Title :
An Approach for 3D Reconstruction from Uncalibrated Images
Author :
Lingli Zhao ; Shuai Liu ; Li, Junsheng ; Xu, Haicheng ; Shuai Liu ; Lingli Zhao
Author_Institution :
Sch. of Eng., Honghe Univ., Mengzi, China
Abstract :
Three-dimensional (3D) reconstruction considering of image sequences is an unresolved and active research topic on the cross-section of computer vision and digital photogrammetry. In this paper, we focus on 3D object shape reconstruction from uncalibrated images and put forward a rapid algorithm to recover the object height. The recovering 3D shape comprises two steps, for the one hand, calculate homography transformation to obtain the outlines, for the other hand calculate the reconstructed object height by reference height proposed by the paper, and then recover the 3D object shape. This method requires no camera calibration or the estimation of the fundamental matrix; hence, it reduces the computational complexity by eliminating the requirement for abundant conjugate points. The experiment shows that the method is much validated and something useful is obtained.
Keywords :
computer vision; image reconstruction; image sequences; photogrammetry; 3D object shape reconstruction; 3D reconstruction; abundant conjugate points; camera calibration; computational complexity; computer vision cross-section; digital photogrammetry; fundamental matrix; homography transformation; reference height; uncalibrated image sequence; Calibration; Cameras; Computational complexity; Computer vision; Geometry; Image reconstruction; Image sequences; Pixel; Shape; Transmission line matrix methods; 3D Reconstruction; Computer Vision; Photogrammetry; Silhouette;
Conference_Titel :
Challenges in Environmental Science and Computer Engineering (CESCE), 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-3972-0
Electronic_ISBN :
978-1-4244-5924-7
DOI :
10.1109/CESCE.2010.128