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Automatic Online Walls Detection for Immediate Use in AR Tasks

Gilles Simon 1
1 MAGRIT - Visual Augmentation of Complex Environments
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : This paper proposes a method to automatically detect and reconstruct planar surfaces for immediate use in AR tasks. Traditional methods for plane detection are typically based on the comparison of transfer errors of a homography, which make them sensitive to the choice of a discrimination threshold. We propose a very different approach: the image is divided into a grid and rectangles that belong to the same planar surface are clustered around the local maxima of a hough transform. As a result, we simultaneously get clusters of coplanar rectangles and the image of their intersection line with a reference plane, which easily leads to their 3D position and orientation. Results are shown on both synthetic and real data.
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Contributor : Gilles Simon <>
Submitted on : Friday, October 6, 2006 - 11:59:26 AM
Last modification on : Friday, February 26, 2021 - 3:28:08 PM
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  • HAL Id : inria-00104325, version 1



Gilles Simon. Automatic Online Walls Detection for Immediate Use in AR Tasks. 5th IEEE and ACM International Symposium on Mixed and Augmented Reality - ISMAR'06, Oct 2006, University of California at Santa Barbara, United States. ⟨inria-00104325⟩



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