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Oriented Gradient Maps based automatic asymmetric 3D-2D face recognition

Oriented Gradient Maps based automatic asymmetric 3D-2D face...

引用

IAPR International Conference on Biometrics (ICB)

作者： Di Huang Mohsen Ardabilian Yunhong Wang Liming Chen CNRS Ecole Centrale de Lyon LIRIS UMR5205 Université de Lyon Lyon France Laboratory of Intelligent Recognition and Image Processing Beijing Key Laboratory of Digital Media School of Computer Science and Engineering Beihang University Beijing China

Recently, asymmetric 3D-2D face recognition has been paid increasing attention. It enrolls in textured 3D faces and performs identification using only 2D facial images, therefore it generally achieves a better result than 2D algorithms do, and avoids inconvenience of data acquisition and computation of 3D methods as well. In this paper, a biological vision-based facial representation, namely Oriented Gradient Maps (OGMs), is introduced for such an application. It simulates the response of complex neurons to gradient information within a pre-defined neighborhood, and thus can describe local texture changes of 2D faces and local geometry variations of 3D faces at the same time. Due to its property of being highly distinctive, these OGMs improve accuracies of both matching steps of asymmetric face recognition, i.e. (1) 3D-2D matching using Canonical Correlation Analysis (CCA); (2) 2D-2D matching using LBP histogram based features and Sparse Representation Classifier (SRC). Some comparative experiments are carried out on the complete FRGC v2.0 database, and the achieved results clearly highlight the effectiveness of the biological vision-based facial description and its successful application to asymmetric face recognition.

关键词： Face Face recognition Principal component analysis Three dimensional displays Histograms Neurons Probes

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Hierarchical and discriminative bag of features for face profile and ear based gender classification

Hierarchical and discriminative bag of features for face pro...

引用

2011 International Joint Conference on Biometrics, IJCB 2011

作者： Zhang, Guangpeng Wang, Yunhong Laboratory of Intelligent Recognition and Image Processing School of Computer Science and Engineering Beihang University Beihang 100191 China

ISBN: (纸本)9781457713583

Gender is an important demographic attribute of human beings, automatic face based gender classification has promising applications in various fields. Previous methods mainly deal with frontal face images, which in many cases can not be easily obtained. In contrast, we concentrate on gender classification based on face profiles and ear images in this paper. Hierarchical and discriminative bag of features technique is proposed to extract powerful features which are classified by support vector classification (SVC) with histogram intersection kernel. With the output of SVC, fusion of multi-modalities is performed at the score level based on Bayesian analysis to improve the accuracy. Experiments are conducted using texture images of the UND biometrics data sets Collection F, and average classification accuracy of 97.65% is achieved, which is comparable to the state of the art. Our work can be used in cooperate with existing frontal face based methods for accurate multi-view gender classification. © 2011 IEEE.

关键词： Classification (of information)

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Lossless compression on-board remote sensing satellites

Lossless compression on-board remote sensing satellites

引用

2011 International Conference on Future Computer Science and Education, ICFCSE 2011

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

ISBN: (纸本)9780769545332

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. © 2011 IEEE.

关键词： Remote sensing

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A traffic flow detection system combining optical flow and shadow removal

A traffic flow detection system combining optical flow and s...

引用

2011 3rd Chinese Conference on intelligent Visual Surveillance, IVS 2011

作者： Zhang, Zhaoxiang Hou, Yuqing Wang, Yunhong Qin, Jie Laboratory of Intelligent Recognition and Image Processing Beijing Key Laboratory of Digital Media Beihang University Beijing China

ISBN: (纸本)9781457718311

Traffic flow detection plays an important role in intelligent Transportation Systems(ITS). Video based traffic flow detection system is the most widely used strategy in ITS. Under this circumstance, we design and implement a video based traffic flow detection system which is called MyTD in this paper. MyTD takes advantages of both shadow removal and optical flow algorithms. Firstly, we introduce the current development of ITS and focus on the video based traffic detection technology, which is the key to ITS. Secondly, a shadow removal algorithm combining information in both RGB and HSV color spaces is proposed. Thirdly, based on the Iterative Pyramidal LK Optical Flow Algorithm, a vehicle tracking function is realized by OpenCV, as well as a Connected Components labeling function and the vehicle counting function. Finally, MyTD is implemented and tested based on the algorithm presented above. Experimental results show the outstanding performance of our method comparing with traditional optical flow algorithms. © 2011 IEEE.

