On photo-realistic 3d reconstruction of large-scale and arbitrary-shaped environments

E. Bondarev; Francisco Heredia; R.J.J. Favier; L. Ma; P.H.N. With, de

doi:10.1109/CCNC.2013.6488511

On photo-realistic 3d reconstruction of large-scale and arbitrary-shaped environments

E. Bondarev, Francisco Heredia, R.J.J. Favier, L. Ma, P.H.N. With, de

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

12 Citations (Scopus)

1 Downloads (Pure)

Abstract

This paper presents a system architecture for reconstructing photorealistic and accurate 3D models of indoor environments. The system specifically targets large-scale and arbitrary-shaped environments and enables processing of data obtained with an arbitrary-chosen capturing path. The system extends the baseline Kinect Fusion algorithm with a buffering algorithm to remove scene-size capturing limitations. Beside this, the paper presents the complete chain of advanced algorithms for point cloud segmentation/decimation, camera pose correction and texture mapping with post-processing filters. The presented architecture features memory- and processor-efficient processing, such that it can be executed on a conventional PC with a mainstream GPU card at the consumer premises.

Original language	English
Title of host publication	Proceedings of the 10th IEEE consumer communications and networking onference (CCNC), 11-14 January 2013, Las Vegas, Nevada
Place of Publication	Piscataway
Publisher	Institute of Electrical and Electronics Engineers
Pages	621-624
ISBN (Print)	978-1-4673-3131-9
DOIs	https://doi.org/10.1109/CCNC.2013.6488511
Publication status	Published - 2013

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Bondarev, E., Heredia, F., Favier, R. J. J., Ma, L., & With, de, P. H. N. (2013). On photo-realistic 3d reconstruction of large-scale and arbitrary-shaped environments. In Proceedings of the 10th IEEE consumer communications and networking onference (CCNC), 11-14 January 2013, Las Vegas, Nevada (pp. 621-624). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/CCNC.2013.6488511

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abstract = "This paper presents a system architecture for reconstructing photorealistic and accurate 3D models of indoor environments. The system specifically targets large-scale and arbitrary-shaped environments and enables processing of data obtained with an arbitrary-chosen capturing path. The system extends the baseline Kinect Fusion algorithm with a buffering algorithm to remove scene-size capturing limitations. Beside this, the paper presents the complete chain of advanced algorithms for point cloud segmentation/decimation, camera pose correction and texture mapping with post-processing filters. The presented architecture features memory- and processor-efficient processing, such that it can be executed on a conventional PC with a mainstream GPU card at the consumer premises.",

author = "E. Bondarev and Francisco Heredia and R.J.J. Favier and L. Ma and {With, de}, P.H.N.",

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doi = "10.1109/CCNC.2013.6488511",

language = "English",

isbn = "978-1-4673-3131-9",

pages = "621--624",

booktitle = "Proceedings of the 10th IEEE consumer communications and networking onference (CCNC), 11-14 January 2013, Las Vegas, Nevada",

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Bondarev, E, Heredia, F, Favier, RJJ, Ma, L & With, de, PHN 2013, On photo-realistic 3d reconstruction of large-scale and arbitrary-shaped environments. in Proceedings of the 10th IEEE consumer communications and networking onference (CCNC), 11-14 January 2013, Las Vegas, Nevada. Institute of Electrical and Electronics Engineers, Piscataway, pp. 621-624. https://doi.org/10.1109/CCNC.2013.6488511

On photo-realistic 3d reconstruction of large-scale and arbitrary-shaped environments. / Bondarev, E.; Heredia, Francisco; Favier, R.J.J. et al.
Proceedings of the 10th IEEE consumer communications and networking onference (CCNC), 11-14 January 2013, Las Vegas, Nevada. Piscataway: Institute of Electrical and Electronics Engineers, 2013. p. 621-624.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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AB - This paper presents a system architecture for reconstructing photorealistic and accurate 3D models of indoor environments. The system specifically targets large-scale and arbitrary-shaped environments and enables processing of data obtained with an arbitrary-chosen capturing path. The system extends the baseline Kinect Fusion algorithm with a buffering algorithm to remove scene-size capturing limitations. Beside this, the paper presents the complete chain of advanced algorithms for point cloud segmentation/decimation, camera pose correction and texture mapping with post-processing filters. The presented architecture features memory- and processor-efficient processing, such that it can be executed on a conventional PC with a mainstream GPU card at the consumer premises.

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BT - Proceedings of the 10th IEEE consumer communications and networking onference (CCNC), 11-14 January 2013, Las Vegas, Nevada

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Bondarev E, Heredia F, Favier RJJ, Ma L, With, de PHN. On photo-realistic 3d reconstruction of large-scale and arbitrary-shaped environments. In Proceedings of the 10th IEEE consumer communications and networking onference (CCNC), 11-14 January 2013, Las Vegas, Nevada. Piscataway: Institute of Electrical and Electronics Engineers. 2013. p. 621-624 doi: 10.1109/CCNC.2013.6488511

On photo-realistic 3d reconstruction of large-scale and arbitrary-shaped environments

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