DocumentCode :
2170462
Title :
Efficient dense 3D reconstruction using image pairs
Author :
Ravi, Padmapriya ; Li, Maoqing ; Li, Xin
Author_Institution :
Louisiana State University, Baton Rouge, Louisiana, USA
fYear :
2015
fDate :
22-24 July 2015
Firstpage :
714
Lastpage :
719
Abstract :
This paper presents a dense reconstruction algorithm to obtain a 3D scene with depth information from a pair of images. Accuracy of 3D reconstruction is usually dictated by the correspondence computation between the images. We use Epipolar geometry to improvise the performance of the coarse correspondence matches, and propose to further solve dense correspondence upon these coarse matches through a Epipolar geometry filter and an intensity-based thin plate spline interpolation. We also design systematic evaluation schemes to quantitatively measure the accuracy of this dense 3D reconstruction system.
Keywords :
Cameras; Geometry; Image reconstruction; Interpolation; Matrix decomposition; Splines (mathematics); Three-dimensional displays;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science & Education (ICCSE), 2015 10th International Conference on
Conference_Location :
Cambridge, United Kingdom
Print_ISBN :
978-1-4799-6598-4
Type :
conf
DOI :
10.1109/ICCSE.2015.7250338
Filename :
7250338
Link To Document :
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