3-D retinal curvature estimation
IEEE Transactions on Information Technology in Biomedicine - Special section on body sensor networks
Affine camera for 3-d retinal surface reconstruction
ISVC'06 Proceedings of the Second international conference on Advances in Visual Computing - Volume Part II
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This paper proposes a method to reconstruct and display 3D fundus (inner bottom of eyeball) pattern from a set of multiple partial images of fundus. They were taken from several different view angles by shifting fundus camera. Because they are distorted by eye lens, a simple stereo technique does not work for the 3D reconstruction from any pair of images. Moreover, every fundus image's distortions differ from each other. In this method, we utilize the fact that a fundus has a spherical shape and that the image of sphere by the eye lens results in a quadratic surface. First, we determine each camera's viewing position and pose relative to the eyeball and the shape of the quadratic surface by matching feature points in every fundus image on the quadratic image surface. Then, we identify the eye lens parameters so that the quadratic surface should be originated from a spherical fundus surface. As the result, we obtain a wide area 3D fundus pattern reconstructed from the set of fundus images. This result will be helpful for medical diagnosis.