By Topic

3D model registration using CSIFT and POSIT

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

2 Author(s)
Qiuchuan Qin ; Coll. of Inf., Tsinghua Univ., Beijing, China ; Huaping Liu

This paper describes a novel 3D model registration framework based on Canny edges, CSIFT key points, and Posit algorithm. First, we extract the Canny edges of the 3D model frame and camera frame, further handled by the Fast Fourier Transform, eliminating the impact of the pose differences. Then we use the particle filter to get the optimal position. Then we extract the CSIFT points using color invariant image instead of the gray image, retaining the color invariance and geometric invariance. K-d tree and Ransac algorithms are used to match the key points, which are used by POSIT algorithm to adjust model pose. Finally, we use a cup with different appearance to test the algorithm. The evaluation results support the potential of the proposed approach.

Published in:

Electrical & Electronics Engineering (EEESYM), 2012 IEEE Symposium on

Date of Conference:

24-27 June 2012