检索结果-内蒙古大学图书馆

International Conference on Pattern recognition

作者： De Zhang Yunhong Wang Intelligent Recognition and Image Processing Laboratory School of Computer Science and Engineering BeiHang University Beijing China

ISBN: (纸本)9781424421749

In this paper, we investigate the efficiency of different view angles when classifying gender with gait biometrics for the first time. A gait database is built for this purpose in which walking videos are recorded at seven different views for each subject. Then, we employ a robust gait representation method to extract gait features. The class separability of these features from different view angles are analyzed and compared. A set of experiments are designed to evaluate the performance of gait based gender classification along with the changes of view angle. The experimental results show that 0deg and 180deg are the worst view angles in this two-category case and the 90deg view dose not perform the best, unlike it takes the best performance in gait recognition.

关键词： Humans Legged locomotion Spatial databases Biometrics Robustness Feature extraction Data analysis Data mining image recognition image processing

来源：评论

学校读者我要写书评

暂无评论

3D Face Pose Normalization Using Equipartition Fitting Sphere Representation of Shape

3D Face Pose Normalization Using Equipartition Fitting Spher...

引用

International Conference on image and Graphics (ICIG)

作者： Peijiang Liu Yunhong Wang Intelligent Recognition and Image Processing Laboratory School of Computer Science and Engineering Beihang University Beijing China

ISBN: (纸本)9780769552378;9780769538839

Pose normalization is a necessary process of 3D face recognition. Automatic and robust normalization is still a challenge to existing techniques. We propose a novel method called Equipartition Fitting Sphere Representation (EPFSR) for shape representation. Convexes on face are localized firstly based on EPFSR. Then the tip and orientation of nose are identified automatically from convexes by template matching. Extensive experiments are performed on five popular 3D face databases. Results show the high robustness of the proposed methods to expression variations. Accuracy of nose identification is more than 97.7%. Time cost depends on the number of face vertices. It takes averagely less than 9 seconds to localize the nose on a 3D head including around 80000 vertices in the FRGC2.0 database.

关键词： Shape Nose Face recognition Clouds Robustness Databases Costs Face detection Humans Computer graphics

来源：评论

学校读者我要写书评

暂无评论

A Micro-Expression recognition Network Based on Attention Mechanism and Motion Magnification

引用

IEEE Transactions on Affective Computing 2024年

作者： Wu, Falin Xia, Yu Ma, Boyi Hu, Tianyang Yang, Jingyao Li, Haoxin Huang, Di Beihang University SNARS Laboratory School of Instrumentation and Optoelectronic Engineering Beijing China Beihang University Intelligent Recognition and Image Processing Lab. School of Computer Science and Engineering Beijing China

Micro-expressions (MEs) are spontaneous facial movements that reveal an individual's genuine emotions and play a crucial role in various domains, including lie detection, criminal analysis, mental health treatment, national security, and others. Micro-expression recognition is a highly complex aspect within the domain of affective computing, aimed at identifying subtle facial motions that are difficult for humans to discern accurately. To model the subtle facial muscle motions and the brief duration of MEs, we propose a robust micro-expression recognition (MER) network, named the attention mechanismbased motion magnification guided micro-expression recognition network (AM-MM-MER). This network consists of two primary components: the ST-MEMM network, which enhances subtle motions in micro-expression videos to reveal imperceptible facial muscle motions, and the AM-MER, which focuses on facial landmarks related to micro-expressions and incorporates novel landmark positions to extract the underlying relationships among these landmarks, thereby reducing interference from video magnification and irrelevant identity features. Extensive analysis on the CASME II and SAMM datasets demonstrates the high accuracy and effectiveness of the proposed network, achieving superior results compared to state-of-the-art methods. Ablation studies further illustrate the robustness of the proposed network. © 2010-2012 IEEE.

