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Motion occlusions for automatic generation of relative depth maps

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Oudni, Louiza, Vazquez, Carlos et Coulombe, Stéphane. 2018. « Motion occlusions for automatic generation of relative depth maps ». In 2018 25th IEEE International Conference on Image Processing (ICIP) (Athens, Greece, Oct 7-10, 2018) pp. 1538-1542. Piscataway, NJ, USA : IEEE.

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Abstract

Recovering of the depth structure of a scene from monocular video content provides an important advantage in applications such as AR (placing and removing of objects) or 3D-TV and 3D cinema (2D-to-3D video conversion). In this paper, we present an automatic method to generate relative depth maps from monocular video sequences. It relies on the dynamic occlusion depth cue to recover the depth order of objects in the scene. The forward and backward motion analysis between each two consecutive frames allows the calculation of their dynamic occlusions. We estimate the motion using a modified version of the EpicFlow. Our modifications to this optical flow method made it coherent in forward-backward directions without compromising its performance. Thanks to this new feature, occlusions are simpler to calculate than the approaches used in the relevant literature. The obtained occlusions allow order deduction of the objects contained in the image. These objects are obtained using a segmentation approach which considers both color and motion. Ours results show a small improvement to the quality of the optical flow while adding the forward/backward coherence. With respect to the depth ordering our approach obtains slightly better results than the reference method while removing a computationally costly step from the processing.

Item Type: Conference proceeding
Professor:
Professor
Vázquez, Carlos
Coulombe, Stéphane
Affiliation: Génie logiciel et des technologies de l'information, Génie logiciel et des technologies de l'information
Date Deposited: 22 Jan 2019 15:14
Last Modified: 17 Jan 2020 21:06
URI: https://espace2.etsmtl.ca/id/eprint/17988

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