Reconstruction of dense three-dimensional shapes for outdoor scenes from an image sequence
Jinlong Shi, Danping Zou, Suqin Bai, Qiang Qian, Linbin Pang · Optical Engineering · 2013
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.