基于普通图像的全景漫游系统关键技术研究

发布时间：2018-04-06 23:36

本文选题：图像配准　切入点：图像融合　出处：《兰州交通大学》2013年硕士论文

【摘要】：基于普通二维图像的虚拟全景沉浸式漫游系统，与传统的基于三维几何建模的漫游系统相比，具有计算量少、独立于场景、能达到照片级别清晰度、占用更少的存储空间，不需要对计算机进行硬件提升，就能获得真实感很强的实时交互响应的视觉沉浸感。可广泛应用于虚拟政务场馆、教学、房地产和旅游等行业的全景展示与漫游，是目前国内外虚拟现实技术研究领域的技术热点。本文着重研究了普通二维图像的虚拟漫游系统中所涉及的图像配准、图像融合等关键算法，并结合全景漫游系统中实景虚拟的构建流程，以兰州市旅游漫游系统的研发为基础开发了基于全景图像的虚拟漫游制作平台。本文具体工作如下： (1)深入分析了当前全景漫游中图像配准的通用算法，通过大量的研究发现：在处理图像主体为对称物体时，算法本身极易产生图像特征误匹配。本文提出了基于模糊聚类分析的SIFT（Scale Invariant Feature Transform）特征检测算法，将模糊数学的模糊集与模糊矩阵引入到特征点的筛选当中，在此基础上实现了全景图像的精确配准，实验证明该方法在处理全景图像配准中配准效率高、算法鲁棒性强。 (2)在对全景漫游系统中图像融合算法研究的基础上，针对图像在融合过程中运动物体极易出现的鬼影、重影问题，及融合后图像白平衡产生明暗不一致问题，结合局部优先思想进行图像多分辨率的缝合线融合，“点”及“线”、“线”及“面”最终生成一个的缝合区域，用于图像融合。实验结果表明加入局部优先思想后算法可以有效的去除图像融合过程中的运动鬼影和降低图像白平衡问题，有效提升了图像融合质量。 (3)在研究实景空间虚拟漫游系统的建立技术与交互技术的基础上，论文对视点空间漫游中的预测阶梯过渡内存调度算法与构建图像反投影柱面算法进行了优化，在此基础上研发了兰州市旅游景点的虚拟漫游系统。
[Abstract]:Compared with the traditional roaming system based on 3D geometric modeling, the virtual panoramic immersion roaming system based on general two-dimensional images has less computation, is independent of the scene, can achieve photo level clarity, and occupies less storage space.The visual immersion of real-time interactive response can be achieved without hardware upgrading of the computer.It can be widely used in virtual government venues, teaching, real estate, tourism and other industries panoramic display and roaming, which is a hot spot in the field of virtual reality technology research at home and abroad.This paper focuses on the image registration, image fusion and other key algorithms involved in the general two-dimensional image virtual roaming system, and combines the construction process of the virtual scene in the panoramic roaming system.Based on the research and development of tourism roaming system in Lanzhou, a virtual roaming platform based on panoramic images is developed.The specific work of this paper is as follows:1) the general algorithms of image registration in panoramic roaming are deeply analyzed. Through a lot of research, it is found that when the image body is a symmetrical object, the algorithm itself is prone to produce image feature mismatch.In this paper, a feature detection algorithm of SIFT(Scale Invariant Feature transform based on fuzzy clustering analysis is proposed. The fuzzy set and fuzzy matrix of fuzzy mathematics are introduced into the feature points selection, and the panoramic image registration is realized.Experiments show that the proposed method is efficient and robust in panoramic image registration.2) based on the research of image fusion algorithm in panoramic roaming system, aiming at the problems of ghost, double image and white balance of image, which are easy to appear in the process of image fusion,Combined with the idea of local priority, the multi-resolution stitching line fusion of image is carried out, and the "points" and "lines", "lines" and "faces" are finally generated a suture region for image fusion.The experimental results show that the algorithm can effectively remove the moving ghost and reduce the white balance in the process of image fusion, and improve the quality of image fusion effectively.3) based on the research of the technology of virtual roaming system and interactive technology, this paper optimizes the scheduling algorithm of prediction step transition memory and the algorithm of constructing image backprojection cylinder in view space roaming.On this basis, a virtual roaming system of Lanzhou tourist attractions is developed.
【学位授予单位】：兰州交通大学
【学位级别】：硕士
【学位授予年份】：2013
【分类号】：TP391.41

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