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检索条件"机构=Image Processing and Pattern Recognition Institute"

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Analysis of appearance features for human matching between different fields of view

Analysis of appearance features for human matching between d...

引用

2009 IEEE International Conference on Multimedia and Expo, ICME 2009

作者： Xiaowei, Lv Kong, Qing-Jie Fei, Weng Yuncai, Liu Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong Univ. Shanghai China Beckman Institute Department of Electrical and Computer Engineering Univ. of Illinois at Urbana-Champaign Urbana IL United States

ISBN: (纸本)9781424442911

Human matching between different fields of view is a difficult problem in intelligent video surveillance;whereas fusing multiple features has become a strong tool to solve it. In order to guide the fusion scheme, it is necessary to evaluate the matching performance of these features. In this paper, four typical features are chosen for the evaluation. They are the Color Histogram, UV Chromaticity, Major Color Spectrum Histogram, and Scale-Invariant Features (SIFT). Quantities of video data are collected to test their general accuracy, robustness, and real-time applicability. The robustness is measured under the conditions of illumination changes, Gaussian and salt noises, foreground errors, resolution changes, and camera angle differences. The experimental results show that the four features bear distinctive performances under the different conditions, which will provide important references for the feature fusion methods. ©2009 IEEE.

关键词： Graphic methods

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数字媒体技术专业实训规划的探讨

数字媒体技术专业实训规划的探讨

引用

第21届全国计算机新科技与计算机教育学术大会

作者： YANG Xinxin 杨欣欣 ZHOU Bing 周兵 MIAO Ru 苗茹 School of Computer and Information Engineering Henan University Kaifeng 475004 河南大学计算机与信息工程学院开封475004 Institute of Image Processing and Pattern Recognition Henan University Kaifeng 475004 河南大学图像处理与模式识别研究所开封475004

本文以河南大学计算机与信息工程学院的数字媒体技术专业的校内实训为例，探讨了如何对数字媒体技术专业进行实训。本文首先论述了实训规划，并以视频短片为例子进行了详细说明。其次通过实训效果和实训经验的总结，得出了下一步工作应... 详细信息

本文以河南大学计算机与信息工程学院的数字媒体技术专业的校内实训为例，探讨了如何对数字媒体技术专业进行实训。本文首先论述了实训规划，并以视频短片为例子进行了详细说明。其次通过实训效果和实训经验的总结，得出了下一步工作应该做些什么的结论。

关键词：高等院校数字媒体技术专业视频教学实训效果

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The Algorithm for Matching 2D Contours Based on V-System

The Algorithm for Matching 2D Contours Based on V-System

引用

Chinese Conference on pattern recognition (CCPR)

作者： Caixia Zhang Zhihua Miao Fengmei Sun Institute of Image Processing and Pattern Recognition North-China University of Technology Beijing China

Curve matching is one of key issues in computer vision, image analysis and pattern recognition. Based on discrete V-transform, the distance is calculated between curves using the descriptor of V-system to find the matching curves, and then the matching parameters are evaluated in this article. The new approach can find efficiently the rough location of a short extracted image curve in a long reference curve. Different from the existing approaches, it needn't to extract feature points. Extensive tests show that it is efficient.

关键词： pattern matching pattern recognition image processing Computer vision image analysis Feature extraction Testing

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MULTI-VIEW FACE DETECTION WITH THE MULTI-RESOLUTION MPP CLASSIFIERS

MULTI-VIEW FACE DETECTION WITH THE MULTI-RESOLUTION MPP CLAS...

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2009 International Conference on Machine Learning and Cybernetics(2009机器学习与控制论国际会议)

作者： XU YANG XIN YANG HUI-LIN XIONG Institute of Image Processing & Pattern Recognition Shanghai Jiaotong University Shanghai 200240 China

Detecting multi-view faces is a challenging task, not only because of the face variations in scale, illumination, and expression, but also of the variations caused by multiple views. In this paper, we proposed a multi-layer cascaded architecture, which can focus attention on the promising regions of the image. The whole classifiers are only evaluated on the face like parts of the image, while the most amount of background blocks are excluded by the first few layers of the detector. Instead of using predefined priori knowledge about face view partition, we divide the sample space automatically by the branching competitive learning network at different discriminative resolutions. To maintain the high detection efficiency, we adopt the simplified Support Vector Machines (SVMs), called the mirror pair of points (MPP) classifiers, as the component of our detection system. Experimental results show that our system is competitive with other systems presented recently in the literature.

