Paper Info
Title
3D hand posture estimation with single camera by two-stage searches from database
Abstract
Previous systems for human hand posture estimation have adopted clustered multi-layer large-scale database with narrowing of search space by its past estimation results. But once an estimated result at a time is out of the search space, the system can't find out a true or optimal value. Our system therefore has adopted non-clustered large-scale database including narrowing of search space, rather, a coarse search at the first stage according to some aspects of inputted hand images, and an accurate search at the second stage with low-order image features. The experimental results showed that the averaged estimation error is -2.11 degrees, and the candidates for accurate search at the second stage are reduced from 28, 386 to 137.7 data sets, including our system realizes the stable hand posture estimation with high accuracy and processing speed as previous system without using the past results.
Year
DOI
Venue
2009
10.1145/1667780.1667800
IUCS
Keywords
Field
DocType
coarse search,two-stage search,human hand posture estimation,inputted hand image,stable hand posture estimation,accurate search,single camera,past estimation result,search space,large-scale database,estimation error,previous system,image features
Computer vision,Data set,Computer science,Feature (computer vision),Artificial intelligence,Database
Conference
Citations 
PageRank 
References 
0
0.34
7
Authors
2
Name
Order
Citations
PageRank
Motomasa Tomida163.95
Kiyoshi Hoshino26122.33