Title :
Matching sets of 3D line segments with application to polygonal arc matching
Author :
Kamgar-Parsi, B. ; Kamgar-Parsi, B.
Author_Institution :
Div. of Inf. Technol., Naval Res. Lab., Washington, DC, USA
fDate :
10/1/1997 12:00:00 AM
Abstract :
In this paper, we consider two sets of corresponding 3D line segments of equal length. We derive a closed-form solution for the coordinate transform (rotation and translation) that gives the best match between the two sets; best in the sense of a least-squares distance measure between the sets. We use these results as the basis to construct efficient algorithms for solving other problems in computer vision. Specifically, we address the problem of matching polygonal arcs, that is, the problem of finding a match between a short arc and a piece of long arc
Keywords :
computer vision; edge detection; image matching; image registration; image segmentation; stereo image processing; transforms; 3D line segments; closed-form solution; computer vision; coordinate transform; curve matching; image registration; polygonal arc matching; segment matching; Closed-form solution; Computer vision; Coordinate measuring machines; Image segmentation; Image sensors; Layout; Noise measurement; Rotation measurement; Sensor systems; Testing;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on