关键词： Face detection Support vector machines Branching competitive learning Machine learning

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Medical ultrasound image segmentation Based on improved watershed scheme

Medical ultrasound image segmentation Based on improved wate...

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The 3rd International Conference on Bioinformatics and Biomedical Engineering(iCBBE 2009)(第三届生物信息与生物医学工程国际会议)

作者： Wenjie Mao Liang Li Yingxia Fu Peirui Bai Shandong University of Science and technology Institute of Image Processing and Pattern Recognition Shandong University of Science and Technology College of Resource and Environment Engineering Qingda Shandong University of Science and technology Institute of Image Processing and Pattern Recognition

with the characteristics of precision edge and closed contour, watershed segmentation algorithm is used widely in image segmentation. However, over-segmentation always occurs when it is applied to ultrasound images associated with speckle noise. In this paper, an improved watershed segmentation scheme is proposed based on comprehensive consideration of gray scale information, edge information and the relationship between neighboring regions of ultrasound images. A novel criteria deciding the relationship between neighboring regions was defined, and edge information was also added to the merging guidelines. Similar region merging was then applied to the initial segmentation results. The proposed scheme was tested using representative ultrasound image. The experimental results show that the proposed scheme can produce accurate contours and overcome the over-segmentation phenomenon availably.

关键词： Watershed algorithm Medical ultrasound image Similar region merging Gray information Edge information Relationship between neighboring regions

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Curve reconstruction from a set of dense scattered points using A* algorithm

Curve reconstruction from a set of dense scattered points us...

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MIPPR 2009 - Automatic Target recognition and image Analysis: 6th International Symposium on Multispectral image processing and pattern recognition

作者： Sun, Yangguang Zhou, Chengping Cai, Chao Ding, Mingyue Institute for Pattern Recognition and Artificial Intelligence State Key Laboratory for Multi-spectral Information Processing Technologies HUST Wuhan 430074 China College of Life Science and Technology Image Processing and Intelligence Control Key Laboratory of Education Ministry of China HUST Wuhan 430074 China

ISBN: (纸本)9780819478061

In this paper, a novel curve reconstruction method based on A* algorithm from a set of dense scattered points was proposed. Our method can not only reconstruct dense scattered points with single connected complicated form, but also solve the problem building the curve from the scattered points with close form and multiply connected form. Moreover, the influence of noise points on reconstructed curves is farther decreased, and the shape of dense scattered points will be well hold. Experimental results have demonstrated that the proposed method has the feasibility and robustness. © 2009 Copyright SPIE - The International Society for Optical Engineering.

关键词： pattern recognition

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Spatial and Spectral Based Segmentation of Text in Multispectral images of Ancient Documents

Spatial and Spectral Based Segmentation of Text in Multispec...

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International Conference on Document Analysis and recognition

作者： Martin Lettner Robert Sablatnig Pattern Recognition and Image Processing Group Institute of Computer Aided Automation University of Technology Vienna Austria

ISBN: (纸本)9781424445004

In this paper we propose a character segmentation method for multispectral images of ancient documents. Due to the low quality of the images the main idea of this study is to combine the multispectral behavior and contextual spatial information. Therefore we utilize a Markov random field model using the spectral information of the images and stroke properties to include spatial dependencies of the characters. Since the stroke properties and the Gaussian parameters for the imaging model are evaluated automatically the proposed segmentation method requires no training phase. We compared the method to state of the art character segmentation methods and demonstrate the effectiveness of combining spectral and spatial features for the segmentation of characters in multispectral images.

