一种区域立体快速自适应重建方法

doi:10.11947/j.AGCS.2016.20150651

测绘学报 ›› 2016, Vol. 45 ›› Issue (10): 1241-1249.doi: 10.11947/j.AGCS.2016.20150651

一种区域立体快速自适应重建方法

董杨, 范大昭, 纪松, 雷蓉

信息工程大学, 河南郑州 450000

收稿日期:2015-12-28 修回日期:2016-09-05 出版日期:2016-10-20 发布日期:2016-11-08
通讯作者: 范大昭 E-mail:fdzcehui@163.com
作者简介:董杨(1992-),男,硕士生,研究方向为数字摄影测量。E-mail:wenku34@163.com
基金资助:
国家自然科学基金（41401534）；地理信息工程国家重点实验室开放基金（SKLGIE2013-M-3-1）

A Rapid Adaptive Reconstruction Method for Stereoscopic Images

DONG Yang, FAN Dazhao, JI Song, LEI Rong

Information Engineering University, Zhengzhou 450000, China

Received:2015-12-28 Revised:2016-09-05 Online:2016-10-20 Published:2016-11-08
Supported by:
The National Natural Science Foundation of China (No.41401534);State Key Laboratory of Geographic Information Engineering (No. SKLGIE2013-M-3-1)

摘要/Abstract

摘要：

传统的正射立体影像制作对于地形复杂区域易受到大高差的影响，产生局部立体感不足或者复视现象，从而造成视觉疲劳。针对这一问题，本文引入了深度映射模型，设计了非线性映射函数依据实际地形自适应地进行高程变换，利用视差函数进行逐像元迭代求解生成立体影像。提供了一种能够自适应快速生成符合人眼视觉感受的立体影像对的算法和流程。

关键词: 立体影像, 深度映射, 映射函数, 视差函数

Abstract:

Influenced by large elevation variation, traditional ortho stereo image production method for complex terrain regions usually results in insufficient local stereoscopic or diplopia, and thus causes visual fatigue. In order to solve the problem, we introduce a depth mapping model, design a nonlinear mapping function, and according to the actual area elevations, adaptive preprocess height transformation. And then, through iterative and per-pixel solution with parallax function, stereo images are finally generated. Finally, we provide an algorithm or a process which can adaptive fast generate stereoscopic images.

Key words: stereoscopic images, depth mapping, mapping function, parallax function

中图分类号:

P236

董杨, 范大昭, 纪松, 雷蓉. 一种区域立体快速自适应重建方法[J]. 测绘学报, 2016, 45(10): 1241-1249.

DONG Yang, FAN Dazhao, JI Song, LEI Rong. A Rapid Adaptive Reconstruction Method for Stereoscopic Images[J]. Acta Geodaetica et Cartographica Sinica, 2016, 45(10): 1241-1249.

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一种区域立体快速自适应重建方法

A Rapid Adaptive Reconstruction Method for Stereoscopic Images

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