MATE: Machine Learning for Adaptive Calibration Template Detection
The problem of camera calibration is two-fold. On the one hand, the parameters are estimated from known correspondences between the captured image and the real world. On the other, these correspondences themselves—typically in the form of chessboard corners—need to be found. Many distinct approaches...
| Main Authors: | , , , |
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| Format: | Online |
| Language: | English |
| Published: |
MDPI
2016
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| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5134517/ |