测绘学报 ›› 2018, Vol. 47 ›› Issue (6): 809-815.doi: 10.11947/j.AGCS.2018.20170628

• 计算机视觉与三维重建 • 上一篇    下一篇

基于仿生视觉的单相机光场成像及3-3维直接转换基础

赵守江1, 赵红颖1, 杨鹏1, 赵海盟1, Anand ASUNDI2, 晏磊1   

  1. 1. 北京大学地球与空间科学学院遥感与地理信息系统研究所空间信息集成与3S工程应用北京市重点实验室, 北京 100871;
    2. 南洋理工大学机械与航天工程学院, 新加坡 639798
  • 收稿日期:2017-11-10 修回日期:2018-03-20 出版日期:2018-06-20 发布日期:2018-06-21
  • 通讯作者: 晏磊 E-mail:lyan@pku.edu.cn
  • 作者简介:赵守江(1996-),男,博士生,研究方向为摄影测量与遥感。E-mail:1601110606@pku.edu.cn
  • 基金资助:
    国家自然科学基金项目(61101157;60602042);国家重大计划研发项目(2017YFB0503003)

Micro Lens Mono-channel Light Field 3D Direct Imaging Method Based on Bionic Vision and 3-3 Dimensional Information Transformation Foundation

ZHAO Shoujiang1, ZHAO Hongying1, YANG Peng1, ZHAO Haimeng1, Anand ASUNDI2, YAN Lei1   

  1. 1. 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, Beijing 100871, China;
    2. The School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore 639798
  • Received:2017-11-10 Revised:2018-03-20 Online:2018-06-20 Published:2018-06-21
  • Supported by:
    The National Natural Science Foundation of China (Nos.61101157;60602042);The National Major Project Research and Development Project (No.2017YFB0503003)

摘要: 本文是机器视觉参量下的三维数字摄影测量智能构象第三部分,以仿生复眼运动目标捕获的3-3-2信息处理方式为切入点,提出生物利用复眼进行三维成像的基本原理,然而由于传统仿生视觉受到硬件条件制约,所以本文在仿生复眼3-3-2信息获取理论的基础上,利用新一代微透镜阵列光场相机技术,提出了一种以单张光场影像获取目标场景深度信息的方法,并将其应用至绝对深度测量中。由于光场影像的一个重要的特性在于记录进入相机的不同光线的强度与方向信息,本文提出利用光线信息进行多深度层次重聚焦的方法,通过对物点在不同层次进行聚焦代价计算,确定出物点成像的平面,最终构建基于物点成像平面位置的深度图。与传统的光场深度估计相比,本文方法计算的深度图可以显著提升分辨率,且不依赖于光场微透镜的数目。为了验证本文方法的有效性,利用本文的算法与现有的深度信息的算法进行深度计算的比较。

关键词: 仿生复眼, 光场技术, 3-3维, 三维计算

Abstract: This paper is the third part of the three dimensional digital photogrammetry intelligent conformation under the machine vision parameter:the direct 3D imaging mechanism of the light field and the 3D intelligent 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 three-dimensional 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 light field.In order to 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.

Key words: bionic compound eye, light field, 3D-3D transform, 3D computation

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