By Topic

3D Scene Reconstruction System with Hand-Held Stereo Cameras

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
SangUn Yun ; Dept. of Electrical and Electronic Eng., Yonsei University, Seoul, Korea ; Dongbo Min ; Kwanghoon Sohn

3D scene modeling is a challenging problem and has been one of the most important research topic for many years. In this paper, we describe the 3D scene reconstruction system that creates 3D models with multiple stereo image pairs acquired by hand-held device. Our algorithm consists of the following two steps, which is depth reconstruction and model registration. In the first part, we obtain the depth map with stereo matching and camera geometry in each view. The algorithm is based on adaptive window methods in hierarchical frameworks. In the second part, we use SIFT feature to estimate the camera motion. LMedS algorithm reduces the effect of outliers in this process. Experimental results show that the proposed algorithm provides accurate disparity map in various types of images, and the 3D model of real world's scene.

Published in:

2007 3DTV Conference

Date of Conference:

7-9 May 2007