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 proceedingConference contributionAcademicpeer-review

12 Citations (Scopus)
1 Downloads (Pure)


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 languageEnglish
Title of host publicationProceedings of the 10th IEEE consumer communications and networking onference (CCNC), 11-14 January 2013, Las Vegas, Nevada
Place of PublicationPiscataway
PublisherInstitute of Electrical and Electronics Engineers
ISBN (Print)978-1-4673-3131-9
Publication statusPublished - 2013


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