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《Acta Geodaetica et Cartographica Sinica》 2018-06
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Micro Lens Mono-channel Light Field 3D Direct Imaging Method Based on Bionic Vision and 3-3 Dimensional Information Transformation Foundation

ZHAO Shoujiang;ZHAO Hongying;YANG Peng;ZHAO Haimeng;Anand ASUNDI;YAN Lei;The Institute of Remote Sensing and Geographic Information System,the School of Earth and Space Sciences,Peking University,Beijing Key Laboratory of Spatial Information Integration and 3S Engineering Application;The School of Mechanical and Aerospace Engineering,Nanyang Technological University;  
This paper is the third part of the three dimensional digital photogrammetry intelligent conformation under the machine vision parameter:the direct 3 Dimaging mechanism of the light field and the 3 Dintelligent conformation benchmark of digital photogrammetry.In this paper,the moving object's capture takes 3-3-2 information processing as the starting point,the basic principle of using biological compound eye threedimensional imaging,however,because the traditional bionic vision by the hardware constraints,this paper obtained the theory based on bionic compound eye 3-3-2 information,the use of a new generation of micro lens array light field camera technology,put forward a method of extracting depth information of the scene to single light field images,and its application to absolute depth measurement.The light field image an important characteristic is that the intensity and direction of different light information recording into the camera,this paper proposes the use of light information for multi depth focusing,the focusing points in different levels of cost calculation,determine the object image plane,finally construct the depth map object point based on the location of the imaging plane.Compared with the traditional light depth estimation,the depth map obtained by this method can greatly improve the resolution,and does not depend on the number of micro lens in the lightfield.Inorderto verify the effectiveness of the proposed method,this paper will compare the depth calculation using the algorithm proposed in this paper and the existing depth information algorithm.
【Fund】: 国家自然科学基金项目(61101157;60602042);; 国家重大计划研发项目(2017YFB0503003)~~
【CateGory Index】: TP391.41
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