Three-dimensional modeling method for eyeball

Abstract

The invention relates to a three-dimensional modeling method for an eyeball. The method comprises the following steps of: acquiring images, calibrating a camera, extracting (identifying) features, matching the features, determining depth information, performing post processing on three-dimensional images and the like. The method particularly comprises the following steps of: 1, acquiring a plurality of groups of eyeball and eyebase images through a single camera: describing all the angle states of eyeball rotation respectively; 2, calibrating the camera: determining the position and the attribute parameter of the camera, and determining the corresponding relationship between an object point in a space coordinate system and an image point of the object point; 3, extracting the features andidentifying the features; 4, calculating according to the selected features; 5, acquiring parallax images, and determining depth images and recovering scene 3D information; and 6, performing depth interpolation, error correction and precise improvement on the recovered scene. By the method, three-dimensional reestablishment is performed on an eyeball image sequence, the reestablishment effect is vivid, the speed is higher, and the stereoscopic impression of the images is strong. The method has the characteristics that: the method has a simple algorithm, is easy to implement, and the like.

Description

technical field [0001] The invention relates to a three-dimensional modeling method, in particular to a three-dimensional modeling method for generating a three-dimensional image of an eyeball. Background technique [0002] With the continuous development of medical science and technology and the accumulation of experience, X-ray plain film, ultrasound, CT, MRI and other imaging examination methods have been successively introduced into the diagnosis of eye diseases. The development of medical image visualization technology algorithms starts from basic image processing algorithms such as Fourier transform and convolution back projection, to MPR (multi-planar reformation, multi-level reconstruction), MTP (maximum intensity projection, maximum density projection method), all the way to surface rendering and volume painted. [0003] MPR rearranges the collected three-dimensional data (also known as voxel, Voxel) to display sections in any direction. And MIP is to project the ...

AI Technical Summary

Problems solved by technology

[0005] In modern ophthalmic 3D imaging, many use 3D ultrasound technology, which has the following disadvantages: The scanning time of the B-ultrasound probe is about 5-15s. During this period, the detection target moves relative to the probe, which will cause the scanning image to be deformed or defective. , called motion artifacts

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