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1st ACM Workshop on Analysis and Retrieval of Events, Actions and Workflows in Video Streams, ACM AREA 2008, Co-located with the 2008 ACM International Conference on Multimedia, MM'08

作者： Khan, Rehanullah Stöttinger, Julian Kampel, Martin Vienna University of Technology Institute of Computer Aided Automation Pattern Recognition and Image Processing Group Favoritenstr. 9/1832 A-1040 Vienna Austria

ISBN: (纸本)9781605583181

We propose a straightforward skin detection method for online videos. To overcome varying illumination circumstances and a variety of skin colors, we introduce a multiple model approach which can be carried out independently per model. The color models are initiated by skin detection based on face detection and adapted in real time. Our approach outperforms static approaches both in precision and runtime. If we detect a face in a scene, the number of false positives can be diminished significantly. Evaluation is carried out on publicly available on-line videos showing that adaptive multiple model outperforms static methods in classification precision and suppression of false positives. Copyright 2008 ACM.

关键词： Face recognition

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PKI key generation based on iris features

PKI key generation based on iris features

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International Conference on Computer Science and Software Engineering, CSSE 2008

作者： Yazhuo, Gong Kaifa, Deng Pengfei, Shi Institute of Digital Printing University of Shanghai for Science and Technology Shanghai 200093 China Institute of Image Processing and Pattern recognition Shanghai Jiaotong University Shanghai 200240 China

ISBN: (纸本)9780769533360

In this paper, an iris feature-based PKI key generation is proposed. Contributions include a general approach for distinguishable iris feature generation and a PKI key generation mechanism. The proposed method differs from prior work of using pseudo random number to generate cryptographic keys. Thereby, a longer and more distinguishable bit-stream can be generated for PKI key generation. Experiments are performed on one iris database to verify the feasibility of the proposed method. © 2008 IEEE.

关键词： Random number generation

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High performance word level sequential and parallel coding methods and architectures for bit plane coding

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Science in China(Series F) 2008年第4期51卷 337-351页

作者： XIONG ChengYi TIAN JinWen LIU Jian College of Electronic Information Engineering South-Central University for Nationalities Wuhan 430074 China Institute of Pattern Recognition & Artificial Intelligence Key Laboratory of Education Ministry for Image Processing and Intelligent Control Huazhong University of Science & Technology Wuhan 430074 China

This paper introduced a novel high performance algorithm and VLSI architectures for achieving bit plane coding （BPC） in word level sequential and parallel mode. The proposed BPC algorithm adopts the techniques of coding pass prediction and parallel ＆ pipeline to reduce the number of accessing memory and to increase the ability of concurrently processing of the system, where all the coefficient bits of a code block could be coded by only one scan. A new parallel bit plane architecture （PA） was proposed to achieve word-level sequential coding. Moreover, an efficient high-speed architecture （HA） was presented to achieve multi-word parallel coding. Compared to the state of the art, the proposed PA could reduce the hardware cost more efficiently, though the throughput retains one coefficient coded per clock. While the proposed HA could perform coding for 4 coefficients belonging to a stripe column at one intra-clock cycle, so that coding for an NxN code-block could be completed in approximate N2/4 intra-clock cycles. Theoretical analysis and experimental results demonstrate that the proposed designs have high throughput rate with good performance in terms of speedup to cost, which can be good alternatives for low power applications.

关键词： bit plane coding high performance word-level sequential multi-word parallel

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Registration and enhancing of multispectral manuscript images

Registration and enhancing of multispectral manuscript image...

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16th European Signal processing Conference, EUSIPCO 2008

作者： Lettner, Martin Diem, Markus Sablatnig, Robert Miklas, Heinz Pattern Recognition and Image Processing Group Institute for Computer Aided Automation Vienna University of Technology 1040 Vienna Austria Institute for Slavonic Studies University of Vienna 1010 Vienna Austria

Two medieval manuscripts are recorded, investigated and analyzed by philologists in collaboration with computer scientists. Due to mold, air humidity and water the parchment is partially damaged and consequently hard to read. In order to enhance the readability of the text, the manuscript pages are imaged in different spectral bands ranging from 360 to 1000nm. A registration process is necessary for further image processing methods which combine the information gained by the different spectral bands. Therefore, the images are coarsely aligned using rotationally invariant features and an affine transformation. Afterwards, the similarity of the different images is computed by means of the normalized cross correlation. Finally, the images are accurately mapped to each other by the local weighted mean transformation. The algorithms used for the registration and results in enhancing the texts using Multivariate Spatial Correlation are presented in this paper. copyright by EURASIP.

关键词： image enhancement

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ANT colony optimization algorithm for feature selection and classification of multispectral remote sensing image

ANT colony optimization algorithm for feature selection and ...

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2008 IEEE International Geoscience and Remote Sensing Symposium - Proceedings

作者： Wen, Lintao Yin, Qian Guo, Ping Image Processing and Pattern Recognition Laboratory Beijing Normal University Beijing 100875 China School of Computer Science and Technology Beijing Institute of Technology Beijing 100081 China

ISBN: (纸本)9781424428083

In classification of multispectral remote sensing image, it is usually difficult to obtain higher classification accuracy if only consider image's spectral feature or texture feature alone. In this paper ,we presents a new approach by applying Ant Colony Optimization (ACO) algorithm to find a multi-feature vector composed of spectral and texture features in order to get a better result in the classification. The experimental results show that ACO algorithm is helpful in subset searching of the features used to multispectral remote sense image's classification. Using the combination of the spectral and texture features obtained by ACO in classification always get a better accuracy. ©2008 IEEE.

