DocumentCode
3330028
Title
Decoding, Calibration and Rectification for Lenselet-Based Plenoptic Cameras
Author
Dansereau, D.G. ; Pizarro, Oscar ; Williams, Stefan B.
Author_Institution
Australian Centre for Field Robot., Mech. & Mechatron. Eng. Univ. of Sydney, Sydney, NSW, Australia
fYear
2013
fDate
23-28 June 2013
Firstpage
1027
Lastpage
1034
Abstract
Plenoptic cameras are gaining attention for their unique light gathering and post-capture processing capabilities. We describe a decoding, calibration and rectification procedure for lenselet-based plenoptic cameras appropriate for a range of computer vision applications. We derive a novel physically based 4D intrinsic matrix relating each recorded pixel to its corresponding ray in 3D space. We further propose a radial distortion model and a practical objective function based on ray reprojection. Our 15-parameter camera model is of much lower dimensionality than camera array models, and more closely represents the physics of lenselet-based cameras. Results include calibration of a commercially available camera using three calibration grid sizes over five datasets. Typical RMS ray reprojection errors are 0.0628, 0.105 and 0.363 mm for 3.61, 7.22 and 35.1 mm calibration grids, respectively. Rectification examples include calibration targets and real-world imagery.
Keywords
computer vision; image sensors; matrix algebra; 4D intrinsic matrix; calibration procedure; computer vision applications; decoding procedure; lenselet based plenoptic cameras; light gathering; parameter camera model; radial distortion model; recorded pixel; rectification procedure; Arrays; Calibration; Cameras; Decoding; Lenses; Optical distortion; Three-dimensional displays; camera calibration; image rectification; light field; plenoptic;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision and Pattern Recognition (CVPR), 2013 IEEE Conference on
Conference_Location
Portland, OR
ISSN
1063-6919
Type
conf
DOI
10.1109/CVPR.2013.137
Filename
6618981
Link To Document