By Topic

Efficient Synthesis of Arbitrary Viewpoint Images Using 3-D Geometric Model and Mesh-Based Specular Reflection Tracing

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

5 Author(s)
Kenichiro Nishitani ; Department of Electrical and Electronics Engineering, Faculty of Science and Technology, Sophia University, Kioi-cho 7-1, Chiyoda-ku, Tokyo, 102-8554, Japan ; Gota Sugimura ; Hirokazu Kobayashi ; Koichi Fukuda
more authors

A novel image synthesis method of an object at arbitrary viewpoint by using the 3-D geometric model and several camera images is proposed. Although the image-based rendering synthesizes the relatively accurate diffuse reflection component from the camera images from different viewpoints, it can not synthesize the specular reflection component with sufficient accuracy as the movement of the specular reflection component as the changes in viewpoints are not taken into consideration. In order to overcome this problem, we propose a method for synthesizing the arbitrary viewpoint images with the use of the displacement vectors of the specular reflection components. The displacement vectors are estimated by a hexagonal matching algorithm based on the triangle mesh model which was modified for arbitrary shaped images. In the hexagonal matching, the images synthesized from 3-D geometric model of a real object and camera images are used as reference image. The experiments show that the proposed method reconstructs the specular reflection components more accurately and also improves the coding performance compared to the conventional methods.

Published in:

2007 IEEE International Symposium on Signal Processing and Information Technology

Date of Conference:

15-18 Dec. 2007