场景图像分类技术综述
A survey on scene image classification
查看参考文献133篇
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文摘
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场景图像分类是机器人学研究面临的一个基本问题,也是计算机视觉领域的一项重要任务. 近年来,随着机器视觉技术的快速发展,涌现出众多场景分类方法和技术.这些方法涉及面非常广泛,为了呈现较为完整的场景分类方法体系,本文在深入调研的基础上对场景分类技术进行综述.首先简要介绍场景分类的发展现状,然后从特征提取的角度,对国内外主流的场景分类方法进行了详细阐述,并且对不同的方法进行了系统地分析、比较和总结,最后对未来场景分类方法和技术的发展趋势做出了展望. |
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其他语种文摘
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Scene classification is one of the primary problems in robotics research, as well as an important challenge in the field of computer vision. With the rapid development of machine vision technologies in recent years, numerous scene classification methods have been developed. These methods cover a wide range of computer vision tasks. To build a relatively complete system of scene recognition, we acquired a deep knowledge of fundamental scene classification technologies; the resulting research review is provided in this article. First, a very brief review of scene classification developments is provided. The main domestic and international scene classification methods are then described in detail, beginning with feature extraction. A systematic analysis, comparison, and summary are then presented, and potential future developments in scene classification technology are discussed in the conclusion. |
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来源
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中国科学. 信息科学
,2015,45(7):827-848 【核心库】
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DOI
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10.1360/N112014-00286
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关键词
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场景分类
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场景识别
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场景理解
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目标检测
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图像特征
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计算机视觉
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模式识别
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地址
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中国科学院西安光学精密机械研究所,光学影像分析与学习中心(OPTIMAL), 瞬态光学与光子技术国家重点实验室, 西安, 710119
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语种
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中文 |
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文献类型
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综述型 |
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ISSN
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1674-7267 |
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学科
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自动化技术、计算机技术 |
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基金
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国家自然科学基金
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文献收藏号
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CSCD:5487425
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参考文献 共
133
共7页
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|
1.
Durrant-Whyte H. Simultaneous localization and mapping: part I.
IEEE Robot Autom Mag,2006,13:99-110
|
被引
197
次
|
|
|
|
|
2.
吴伟仁. 月球车巡视探测的双目视觉里程算法与实验研究.
中国科学:信息科学,2011,41:1415-1422
|
被引
15
次
|
|
|
|
|
3.
Se S. Vision-based mobile robot localization and mapping using scale-invariant features.
Proceedings of the IEEE International Conference on Robotics and Automation,2001:2051-2058
|
被引
13
次
|
|
|
|
|
4.
王保丰. 嫦娥三号巡视器视觉定位方法.
中国科学:信息科学,2014,44:452-460
|
被引
20
次
|
|
|
|
|
5.
Choset H. Topological simultaneous localization and mapping (SLAM): toward exact localization without explicit localization.
IEEE Trans Robot Autom,2001,17:125-137
|
被引
15
次
|
|
|
|
|
6.
Lazebnik S. Beyond bags of features: spatial pyramid matching for recognizing natural scene categories.
Proceedings of IEEE Conference on Computer Vision and Pattern Recognition,2006:2169-2178
|
被引
15
次
|
|
|
|
|
7.
Zhou L. Scene recognition combining structural and textural features.
Sci China Inf Sci,2013,56:078106
|
被引
1
次
|
|
|
|
|
8.
Parizi S N. Reconfigurable models for scene recognition.
Proceedings of IEEE Conference on Computer Vision and Pattern Recognition,2012:413-420
|
被引
1
次
|
|
|
|
|
9.
Quattoni A. Recognizing indoor scenes.
Proceedings of IEEE Conference on Computer Vision and Pattern Recognition,2009:886-893
|
被引
1
次
|
|
|
|
|
10.
Xiao J X. Sun database: large-scale scene recognition from abbey to zoo.
Proceedings of IEEE Conference on Computer Vision and Pattern Recognition,2010:3485-3492
|
被引
3
次
|
|
|
|
|
11.
Lowe D G. Distinctive image features from scale-invariant keypoints.
Int J Comput Vision,2004,60:91-110
|
被引
4626
次
|
|
|
|
|
12.
Oliva A. Modeling the shape of the scene: a holistic representation of the spatial envelope.
Int J Comput Vision,2001,42:91-110
|
被引
1
次
|
|
|
|
|
13.
Dalal N. Histograms of oriented gradients for human detection.
Proceedings of IEEE Conference on Computer Vision and Pattern Recognition,2005:886-893
|
被引
52
次
|
|
|
|
|
14.
Felzenszwalb P. A discriminatively trained, multiscale, deformable part model.
Proceedings of IEEE Conference on Computer Vision and Pattern Recognition,2008:1-8
|
被引
15
次
|
|
|
|
|
15.
Felzenszwalb P. Object detection with discriminatively trained part-based models.
IEEE Trans Pattern Anal Mach Intell,2010,32:1627-1645
|
被引
526
次
|
|
|
|
|
16.
Pandey M. Scene recognition and weakly supervised object localization with deformable part-based models.
Proceedings of IEEE International Conference on Computer Vision,2011:1307-1314
|
被引
2
次
|
|
|
|
|
17.
Wu J X. CENTRIST: a visual descriptor for scene categorization.
IEEE Trans Pattern Anal Mach Intell,2011,33:1489-1501
|
被引
26
次
|
|
|
|
|
18.
Li L J. Object bank: a high-level image representation for scene classification & semantic feature sparsification.
Proceedings of Advances in Neural Information Processing Systems,2010:1378-1386
|
被引
1
次
|
|
|
|
|
19.
Li L J. Objects as attributes for scene classification.
Proceedings of European Conference on Computer Vision,2010:57-69
|
被引
1
次
|
|
|
|
|
20.
Sadeghi F. Latent pyramidal regions for recognizing scenes.
Proceedings of European Conference on Computer Vision,2012:228-241
|
被引
3
次
|
|
|
|
|
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