Automatic Feature Extraction for Wide-angle and Fish-eye Camera Calibration

The increase need to have 360 degree perception of world environment has led to the combination of various cameras in the varieties of narrow and wide-angle field of view. Current state of art methods do not provide an automatic means for fish-eye calibration, which is indispensable in an industrial environment where many lenses are to be calibrated in a relative short time. As automatic feature extraction is the key issue for fully automatic calibration framework, we address this issue to remove any form of human intervention during the calibration process. Unlike state-of-the-art methods, the proposed framework is completely automatic and not prone to detection errors. We evaluate the proposed feature extraction using state-of-the-art generic calibration model with both real and synthetic images.