Computer vision-based approach for rite decryption in old societies

Abstract : This paper presents an approach to determine the spatial arrangement of bones of horses in an excavation site and perform the 3D reconstruction of the scene. The relative 3D positioning of the bones was computed exploiting the information in images acquired at different levels, and used to relocate provided 3D models of the bones. A novel semi-supervised approach was proposed to generate dense point clouds of the bones from sparse features. The point clouds were later matched with the given models using Iterative Closest Point (ICP).
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Conference papers
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Contributor : Cédric Demonceaux <>
Submitted on : Saturday, October 3, 2015 - 11:41:42 AM
Last modification on : Saturday, October 27, 2018 - 1:26:46 AM


  • HAL Id : hal-01211127, version 1


Jilliam María Diaz Barros, Cédric Demonceaux, Adlane Habed, Alamin Mansouri. Computer vision-based approach for rite decryption in old societies. Machine Vision Applications (MVA), 2015 14th IAPR International Conference on, May 2015, Tokyo, Japan. 2015. 〈hal-01211127〉



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