Reconstruction of dense three-dimensional shapes for outdoor scenes from an image sequence

Jinlong Shi; Danping Zou; Suqin Bai; Qiang Qian; Linbin Pang

doi:10.1117/1.OE.52.12.123104

17 December 2013 Reconstruction of dense three-dimensional shapes for outdoor scenes from an image sequence

Jinlong Shi, Danping Zou, Suqin Bai, Qiang Qian, Linbin Pang

Author Affiliations +

Optical Engineering, Vol. 52, Issue 12, 123104 (December 2013). https://doi.org/10.1117/1.OE.52.12.123104

Abstract

This paper presents a three-dimensional (3-D) reconstruction method of outdoor scenes from an image sequence captured by a moving handheld video camera. The proposed method works in a coarse-to-fine manner and can be divided into three steps: First, an initial 3-D shape is reconstructed according to the image correspondences obtained by optic flow tracking. Second, an initial depth map is generated according to the initial 3-D shape. Finally, a global energy function for refining the initial depth is used to acquire better results. Experimental results are demonstrated for a variety of complex scenes.

Citation Download Citation

Jinlong Shi, Danping Zou, Suqin Bai, Qiang Qian, and Linbin Pang "Reconstruction of dense three-dimensional shapes for outdoor scenes from an image sequence," Optical Engineering 52(12), 123104 (17 December 2013). https://doi.org/10.1117/1.OE.52.12.123104

Published: 17 December 2013

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