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检索条件"机构=Institute for Pattern Recognition and Image Processing Computer Science Department"
298 条 记 录,以下是241-250 订阅
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Hierarchical primitives based contour matching
Hierarchical primitives based contour matching
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24th Symposium of the German pattern recognition Association, DAGM 2002
作者: Zhang, Xiaofeng Burkhardt, Hans Orbotech-Schuh GmbH Co. and KG Bad-Pyrmont D-31812 Germany Department of Pattern Recognition and Image Processing Institute of Computer Science Faculty of Applied Science Freiburg Germany
An algorithm for contour matching is presented in this paper. It is implemented in two steps: firstly, bottom-up, corners are matched, the matched corner points guide line segment matching, and then the matched line s... 详细信息
来源: 评论
Multiple objects segmentation based on maximum-likelihood estimation and optimum entropy-distribution(MLE-OED)
Multiple objects segmentation based on maximum-likelihood es...
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16th International Conference on pattern recognition, ICPR 2002
作者: Jun, Xie Tsui, H.T. Deshen, Xia Image Processing and Computer Vision Lab Department of Electronic Engineering Chinese University of Hong Kong Hong Kong Pattern Recognition Lab Department of Computer Science Nanjing University of Sci.andTech. China
A new method based on MLE-OED is proposed for unsupervised image segmentation of multiple objects which have fuzzy edges. It adjusts the parameters of a mixture of Gaussian distributions via minimizing a new loss func... 详细信息
来源: 评论
Head detection and localization from sparse 3D data
Head detection and localization from sparse 3D data
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24th German Association for pattern recognition Symposium, DAGM 2002
作者: Clabian, Markus Rötzer, Harald Bischof, Horst Kropatsch, Walter Advanced Computer Vision GmbH Donau City Str.1 ViennaA-1220 Austria Institute for Computer Graphics and Vision Graz University of Technology Inffeldgasse 16 GrazA-8010 Austria Pattern Recognition and Image Processing Group Institute of Computer Aided Automation Computer Science Department Vienna University of Technology Favoritenstr. 9 ViennaA-1040 Austria
Head detection is an important, but difficult task, if no restrictions such as static illumination, frontal face appearance or uniform background can be assumed. We present a system that is able to perform head detect... 详细信息
来源: 评论
Color texture-based object detection: An application to license plate localization  1st
Color texture-based object detection: An application to lice...
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1st International Workshop on pattern recognition with Support Vector Machines, SVM 2002
作者: In Kim, Kwang Jung, Keechul Kim Hyung, Jin Artificial Intelligence Lab CS Department Korea Advanced Institute of Science and Technology Taejon305-701 Korea Republic of Pattern Recognition and Image Processing Lab CS and Engineering Department Michigan State University East LansingMI48824-1226 United States
This paper presents a novel color texture-based method for object detection in images. To demonstrate our technique, a vehicle license plate (LP) localization system is developed. A support vector machine (SVM) is use... 详细信息
来源: 评论
Text scanner with text detection technology on image sequences
Text scanner with text detection technology on image sequenc...
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16th International Conference on pattern recognition, ICPR 2002
作者: Jung, Keechul Kim, Kwang In Kurata, Takeshi Kourogi, Masakastu Han, Junghyun Pattern Recognition and Image Processing Lab. Michigan State Univerisity United States Artificial Intelligence Lab. KAIST Korea Republic of National Institute of Advanced Industrial Science and Technology Japan School of Electrical and Computer Engineering Sungkyunkwan University Korea Republic of
We propose a text scanner, which detects wide text strings in a sequence of scene images. For scene text detection, we use a multiple-CAMShift algorithm on a text probability image produced by a multi-layer perceptron... 详细信息
来源: 评论
Text Scanner with text detection technology on image sequences
Text Scanner with text detection technology on image sequenc...
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作者: Jung, Keechul Kim, Kwang In Kurata, Takeshi Kourogi, Masakastu Han, JungHyun Pattern Recognition and Image Processing Lab. Michigan State Univerisity United States Artificial Intelligence Lab. KAIST Korea Republic of National Institute of Advanced Industrial Science and Technology Japan School of Electrical and Computer Engineering Sungkyunkwan University Korea Republic of
We propose a text scanner, which detects wide text strings in a sequence of scene images. For scene text detection, we use a multiple-CAMShift algorithm on a text probability image produced by a multi-layer perceptron... 详细信息
来源: 评论
Multiple objects segmentation based on Maximum-likelihood Estimation and Optimum Entropy-distribution(MLE-OED)
Proceedings - International Conference on Pattern Recognitio...
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Proceedings - International Conference on pattern recognition 2002年 第1期16卷 707-710页
作者: Jun, Xie Tsui, H.T. Deshen, Xia Image Processing and Computer Vision Lab Department of Electronic Engineering Chinese University of Hong Kong Hong Kong Pattern Recognition Lab Department of Computer Science Nanjing University of Sci. and Tech. China
A new method based on MLE-OED is proposed for unsupervised image segmentation of multiple objects which have fuzzy edges. It adjusts the parameters of a mixture of Gaussian distributions via minimizing a new loss func... 详细信息
来源: 评论
Mobile robot localization under varying illumination
Mobile robot localization under varying illumination
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作者: Jogan, Matjaž Leonardis, Aleš Wildenauer, Horst Bischof, Horst Faculty of Computer and Information Science University of Ljubljana Tržaška 25 1001 Ljubljana Slovenia Pattern Recognition and Image Processing Group Institute for Computer Aided Automation Vienna University of Technology Favoritenstrasse 9/1832 A-1040 Vienna Austria Institute for Computer Graphics and Vision Graz University of Technology Inffeldgasse 16 2. OG A-8010 Graz Austria
Methods for mobile robot localization that use eigenspaces of panoramic snapshots of the environment are in general sensitive to changes in the illumination of the environment. Therefore, we propose an approach which ... 详细信息
来源: 评论
Mobile robot localization under varying illumination
Mobile robot localization under varying illumination
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16th International Conference on pattern recognition, ICPR 2002
作者: Jogan, Matjaž Leonardis, Aleš Wildenauer, Horst Bischof, Horst Faculty of Computer and Information Science University of Ljubljana Tržaška 25 Ljubljana1001 Slovenia Pattern Recognition and Image Processing Group Institute for Computer Aided Automation Vienna University of Technology Favoritenstrasse 9/1832 ViennaA-1040 Austria Institute for Computer Graphics and Vision Graz University of Technology Inffeldgasse 16 2. OG GrazA-8010 Austria
Methods for mobile robot localization that use eigen spaces of panoramic snapshots of the environment are in general sensitive to changes in the illumination of the environment. Therefore, we propose an approach which... 详细信息
来源: 评论
Multiple objects segmentation based on maximum-likelihood estimation and optimum entropy-distribution (MLE-OED)
Multiple objects segmentation based on maximum-likelihood es...
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International Conference on pattern recognition
作者: Xie Jun H.T. Tsui Xia Deshen Image Processing and Computer Vision Laboratory Department of Electronic Engineering Chinese University of Hong Kong Hong Kong China Pattern Recognition Laboratory Department of Computer Science Nanjing University of Science and Technology China
A new method based on MLE-OED is proposed for unsupervised image segmentation of multiple objects which have fuzzy edges. It adjusts the parameters of a mixture of Gaussian distributions via minimizing a new loss func... 详细信息
来源: 评论