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Authors: Hyojin Kim 1 ; Quinn Hunter 1 ; Mark Duchaineau 2 ; Kenneth Joy 1 and Nelson Max 1

Affiliations: 1 University of California, United States ; 2 Lawrence Livermore National Laboratory, United States

ISBN: 978-989-8565-04-4

Keyword(s): Multi-view Stereo, 3D Reconstruction, Planar Reconstruction, GPGPU.

Related Ontology Subjects/Areas/Topics: Applications ; Computer Vision, Visualization and Computer Graphics ; Geometry and Modeling ; Image-Based Modeling ; Motion, Tracking and Stereo Vision ; Pattern Recognition ; Software Engineering ; Stereo Vision and Structure from Motion

Abstract: This paper presents a new multi-view stereo approach that reconstructs aerial or outdoor scenes in both a planar and a point representation. One of the key features is to integrate two heterogeneous schemes for planar and non-planar reconstruction, given a color segmentation where each segment is classified as either planar or non-planar. In planar reconstruction, an optimal plane for each segment is chosen among possible plane candidates by comparing the remapped reference segment region with multiple target images in parallel on a GPU. In point reconstruction for non-planar objects, remapped pixel descriptors along an epipolar line pair are efficiently matched on a GPU. Our method also detects and discards incorrect segment planes and outliers that have a large 3D discontinuity with the neighboring segment planes. Several aerial and outdoor scene reconstruction results with quantitative analyses are provided.

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Paper citation in several formats:
Kim, H.; Hunter, Q.; Duchaineau, M.; Joy, K.; Joy, K.; Max, N. and Max, N. (2012). GPU-FRIENDLY MULTI-VIEW STEREO FOR OUTDOOR PLANAR SCENE RECONSTRUCTION.In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2012) ISBN 978-989-8565-04-4, pages 255-264. DOI: 10.5220/0003825502550264

@conference{visapp12,
author={Hyojin Kim. and Quinn Hunter. and Mark Duchaineau. and Kenneth Joy. and Kenneth Joy. and Nelson Max. and Nelson Max.},
title={GPU-FRIENDLY MULTI-VIEW STEREO FOR OUTDOOR PLANAR SCENE RECONSTRUCTION},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2012)},
year={2012},
pages={255-264},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003825502550264},
isbn={978-989-8565-04-4},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2012)
TI - GPU-FRIENDLY MULTI-VIEW STEREO FOR OUTDOOR PLANAR SCENE RECONSTRUCTION
SN - 978-989-8565-04-4
AU - Kim, H.
AU - Hunter, Q.
AU - Duchaineau, M.
AU - Joy, K.
AU - Joy, K.
AU - Max, N.
AU - Max, N.
PY - 2012
SP - 255
EP - 264
DO - 10.5220/0003825502550264

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