Title :
The precision of 3-D parameters in correspondence-based techniques: the case of uniform translational motion in a rigid environment
Author_Institution :
Dept. of Comput. & Inf. Sci., Massachusetts Univ., Amherst, MA, USA
fDate :
5/1/1989 12:00:00 AM
Abstract :
A general method of calculating the precision of environmental parameters which differs from conventional methods by finding analytical results, and which does so using only information in the image is discussed. This method called uncertainty-analysis, is applied to the case of first-order-error-based motion algorithms for determining environmental depth by matching corresponding points between two or more frames of a dynamic image sequence. How to calculate the uncertainty of in predicted values for the depth is shown, as well as how to calculate the search region for further instances of the point in subsequent frames, based only on information present in the image. The analysis is applied to a real image sequence with good results
Keywords :
pattern recognition; picture processing; 3D parameters precision; correspondence-based techniques; first-order-error-based motion algorithms; pattern recognition; picture processing; rigid environment; search region; uncertainty-analysis; uniform translational motion; Additive noise; Computer aided software engineering; Error analysis; Image analysis; Image motion analysis; Image sequence analysis; Image sequences; Motion analysis; Taylor series; Uncertainty;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on