By Topic

Stereo 3D reconstruction using prior knowledge of indoor scenes

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
$31 $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

4 Author(s)
Kofuji, K. ; Grad. Sch. of Inf. Sci. & Technol., Univ. of Tokyo, Tokyo, Japan ; Watanabe, Y. ; Komuro, T. ; Ishikawa, M.

We propose a new method of indoor-scene stereo vision that uses probabilistic prior knowledge of indoor scenes in order to exploit the global structure of artificial objects. In our method, we assume three properties of the global structure - planarity, connectivity, and parallelism/orthogonality - and we formulate them in the framework of maximum a posteriori (MAP) estimation. To enable robust estimation, we employ a probability distribution that has both high peaks and wide flat tails. In experiments, we demonstrated that our approach can estimate shapes whose surfaces are not constrained by three orthogonal planes. Furthermore, comparing our results with those of a conventional method that assumes a locally smooth disparity map suggested that the proposed method can estimate more globally consistent shapes.

Published in:

Robotics and Automation (ICRA), 2011 IEEE International Conference on

Date of Conference:

9-13 May 2011