| 基于内容理解的单幅静态街景图像深度估计 |
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| 引用本文： | 李乐,张茂军,熊志辉,徐玮.基于内容理解的单幅静态街景图像深度估计[J].机器人,2011,33(2):174-180. |
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| 作者姓名： | 李乐 张茂军 熊志辉 徐玮 |
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| 作者单位： | 国防科学技术大学信息系统与管理学院,湖南,长沙,410073 |
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| 基金项目： | 国家863计划资助项目，国家自然科学基金资助项目 |
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| 摘 要： | 提出一种通过分析理解单幅街景图像内的景物构图关系实现图像深度估计的方法.该方法首先对单幅街景图像分块并提取图像块自身的特征以及邻域联合特征,通过机器学习的方法根据图像块的特征识别图像中的各类景物,分析理解街景图像中景物的组成结构:然后,依据小扎成像模型推导出景物的图像坐标和真实深度之间的关系,从而计算出图像内地面区域的...
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| 关 键 词： | 特征提取 景物分类 小孔成像模型 深度估计 |
Depth Estimation from a Single Still Image of Street Scene Based on Content Understanding |
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| LI Le,ZHANG Maojun,XIONG Zhihui,XU Wei.Depth Estimation from a Single Still Image of Street Scene Based on Content Understanding[J].Robot,2011,33(2):174-180. |
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| Authors: | LI Le ZHANG Maojun XIONG Zhihui XU Wei |
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| Affiliation: | LI Le,ZHANG Maojun,XIONG Zhihui,XU Wei (College of Information Systems and Management,National University of Defense Technology,Changsha 410073,China) |
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| Abstract: | A method for depth estimation by understanding how the objects compose the whole scene in a single image of street scene is presented.Firstly,a single image of street scene is segmented into regions.The features of each region and the associated features of its neighbor area are extracted.And the regions are classified as types of object with features of each region by machine learning method,which shows how the image is made up of every object.Then,the depth of ground is estimated by the relationship betwe... |
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| Keywords: | feature extraction object classification pin-hole imaging model depth estimation |
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