Researches On Environments Of Full View Navigation Based On Fish Eye Image

In this paper, we mainly discuss how to use fish eye image to create environments of full view navigation. Our main work is as following:(l)The theory of generating fish eye image and the algorithm for recovering original scene images from fish eye image according this theory.(2)The algorithm for contour retrieval of fish eye image .According the peculiarity of fish eye image, we introduce an algorithm for calculating the center and radius of the circular region in the fish eye image, which use the method of calculating the area of the circular region.(3)The algorithm for searching the similar region of two fish eye image taken along inverse direction. The existing algorithm for searching the similar region is generally image matching, but the computation amount is too much. We design an algorithm for searching the similar region by scanning the extreme value of minus image, which cost less in computation amount and can satisfy the requirement of application in precision.(4) The algorithm for correcting the geometrical distortion of fish eye image. Because of the aberration of fish eye lens resulting from fabrication procedure, there exists serious geometrical distortion, which arises the problem of correcting the fish eye image. We give the algorithm which use spherical template with altitudes and longitudes to correct the image.(5)The algorithm for implementing interactive full view navigation.