DocumentCode :
3118441
Title :
Depth Mapping Using the Hierarchical Reconstruction of Multiple Sequence
Author :
Lirong Wang ; Lei Yang
Author_Institution :
Dept. of Electron. & Inf. Eng., Changchun Univ., Changchun, China
fYear :
2013
fDate :
11-13 Dec. 2013
Firstpage :
485
Lastpage :
489
Abstract :
One method was proposed for recovering structure model of the object by using monocular vision equipment. The fundamental idea can be summed up as sequential reconstruction under hierarchical method. First of all, by dividing the single observation path into multiple, more details of structure can be observed. After outliers removing, these sequences can be aligned with the referenced one which can be specified by users. Finally, after surface fitting, depth map of the object can be densely retrieved. The experiment shows that the depth map can be retrieved much densely than traditional method from the same dataset.
Keywords :
image reconstruction; image sequences; surface fitting; depth mapping; hierarchical method; hierarchical reconstruction; monocular vision equipment; multiple sequence; outliers removing; sequential reconstruction; single observation path; surface fitting; Cameras; Conferences; Geometry; Image reconstruction; Reconstruction algorithms; Solid modeling; Surface reconstruction; depth mapping; monocular vision; outliers removing; sequences alignment;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mobile Ad-hoc and Sensor Networks (MSN), 2013 IEEE Ninth International Conference on
Conference_Location :
Dalian
Print_ISBN :
978-0-7695-5159-3
Type :
conf
DOI :
10.1109/MSN.2013.84
Filename :
6726381
Link To Document :
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