A depth-incorporated 2D descriptor for robust and efficient 3D environment reconstruction

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

We develop a system to reconstruct the indoor 3D environment from a sequence of range images. The range images from different partial views of the environment are taken from a range camera while it is moving. The efficiency and accuracy of the 3D reconstruction heavily rely on the partial matching between two range images. We propose a depth-incorporated SURF keypoints and descriptors to stitch two adjacent range image frames. Finally, the stitched reconstruction result is globally optimized through a graph optimization. This effectively reduce the inevitable accumulated error introduced during the pairwise stitching procedure.

Original languageEnglish
Title of host publication10th International Conference on Computer Science and Education, ICCSE 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages691-696
Number of pages6
ISBN (Electronic)9781479965984
DOIs
StatePublished - 9 Sep 2015
Event10th International Conference on Computer Science and Education, ICCSE 2015 - Cambridge, United Kingdom
Duration: 22 Jul 201524 Jul 2015

Publication series

Name10th International Conference on Computer Science and Education, ICCSE 2015

Conference

Conference10th International Conference on Computer Science and Education, ICCSE 2015
Country/TerritoryUnited Kingdom
CityCambridge
Period22/07/1524/07/15

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