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9.3: The Use of an Imaging Sphere for High‐Throughput Measurements of Display Performance — Technical Challenges and Mathematical Solutions
Author(s) -
Rykowski Ron,
Kreysar Doug,
Wadman Sipke
Publication year - 2006
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 - 10.1889/1.2433146
Subject(s) - metrology , brightness , throughput , computer science , parametric statistics , computer graphics (images) , integrating sphere , data acquisition , function (biology) , raw data , artificial intelligence , computer vision , optics , computer hardware , mathematics , physics , statistics , telecommunications , biology , operating system , programming language , evolutionary biology , wireless
For display metrology, two of the most important parameters are brightness and color as a function of angle. Here we describe a new technique based on an imaging sphere, featuring optomechanical simplicity and high data acquisition rates, compared to traditional techniques. We also show how raw data is converted into parametric information, illustrated with real test data.