Real-Time Direct Dense Matching on Fisheye Images Using Plane-Sweeping Stereo
Christian Häne, Lionel Heng, Gim Hee Lee, Alexey S. Sizov, Marc Pollefeys · 2014
In this paper, we propose an adaptation of camera projection models for fisheye cameras into the plane-sweeping stereo matching algorithm. This adaptation allows us to do plane-sweeping stereo directly on fisheye images. Our approach also works for other non-pinhole cameras such as omni directional and catadioptric cameras when using the unified projection model. Despite the simplicity of our proposed approach, we are able to obtain full, good quality and high resolution depth maps from the fisheye images. To verify our approach, we show experimental results based on depth maps generated by our approach, and dense models produced from these depth maps.