Rotary model-based fisheye image quasi dense corresponding point matching diffusion method
A technology of corresponding point matching and fisheye image, which is applied in the field of computer vision, can solve the problems of unstable affine model and unreliable diffusion results, and achieve the effect of stable and reliable diffusion process, flexible use and simple calculation
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[0028] The present invention will be described in detail below in conjunction with the accompanying drawings. It should be noted that the described embodiments are only intended to facilitate the understanding of the present invention, rather than limiting it in any way.
[0029] The present invention assumes that the camera first takes two fisheye images from different positions, and then realizes the matching diffusion of quasi-dense corresponding points through the following steps. The whole process can be found in figure 1 .
[0030] 1. Extract and match feature points of two images
[0031] In this step, many classic methods in the literature can be used to automatically realize feature extraction and matching, such as feature extraction methods based on affine invariants [4] Mikolajczyk K, Tuytelaars T, Schmid C, Zisserman A, Matas J, Schaffalitzky F , Kadir T and Van Gool L.A comparison of affine region detectors. International Journal of Computer Vision, 2005, 65(1-2)...
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