Registration of multiple RGBD cameras via local rigid transformations

Teng Deng, Jean-Charles Bazin, Tobias Martin, Claudia Kuster, Jianfei Cai, Tiberiu Popa, Markus Gross

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

13 Citations (Scopus)


RGBD cameras, such as the Kinect, have recently revolutionized the field of real-time geometry and appearance acquisition. While impressive 3D reconstruction results have been obtained, combining data acquired by multiple RGBD cameras constitutes a technical challenge. Several methods have been proposed to estimate the internal parameters of each RGBD camera (such as depth mapping function and focal length). Despite that the textured geometry obtained by each RGBD camera individually is visually attractive, even state-of-the-art methods have difficulties in correctly combining the textured geometries obtained by several RGBD cameras via a rigid transformation. Based on this observation, our approach registers the RGBD cameras by a smooth field of rigid transformations, instead of a single rigid transformation. Experimental results on challenging data demonstrate the validity of the proposed approach.

Original languageEnglish
Title of host publication2014 IEEE International Conference on Multimedia and Expo (ICME)
EditorsXuelong Li, Zicheng Liu, Eckehard Steinbach, Chengcui Zhang, Shao-Yi Chien, Dong Xu
Place of PublicationPiscataway NJ USA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Number of pages6
ISBN (Electronic)9781479947614
Publication statusPublished - 2014
Externally publishedYes
EventIEEE International Conference on Multimedia and Expo 2014 - Chengdu, China
Duration: 14 Jul 201418 Jul 2014


ConferenceIEEE International Conference on Multimedia and Expo 2014
Abbreviated titleICME 2014
Internet address


  • RGBD cameras
  • virtual view rendering

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