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35.1: Distinguished Paper : Auto‐Calibration for Screen Correction and Point Cloud Generation
Author(s) -
Deglint Jason,
Cameron Andrew,
Scharfenberger Christian,
Lamm Mark,
Wong Alexander,
Clausi David
Publication year - 2015
Publication title -
sid symposium digest of technical papers
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.351
H-Index - 44
eISSN - 2168-0159
pISSN - 0097-966X
DOI - 10.1002/sdtp.10446
Subject(s) - projector , calibration , computer science , point cloud , structured light , computer vision , computer graphics (images) , projection (relational algebra) , artificial intelligence , camera resectioning , checkerboard , bundle adjustment , point (geometry) , algorithm , mathematics , image (mathematics) , geometry , statistics
Showing a checkerboard at different poses for camera projector calibration is impractical for large scale applications such as projection mapping onto buildings. We use an automatic calibration technique that projects Gray code structured light patterns, which, extracted by the camera, build a dense correspondence for calibration. Two applications benefit from automatic calibration: 3D model generation and screen correction.