[1]陆振杰,宋进.单幅数字图像多尺度空间下的场景深度估计[J].计算机技术与发展,2013,(01):51-53.
　LU Zhen-jie,SONG Jin.Scene Depth Estimation for Single Digital Image in Multi-scaled Space[J].,2013,(01):51-53.
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单幅数字图像多尺度空间下的场景深度估计()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2013年01期
页码:
51-53
栏目:
智能、算法、系统工程
出版日期:
1900-01-01

文章信息/Info

Title:
Scene Depth Estimation for Single Digital Image in Multi-scaled Space
文章编号:
1673-629X（2013）01-0051-03
作者:
陆振杰; 宋进
上海大学 机电工程与自动化学院
Author(s):
LU Zhen-jie; SONG Jin
关键词:
双目立体视觉; 机器人导航; 单幅数字图像; Markov; 随机场; 场景深度估计; 多尺度空间
Keywords:
binocular vision; robot navigation; single digital image; Markov random field; scene depth estimation; multi-scaled space
文献标志码:
A
摘要:
双目立体视觉方法已广泛应用于移动机器人导航领域,通过该方法得到的视差图实现了对场景深度的有效估计,然而,双目立体视觉方法需要对图像对做匹配,计算量大,不适合动态场景的深度信息的获得.为了避免图像匹配的计算,以得到真实场景的深度估计,文中提出了一种基于 Markov 随机场模型对单幅数字图像特征建模来获得场景深度信息的方法.实验证明,通过单幅数字图像获得的场景深度可以有效地估计真实场景中摄像机与场景目标之间的距离,并且,随着尺度空间的变大,可以有效减小其所获得的深度值误差
Abstract:
Binocular stereo vision method has been widely used in mobile robot navigation area,the parallax diagram get by this method realizes the effective estimation for scene depth,however,binocular stereo vision method needs to do the image matching with large a-mounts of calculation,and is not suitable for dynamic scene depth information gain. In order to avoid the calculation of image matching, getting real scene depth estimation,present a method based on Markov random field model for singles digital image feature modeling to get scene depth information. The experiment proved the scene depth through the single digital image can effectively estimate the distance between camera and target scene in real scene,and with the variable scale space,can effectively reduce its received depth value error

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更新日期/Last Update: 1900-01-01