关键词： National security

来源：评论

学校读者我要写书评

暂无评论

Lossless Compression On-Board Remote Sensing Satellites

Lossless Compression On-Board Remote Sensing Satellites

引用

International Conference on Future Computer Science and Education (ICFCSE)

作者： Roberto Arenas Lara Yunhong Wang Laboratory of Intelligent Recognition and Image Processing Beihang University Beijing China School of Computer Science and Engineering Beihang University Beijing China

image processing on-board satellites is no longer a nice to have feature. Lossless image compression allows increasing the stored data on-board satellite and transmitting it to the ground station without losing quality of the images. An overview of development trend in this area, as well as brief state-of-the-art lossless image compression methods on-board satellites are presented in this paper.

关键词： image coding Satellites Remote sensing Transform coding Space missions Earth

来源：评论

学校读者我要写书评

暂无评论

On-line Signature Verification Based on Correlation image

On-line Signature Verification Based on Correlation Image

引用

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

作者： Hao-Ran Deng Yun-Hong Wang Intelligent Recognition and Image Processing Laboratory School of Computer Science and Engineering Beihang University Beijing 100083 China

In this paper we proposed a novel method for signature verification. Different from the conventional approaches, we suppose the sample points of the signature have some kind of correlation with each other, and the correlations contain the habitual features of the signature, which can be used to confirm the identity of the signer. In the proposed method, we first generate the matrix of the correlations of the sample points of the signature and convert the matrix into an intensity image, then use image matching approach to verify signature. The proposed method is validated on the SVC 2004 database and inspiring results are obtained.

关键词： On-Line Signature Verification Biometrics Correlation Matriz Intensity image LBP SIFT

来源：评论

学校读者我要写书评

暂无评论

Vision-based 3D occupancy prediction in autonomous driving: a review and outlook

arXiv

引用

arXiv 2024年

作者： Zhang, Yanan Zhang, Jinqing Wang, Zengran Xu, Junhao Huang, Di Laboratory of Intelligent Recognition and Image Processing School of Computer Science and Engineering Beihang University Beijing100191 China

In recent years, autonomous driving has garnered escalating attention for its potential to relieve drivers’ burdens and improve driving safety. Vision-based 3D occupancy prediction, which predicts the spatial occupancy status and semantics of 3D voxel grids around the autonomous vehicle from image inputs, is an emerging perception task suitable for cost-effective perception system of autonomous driving. Although numerous studies have demonstrated the greater advantages of 3D occupancy prediction over object-centric perception tasks, there is still a lack of a dedicated review focusing on this rapidly developing field. In this paper, we first introduce the background of vision-based 3D occupancy prediction and discuss the challenges in this task. Secondly, we conduct a comprehensive survey of the progress in vision-based 3D occupancy prediction from three aspects: feature enhancement, deployment friendliness and label efficiency, and provide an in-depth analysis of the potentials and challenges of each category of methods. Finally, we present a summary of prevailing research trends and propose some inspiring future outlooks. To provide a valuable reference for researchers, a regularly updated collection of related papers, datasets, and codes is organized at https://***/zya3d/Awesome-3D-Occupancy-Prediction. Copyright © 2024, The Authors. All rights reserved.

关键词： Vehicle-to-grid

来源：评论

学校读者我要写书评

暂无评论

FUSION OF GLOBAL AND LOCAL INFORMATION FOR AN ON-LINE SIGNATURE VERIFICATION SYSTEM

FUSION OF GLOBAL AND LOCAL INFORMATION FOR AN ON-LINE SIGNAT...

引用

2008 International Conference on Machine Learning and Cybernetics(2008机器学习与控制论国际会议)

作者： NING-NING LIU YUN-HONG WANG Intelligent Recognition and Image Processing Laboratory School of Computer Science and Engineering Beihang University Beijing 100083 China

In this paper, an on-line signature verification system exploiting local and global information using two-stage fusion is presented. At the first stage, global information is extracted as I3-dimensional vector and recognized by Majority Classifiers, and then local information is extracted as time functions of various dynamic properties and recognized by BP neural network classifier. By fusing global and local information and introducing an enhanced dynamic time warping algorithm and a normalized feature measure, our method obtained an average EER of 4.02％ on public database SVC2004( First Signature Verification Competition 2004) Task2 compared to 6.90％ the first place at SVC2004.

