Rhône-Alpes, LJK - Laboratoire Jean Kuntzmann, Grenoble INP - Institut polytechnique de Grenoble - Grenoble Institute of Technology
Abstract : The scene flow in binocular stereo setup is estimated using a seed growing algorithm. A pair of calibrated and synchronized cameras observe a scene and output a sequence of images. The algorithm jointly computes a disparity map between the stereo images and optical flow maps between consecutive frames. Having the calibration, this is a representation of the scene flow, i.e. a 3D velocity vector is associated with each reconstructed 3D point. The proposed algorithm starts from correspondence seeds and propagates the correspondences to the neighborhood. It is accurate for complex scenes with large motion and produces temporally coherent stereo disparity and optical flow results. The algorithm is fast due to inherent search space reduction.
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Submitted on : Thursday, August 11, 2011 - 10:21:34 AM
Last modification on : Saturday, June 25, 2022 - 7:45:23 PM
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Jan Cech, Radu Horaud. Joint Disparity and Optical Flow by Correspondence Growing. ICASSP 2011 - IEEE International Conference on Acoustics, Speech, and Signal Processing, May 2011, Prague, Czech Republic. pp.893-896, ⟨10.1109/ICASSP.2011.5946548⟩. ⟨inria-00614408⟩



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