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Conference Papers Year : 2014

Covariance Trees for 2D and 3D Processing

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Abstract

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Domains

Computer Science [cs] Image Processing [eess.IV] Computer Science [cs] Computer Vision and Pattern Recognition [cs.CV] Computer Science [cs] Machine Learning [cs.LG] Computer Science [cs] Graphics [cs.GR] Computer Science [cs] Modeling and Simulation Computer Science [cs] Signal and Image Processing Computer Science [cs] Information Retrieval [cs.IR] Statistics [stat] Applications [stat.AP]

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Submitted on : Monday, February 16, 2015-2:05:14 PM

Last modification on : Friday, July 31, 2020-10:44:08 AM

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Dates and versions

hal-01117099 , version 1 (16-02-2015)
hal-01117099 , version 2 (24-01-2017)

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  • HAL Id : hal-01117099 , version 1

Cite

Thierry Guillemot, Andrès Almansa, Tamy Boubekeur. Covariance Trees for 2D and 3D Processing. The Twenty-Seventh IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Jul 2014, Colombus, United States. pp.556-563. ⟨hal-01117099v1⟩

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