2006
DOI: 10.1117/12.643655
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End-user display calibration via support vector regression

Abstract: Hewlett-Packard {funt, wxiong }@sfu.ca, Simon Fraser University Primary Contact: Behnam Bastani, behnam.bastani@hp.com ABSTRACTThe technique of support vector regression (SVR) is applied to the color display calibration problem. Given a set of training data, SVR estimates a continuous-valued function encoding the fundamental interrelation between a given input and its corresponding output. This mapping can then be used to find an output value for a given input value not in the training data set. Here, SVR is a… Show more

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(1 citation statement)
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“…We use the DLP data from Ref. [4], for which there are 2273 pairs. We carried out a leave-one-out test similar to that for the camera calibration tests.…”
Section: Display Calibrationmentioning
confidence: 99%
“…We use the DLP data from Ref. [4], for which there are 2273 pairs. We carried out a leave-one-out test similar to that for the camera calibration tests.…”
Section: Display Calibrationmentioning
confidence: 99%