Title
Light stripe triangulation for multiple of moving rigid objects
Abstract
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.
Year
DOI
Venue
2007
10.1109/3DIM.2007.32
3DIM
Keywords
Field
DocType
image motion analysis,image segmentation,articulated hand model,correcting distortion,distortion-free shape,light stripe triangulation,moving rigid objects,segmentation
Computer vision,Active shape model,Distortion correction,Computer science,Segmentation,Image segmentation,Triangulation (social science),Artificial intelligence,Distortion,Multiple
Conference
ISBN
Citations 
PageRank 
0-7695-2939-4
0
0.34
References 
Authors
11
4
Name
Order
Citations
PageRank
Takuya Funatomi17424.62
Masaaki Iiyama21714.23
Koh Kakusho38320.96
Michihiko Minoh434958.69