Fine image matching for narrow baseline stereovision
Takeshi Arai, Akira Iwasaki · 2012
Image matching methods are integrated into digital elevation model (DEM) generation and some other satellite image processing, such as parallax correction. These applications require highly accurate disparity. In particular, a kind of DEM generation system called narrow baseline stereovision system requires fine sub-pixel image matching method. This system is attractive because of its ability to avoid an occlusion problem. In this work, to improve the estimation accuracy, we extended phase correlation technique to multi-band image. This extension can ensure robustness to target scenes, so that global accuracy of estimated disparity can be improved. We also applied proposed image matching method to commercial stereo camera images, which is useful to reduce miss-matching area compared with existing method.