By Topic

Light stripe triangulation for multiple of moving rigid objects

Sign In

Full text access may be available.

To access full text, please use your member or institutional sign in.

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

4 Author(s)

In this paper, we propose an extension of light stripe triangulation for multiple of moving rigid objects. With traditional light stripe triangulation, the acquired shape of moving object would be distorted. If the subject is a rigid object, we can correct the distortion in the acquired shape based on its motion. However, when the subject consists of multiple rigid objects that move differently one another, we need to segment the acquired shape into each object before correcting the distortion. When objects move largely, the segmentation becomes difficult without distortion correction since objects' motion would significantly distort acquired shape. We propose a method for acquiring distortion-free shape of each object by performing segmentation after correcting distortion. When we correct the distortion based on the motion of one of the objects before segmentation, corrected shape would include not only true shape of the object but also false shape of the other objects. We perform segmentation as detecting such false shape by using silhouettes of the whole subject at some moments. We can acquire true shape of each object by eliminating detected false shape from the corrected shape. We validate proposed method and evaluate the accuracy by experiment. We also demonstrate an articulated hand model which acquired by applying proposed method for measuring the real hand under assuming that the hand consists of 18 rigid objects.

Published in:

3-D Digital Imaging and Modeling, 2007. 3DIM '07. Sixth International Conference on

Date of Conference:

21-23 Aug. 2007