Paper Info
Title
Estimation three-dimensional motion of rigid objects from noisy observations
Abstract
An estimate is made of the motion of a rigid body from two noisy 2-D perspective projections using the least-squares method and the algebra of R.Y. Tsai and T.S. Huang (1984). The accuracy of the estimated motion parameters is influenced by the position of the features of the object used in the calculation. Four test variables are derived that indicate how the accuracy is affected, and they are used for discarding inaccurate estimates. Monte Carlo tests demonstrate the obtained accuracy.
Year
DOI
Venue
1991
10.1109/34.67631
Pattern Analysis and Machine Intelligence, IEEE Transactions  
Keywords
Field
DocType
Monte Carlo methods,computer vision,computerised pattern recognition,computerised picture processing,least squares approximations,Monte Carlo tests,accuracy,estimated motion parameters,inaccurate estimates,least-squares method,noisy 2-D perspective projections,noisy observations,rigid objects,three-dimensional motion
Least squares,Three-dimensional space,Computer vision,Monte Carlo method,Computer science,Rigid body,Bruit,Artificial intelligence,Estimation theory
Journal
Volume
Issue
ISSN
13
1
0162-8828
Citations 
PageRank 
References 
30
4.69
10
Authors
1
Name
Order
Citations
PageRank
Johan Philip1304.69