关键词： Ant colony optimization

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Ancient document analysis based on text line extraction

Ancient document analysis based on text line extraction

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作者： Kleber, Florian Sablatnig, Robert Gau, Melanie Miklas, Heinz Pattern Recognition and Image Processing Group Institute of Computer Aided Automation Vienna University of Technology 1040 Vienna Austria Institute for Slavonic Studies University of Vienna 1010 Vienna Austria

ISBN: (纸本)9781424421756

In order to preserve our cultural heritage and for automated document processing libraries and national archives have started digitizing historical documents. In the case of degraded manuscripts (e.g. by mold, humidity, bad storage conditions) the text or parts of it can disappear. The remaining parts of the text can be segmented and the ruling can be extrapolated with the a priori knowledge. Since the ruling defines the position of the text within a page, it can be used for layout analysis and as a basis for the enhancement of the readability. Furthermore, information about the scribe (hand) of the manuscript, its spatiotemporal origin can be gained by analyzing the ruling. This paper presents an algorithm for ruling estimation of Glagolitic texts based on text line extraction and is suitable for degraded manuscripts by extrapolating the baselines with the a priori knowledge of the ruling. The algorithm was tested on 30 pages of the Missale Sinaiticum and the evaluation was based on visual criteria. © 2008 IEEE.

关键词： Extrapolation

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Semi-supervised marginal discriminant analysis based on QR decomposition

Semi-supervised marginal discriminant analysis based on QR d...

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International Conference on pattern recognition

作者： Rui Xiao Pengfei Shi Institute of Image Processing and Pattern Recognition Shandong Jiaotong University

ISBN: (纸本)9781424421749

In this paper, a novel subspace learning method, semi-supervised marginal discriminant analysis (SMDA), is proposed for classification. SMDA aims at maintaining the intrinsic neighborhood relations between the data points from the same class, while maximizing the margin between the neighboring data points with different class labels. Different from traditional dimensionality reduction algorithms like linear discriminant analysis (LDA) and maximum margin criterion (MMC) which seeks only the global Euclidean structure, SMDA takes local structure of the data into account. Moreover, it is designed for semi-supervised learning which incorporates both labeled and unlabeled data points and avoids suffering the small sample size (SSS) problem. QR decomposition is then employed to find the optimal transformation which makes the algorithm scalable and more efficient. Experiments on face recognition are presented to show the effectiveness of the method.

关键词： Linear discriminant analysis Principal component analysis image analysis pattern analysis pattern recognition Semisupervised learning Face recognition Performance analysis Scattering Matrix decomposition

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A fake iris detection method based on FFT and quality assessment

A fake iris detection method based on FFT and quality assess...

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2008 Chinese Conference on pattern recognition, CCPR 2008

作者： He, Xiaofu Lu, Yue Shi, Pengfei Department of Computer Science and Technology East China Normal University Shanghai 200241 China Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University Shanghai 200240 China

ISBN: (纸本)9781424423163

In recent years, iris recognition is becoming a very active topic in both research and practical applications. However, fake iris is a potential threat there are potential threats for iris-based systems. This paper presents a novel fake iris detection method based on the analysis of 2-D Fourier spectra together with iris image quality assessment. First, image quality assessment method is used to exclude the defocused, motion blurred fake iris. Then statistical properties of Fourier spectra for fake iris are used for clear fake iris detection. Experimental results show that the proposed method can detect photo iris and printed iris effectively. ©2008 IEEE.

关键词： Biometrics

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A novel classifier for handwritten numeral recognition

A novel classifier for handwritten numeral recognition

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International Conference on Acoustics, Speech, and Signal processing (ICASSP)

作者： Ying Wen Pengfei Shi Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University China

This paper presents a novel pattern classification approach- a kernel and Bhattacharyya distance based classifier which utilizes the distribution characteristics of the samples in each class. Bhattacharyya distance in the subspace spanned by the eigenvectors which are associated with the smaller eigenvalues in each class is adopted as the classification criterion. The smaller eigenvalues are substituted by a small value threshold in such a way that the classification error in a given database is minimized. Application of the proposed classifier to the issue of handwritten numeral recognition demonstrates that it is promising in practical applications.

关键词： Handwriting recognition Kernel Covariance matrix Eigenvalues and eigenfunctions Principal component analysis pattern classification Databases Gaussian distribution Character recognition pattern recognition

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The projective equation of a circle and its application in camera calibration

The projective equation of a circle and its application in c...

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International Conference on pattern recognition

作者： Yinqiang Zheng Yuncai Liu Image Processing and Pattern Recognition Institute Shandong Jiaotong University China

ISBN: (纸本)9781424421749

In this article, we present the projective equation of a circle in a perspective view, which naturally encodes such important geometric entities as the projected circle center, the vanishing point of the normal direction of the circlepsilas supporting plane and the degenerate conic envelope spanned by the image of circular points (ICPs). Based on this projective equation, we propose an easy technique to calibrate the focal length and the extrinsic parameters of a camera merely by using one perspective view of two arbitrary coplanar circles. Unlike existing optimization algorithm, our method offers a closed form solution through simple matrix manipulation. Experimental results verify the correctness and efficiency of our proposed technique.

关键词： Equations Cameras Calibration Transmission line matrix methods Optimization methods Closed-form solution Iterative algorithms image processing pattern recognition Iterative methods

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