关键词： Optical flows

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Face synthesis from near-infrared to visual light via sparse representation

Face synthesis from near-infrared to visual light via sparse...

引用

2011 International Joint Conference on Biometrics, IJCB 2011

作者： Zhang, Zeda Wang, Yunhong Zhang, Zhaoxiang Laboratory of Intelligent Recognition and Image Processing School of Computer Science and Engineering Beihang University Beijing 100191 China

ISBN: (纸本)9781457713583

This paper presents a novel method for synthesizing artificial visual light (VIS) face images from near-infrared (NIR) inputs. Active NIR imaging is now widely employed because it is unobtrusive, invariant of environmental illuminations, and can penetrate glasses and sweats. Unfortunately, NIR imaging exhibits discrepant photic properties compared with VIS imaging. Based on recent results of research on compressive sensing, natural images can be compressed and recovered with an overcomplete dictionary by sparse representation coefficients. In our approach a pairwise dictionary is trained from randomly sampled coupled face patches, which contains sparse coded base functions to reconstruct representation coefficients via l1-minimization. We will demonstrate that this method is robust to moderate pose and expression variations, and is efficient in computing. Comparative experiments are conducted with state-of-the-art algorithms. © 2011 IEEE.

关键词： Infrared devices

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On-line signature verification using wavelet packet

On-line signature verification using wavelet packet

引用

2011 International Joint Conference on Biometrics, IJCB 2011

作者： Wang, Kaiyue Wang, Yunhong Zhang, Zhaoxiang Laboratory of Intelligent Recognition and Image Processing Beijing Key Laboratory of Digital Media Beihang University Beijing 100191 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. © 2011 IEEE.

关键词： Discrete wavelet transforms

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Visual saliency based aerial video summarization by online scene classification

Visual saliency based aerial video summarization by online s...

引用

International Conference on image and Graphics

作者： Wang, Jiewei Wang, Yunhong Zhang, Zhaoxiang Laboratory of Intelligent Recognition and Image Processing Beihang University Beijing China State Key Laboratory of Virtual Reality Technology and Systems Beihang University Beijing China

ISBN: (纸本)9780769545417

Compared with traditional video summarization approaches, aerial video summarization is a new and challenging issue for its particular characteristics. Aerial video data is a massive data stream, without pre-edit structures such as sports or news video data, lack of camera motion such as zoom and pan. On account of these characteristics, we proposed a novel approach for summarization. First, we extract GIST features for each frame as the holistic scene representation. Then, we divide aerial video into temporal segments representing a visual scene using on-line clustering method by examine GIST features of each frame only once. Finally, we select several key frames from each scene for summarization according to visual saliency index (VSI) of each frame computed from their visual saliency map. In the paper, we proposed new criterion for estimation of temporal segmentation of streaming video. Experimental observations show the success of our approach on aerial video summarization. © 2011 IEEE.

关键词： Antennas

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Lossless Compression On-Board Remote Sensing Satellites

Lossless Compression On-Board Remote Sensing Satellites

引用

2011 International Conference on Future Computer Science and Education（ICFCSE 2011）

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

关键词： Lossless compression image processing on-board satellite remote sensing

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Lossless Compression On-Board Remote Sensing Satellites

Lossless Compression On-Board Remote Sensing Satellites

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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

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

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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

关键词： Feature extraction Discrete wavelet transforms

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