Paper Info
Title
Real Time Search for Similar Hand Images from Database for Robotic Hand Control
Abstract
The authors propose a system for searching the shape of human hands and fingers in real time and with high accuracy, without using any special peripheral equipment such as range sensor, PC cluster, etc., by a method of retrieving similar image quickly with high accuracy from a large volume of image database containing the complicated shapes and self-occlusions. In designing the system, we constructed a database in a way to be adaptable even to differences among individuals, and searched CG images of hand similar to unknown hand image, through extraction of characteristics using high-order local autocorrelational patterns, reduction of the amount of characteristics centering on principal component analysis, and prior rearrangement of data corresponding to the amount of characteristics. As a result of experiments, our system performed high-accuracy estimation of human hand shape where mean error was 7 degrees in finger joint angles, with the processing speed of 30 fps or over.
Year
DOI
Venue
2005
10.1093/ietfec/e88-a.10.2514
IEICE Transactions
Keywords
DocType
Volume
similar image,unknown hand image,finger joint angle,image database,cg image,similar hand images,human hand,robotic hand control,pc cluster,complicated shape,human hand shape,real time search,high accuracy,sensors,image retrieval,robots,real time,principal component analysis
Journal
E88-A
Issue
ISSN
Citations 
10
1745-1337
6
PageRank 
References 
Authors
1.04
0
2
Name
Order
Citations
PageRank
Kiyoshi Hoshino16122.33
Takanobu Tanimoto2234.64