关键词： Biometrics online signature verification DTW algorithm two stage fusion

来源：评论

学校读者我要写书评

暂无评论

On-line signature verification using wavelet packet

On-line signature verification using wavelet packet

引用

IEEE International Joint Conference on Biometrics (IJCB)

作者： Kaiyue Wang Yunhong Wang Zhaoxiang Zhang Laboratory of Intelligent Recognition and Image Processing Beijing Key Laboratory of Digital Media Beihang University Beijing China

ISBN: (纸本)9781457713583

In this paper, we propose a novel approach for on-line signature verification using wavelet packet. Signatures are first normalized and resampled, thus they have the same number of sample points. Then, several types of local features are extracted, so that wavelet transform can be applied on them. After that, we conduct experiments to select the best local features, wavelet bases and wavelet packet settings. Also, experiments are carried out to verify the reliability and efficiency of our approach, which performs better than discrete wavelet transform and competes with the state-of-arts.

关键词： Feature extraction Discrete wavelet transforms

来源：评论

学校读者我要写书评

暂无评论

Ethnicity classification based on gait using multi-view fusion

Ethnicity classification based on gait using multi-view fusi...

引用

IEEE Computer Society Conference on Computer Vision and Pattern recognition Workshops (CVPRW)

作者： De Zhang Yunhong Wang Bir Bhanu Center for Research in Intelligent Systems University of California Riverside CA USA Intelligent Recognition and Image Processing Laboratory Beihang University Beijing China

The determination of ethnicity of an individual, as a soft biometrics, can be very useful in a video-based surveillance system. Currently, face is commonly used to determine the ethnicity of a person. Up to now, gait has been used for individual recognition and gender classification but not for ethnicity determination. This paper focuses on the ethnicity determination based on fusion of multi-view gait. Gait Energy image (GEI) is used to analyze the recognition power of gait for ethnicity. Feature fusion, score fusion and decision fusion from multiple views of gait are explored. For the feature fusion, GEI images and camera views are put together to render a third-order tensor (x; y; view). A multilinear principal component analysis (MPCA) is used to extract features from tensor objects which integrate all views. For the score fusion, the similarity scores measured from single views are combined with a weighted SUM rule. For the decision fusion, ethnicity classification is realized on each individual view first. The classification results are then combined to make the final determination with a majority vote rule. A database of 36 walking people (East Asian and South American) was acquired from 7 different camera views. The experimental results show that ethnicity can be determined from human gait in video automatically. The classification rate is improved by fusing multiple camera views and a comparison among different fusion schemes shows that the MPCA based feature fusion performs the best.

关键词： Cameras Tensile stress Biometrics Surveillance image analysis image recognition Rendering (computer graphics) Principal component analysis Feature extraction Voting

来源：评论

学校读者我要写书评

暂无评论

Pan-sharpening using weighted red-black wavelet

Pan-sharpening using weighted red-black wavelet

引用

International Conference on Pattern recognition

作者： Qingjie Liu Yunhong Wang Zhaoxiang Zhang Lining Liu Intelligent Recognition and Image Processing Lab Beijing Key Laboratory of Digital Media School of Computer Science and Engineering Beihang University Beijing China

ISBN: (纸本)9781467322164

In this paper, we propose a new method for remote sensing image pan-sharpening which is based on weighted red-black (WRB) wavelet and adaptive principal component analysis (PCA), where the adaptive PCA is used to reduce spectral distortions and the utilization of WRB wavelet is used to extract the spatial details in PAN images. To reduce the artifacts and spectral distortions in the pan-sharpened images, which were caused by the local instabilities and dissimilarities in the PAN and MS images, a local process strategy incorporating detail enhancement is introduced. The proposed method is tested on two datasets both acquired by QuickBird and compared with the existing methods. Experimental results show that our method can provide promising fused MS images at a high spatial resolution.

关键词： Principal component analysis Correlation Remote sensing Multiresolution analysis Spatial resolution Discrete wavelet transforms

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：