DocumentCode :
1798760
Title :
Registration of multiple RGBD cameras via local rigid transformations
Author :
Teng Deng ; Bazin, Jean-Charles ; Martin, T. ; Kuster, Claudia ; Jianfei Cai ; Popa, Tiberiu ; Gross, Markus
Author_Institution :
Sch. of Comput. Eng., Nanyang Technol. Univ., Singapore, Singapore
fYear :
2014
fDate :
14-18 July 2014
Firstpage :
1
Lastpage :
6
Abstract :
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.
Keywords :
cameras; computational geometry; image reconstruction; image registration; image texture; 3D reconstruction; Microsoft Kinect device; appearance acquisition; depth mapping function; focal length; internal parameters; local rigid transformations; multiple RGBD camera registration; real-time geometry; smooth field; textured geometry; Calibration; Cameras; Geometrical optics; Geometry; Image color analysis; Integrated optics; Three-dimensional displays; RGBD cameras; virtual view rendering;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia and Expo (ICME), 2014 IEEE International Conference on
Conference_Location :
Chengdu
Type :
conf
DOI :
10.1109/ICME.2014.6890122
Filename :
6890122
Link To Document :
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