Light field photography is commonly used to solve computer vision problems. However

the study of light field photography-based computer vision is stillat the initial stage and a comprehensive theory on this issue has yet to be proposed. This paper presents a survey of light field photography on the context of computer vision

including 1) mainstream light-field cameras and the merits and demerits of their application for computer vision tasks; 2) calibrating

decoding and pre-processing schemes for light-field cameras; 3) the techniques of rendering and reconstructing images from 4D light fields and the contributions of these techniques to computer vision tasks; and 4) the methods for extracting features or constructing descriptors for computer vision tasks from 4D light fields. The advantages and disadvantages of light field photography-based computer vision are discussed. Finally

the key problems in advanced research of light field photography and related computer vision are proposed with some potential approaches. The conclusion of our study is that light field photography provides a novel view for computer vision research;thus

this method can attract more attention from both the academe and industry.Finally

light field photography and computer vision are closely related and collaboratively developed.