Light field matting evaluation method and device based on air angle consistency

Abstract

The invention discloses a light field matting evaluation method and device based on air angle consistency. The method comprises the following steps: step 1, extracting a central sub-aperture image of light field data; 2, calculating a disparity map of the light field data and a light field data center sub-aperture image alpha map; 3, propagating the alpha image of the central sub-aperture image to obtain a light field alpha image; and 4, evaluating the air angle consistency of the light field data in the light field alpha graph through an air angle consistency evaluation index S-cons obtained in a spatial domain, wherein the value range of the index S-cons is (0-1), the closer the index S-cons is to 1, the smaller the variance of the boundary region is, the better the air angle consistency of the light field data is, and the closer the index S-cons is to 0, the poorer the air angle consistency of the light field data is. By adopting the method provided by the invention, accurate and consistent light field matting can be realized, and the air angle consistency of the light field matting can be evaluated.

Description

technical field [0001] The invention relates to the technical field of optical information processing, in particular to a method and device for evaluating a light field matting based on the uniformity of the void angle. Background technique [0002] Light field describes the distribution of light in free space. Light field data captures the radiation of light from all directions, and records the spatial information, angle information and intensity information of light. Light field imaging can capture richer visual information, making up for traditional photography. The angle information that is lost in the simulation provides stronger capabilities for scene understanding and improves the performance of traditional computer vision problems. [0003] A 4D light field data can be represented by a 2D sub-aperture image array, so the 2D image matting algorithm by sub-aperture image can be regarded as realizing the matting of 4D light field data to a certain extent. The subapertu...

AI Technical Summary

Problems solved by technology

The sub-aperture image operation method does not consider the connection between different sub-aperture images, and cannot maintain the consistency of the empty angle of the light field data, and the obtained results are difficult to meet the requirements of downstream technologies and applications

In addition, the size of the light field data is large, and there is a lot of redundant information between the sub-aperture images. The simple sub-aperture image processing has too many redundant calculations, and the efficiency is too low.

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