关键词： image segmentation Multispectral imaging image analysis Color Independent component analysis Text analysis Character recognition pattern recognition Markov random fields pattern analysis

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A point-pattern matching method based on maximal subset of one-to-one mapping

A point-pattern matching method based on maximal subset of o...

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MIPPR 2009 - pattern recognition and Computer Vision: 6th International Symposium on Multispectral image processing and pattern recognition

作者： Hu, Jing Zhang, Tian-Xu Institute for Pattern Recognition and AI Hua Zhong University of Science and Technology Wuhan 430074 China Key Lab. of Education Ministry for Image Processing and Intelligent Control Hua Zhong University of Science and Technology Wuhan 430074 China

ISBN: (纸本)9780819478078

This paper presents a new affine registration approach for planar point pattern matching. A process of parameter space clustering is implemented to confirm a one-to-one mapping between the maximal subsets of feature point sets in images. For a best performance, a coarse parameter space and a fine parameter space are used for vectors comparison. Experiments show that the method can produce positive results from a small number of feature points and intensive noise. © 2009 Copyright SPIE - The International Society for Optical Engineering.

关键词： Affine transforms

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Color-based and context-aware skin detection for online video annotation

Color-based and context-aware skin detection for online vide...

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IEEE Workshop on Multimedia Signal processing

作者： Christian Liensberger Julian Stottinger Martin Kampel Institute of Computer Aided Automation Pattern Recognition and Image Processing Group University of Technology Vienna Austria

By analyzing the low level features of images only, skin detection in visual data cannot be solved. To compensate for this major drawback of many approaches, we combine a state of the art recognition algorithm with color model based skin detection. Detected faces in videos are the basis for adaptive skin-color models, which are propagated throughout the video, providing a more precise and accurate model in its recognition performance than pure color based approaches. The approach is able to run in real-time and does not need prior data-specific training. We received challenging online videos from an online service provider and use additional videos from public Web platforms covering a grand variety of different skin-colors, illumination circumstances, image quality and difficulty levels. In an extensive evaluation we estimated the best performing parameters and decide on the best model propagation techniques. We show that adaptive model propagation outperforms static low level detection.

关键词： Skin Face detection image analysis Lighting Internet Automation pattern recognition image processing image color analysis pattern analysis

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Needle segmentation in 3D ultrasound images based on phase-grouping

Needle segmentation in 3D ultrasound images based on phase-g...

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MIPPR 2009 - Medical Imaging, Parallel processing of images, and Optimization Techniques: 6th International Symposium on Multispectral image processing and pattern recognition

作者： Zhao, Siying Qiu, Wu Ming, Yuchi Ding, Mingyue Institute of Pattern Recognition and Artificial Intelligence Image Processing and Intelligence Control Key Laboratory of Education Ministry of China Huazhong University of Science and Technology Wuhan 430074 China Institute of Pattern Recognition and Artificial Intelligence Image Processing and Intelligence Control Key Laboratory of Education Ministry of China Huazhong University of Science and Technology Hubei 10086 China School of Life Science and Technology Huazhong University of Science and Technology Wuhan 430074 China School of Life Science and Technology Huazhong University of Science and Technology Hubei 10086 China

ISBN: (纸本)9780819478085

Three Dimensional (3D) ultrasound images can provide spatial information to help doctors locate the needle position precisely in ultrasound-guided surgery. In this paper, we present a method called "3D Phase-grouping" to segment the needle inside the patient. The method is an extension from 2D phase-grouping to the 3D case via a new mathematic model-the outer products of adjacent orientation vectors. Firstly, the voxels with the same outer products of the gradient orientation vectors of the adjacent points are divided into Line Support Regions (LSR). Then, the needle is extracted with the 3D Least-Squares line fitting method in the maximal LSR. Synthetic and 3D ultrasound phantom data were tested. The segmentation results were evaluated by the angular deviation, position deviation and computational time. Compared with the 3D Hough transform, 3D Phase-Grouping is more accurate and faster without using pre-information. The computational complexity and robustness of the algorithm remain to be our future research topics. © 2009 Copyright SPIE - The International Society for Optical Engineering.

关键词： Needles

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