GPU-FRIENDLY MULTI-VIEW STEREO FOR OUTDOOR PLANAR SCENE RECONSTRUCTION

Hyojin Kim, Quinn Hunter, Mark Duchaineau, Kenneth Joy, Nelson Max

2012

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.

Paper Citation

in Harvard Style

Kim H., Hunter Q., Duchaineau M., Joy K. 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

in Bibtex Style

@conference{visapp12,
author={Hyojin Kim and Quinn Hunter and Mark Duchaineau and Kenneth Joy 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},
}

in EndNote Style

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 - Max N.
PY - 2012
SP - 255
EP - 264
DO - 10.5220/0003825502550264