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检索条件"机构=Vienna University of Technology Pattern Recognition and Image Processing"

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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...

引用

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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Automated stroke ending analysis for drawing tool classification

Automated stroke ending analysis for drawing tool classifica...

引用

International Conference on pattern recognition

作者： Maria C. Vill Robert Sablatnig Pattern Recognition and Image Processing Group Institute of Computer Aided Automation University of Technology Vienna Vienna Austria

ISBN: (纸本)9781424421749

This paper proposes a drawing tool recognition method based on features calculated from the shape of stroke endings. The application for this method is to help art historians to identify the drawing tool used for a drawing. Since the style of a drawing depends on the drawing tool used, drawing tool recognition is an important step toward a style analysis. A dominant feature of a drawn stroke is its ending. Several features regarding curvature, proportions etc. are calculated out of the shape of the endings. These features are then used to classify stroke endings with a SVM classifier.

关键词： Skeleton Shape pattern recognition Art Painting image segmentation Gray-scale Joining processes image analysis pattern analysis

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Extracting key postures in a human action video sequence

Extracting key postures in a human action video sequence

引用

2008 IEEE 10th Workshop on Multimedia Signal processing, MMSP 2008

作者： Chen, Yan Wu, Qiang He, Xiangjian Du, Chunhua Yang, Jie Falculty of Information Technology University of Technology Sydney PO Box 123 Broadway NSW 2007 Australia Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University Shanghai 200240 China

ISBN: (纸本)9781424422951

Human key posture extraction from videos will benefit video storage, video retrieval, human action recognition, human behaviour understanding and so on. This paper presents an approach to select key postures from human action sequences using 2D information. There are two steps in the proposed method. Information measurement which is a kind of global feature of a frame is used to roughly find key posture candidates. Then, a body skeleton feature which is a kind of local feature is applied to select final key postures from the candidates obtained in the first step. The experiments show that the proposed method is efficient. © 2008 IEEE.

关键词： Behavioral research

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Registration and enhancing of multispectral manuscript images

Registration and enhancing of multispectral manuscript image...

引用

European Signal processing Conference (EUSIPCO)

作者： Martin Lettner Markus Diem Robert Sablatnig Heinz Miklas Pattern Recognition and Image Processing Group Vienna University of Technology Vienna Austria Institute for Slavonic Studies University of Vienna 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.

关键词： Correlation Principal component analysis Remote sensing Cameras Eigenvalues and eigenfunctions Europe Signal processing

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A Portable High Resolution Imaging System for Digitizing Large-Surface Paintings

A Portable High Resolution Imaging System for Digitizing Lar...

引用

Congress on image and Signal processing, CISP

作者： Florian Kleber Robert Sablatnig Pattern Recognition and Image Processing Group Institute for Computer Aided Automation University of Technology Vienna Austria

Digitizing large-surface paintings at a high resolution in museums is necessary in the field of painting conservation to document the actual condition of paintings (e.g. colour measurements) and for analysis (e.g. to analyse underdrawings in high-resolution infrared images). Hence, this paper presents a portable system that is able to scan large-surface paintings or images to provide high-resolution digital images. Additional a 3D-model of the surface of the scanned object is generated. The purpose of the 3D-model is to use the 3D-information to create a planar representation of a once planar painting or image that was deformed through environmental effects. Otherwise uncorrected images lead to blurring in the overlap region of the blended subimages. The resolution of the final image is up to 33 pixel/mm and the size of the scanned object is up to 1.5 m x 1.3 m.

关键词： High-resolution imaging Painting Cameras Hardware image resolution image analysis Digital images Fasteners image processing pattern analysis

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Ancient document analysis based on text line extraction

Ancient document analysis based on text line extraction

引用

International Conference on pattern recognition

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

ISBN: (纸本)9781424421749

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.

关键词： Text analysis Degradation Algorithm design and analysis image segmentation image analysis Spatiotemporal phenomena Information analysis Data mining Software libraries Clustering algorithms

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Extraction of complex wavelet features for iris recognition

Extraction of complex wavelet features for iris recognition

引用

作者： He, Xiaofu 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)9781424421756

This paper presents a new feature extraction method for iris recognition. Since two dimensional complex wavelet transform (2D-CWT) does not only keep wavelet transform's properties of multiresolution decomposition analysis and perfect reconstruction, but also adds its new merits: approximate shift invariance, good directional selectivity for 2-D image, and limited redundancy, which are useful for iris feature extraction. So, a set of high frequency 2D-CWT coefficients are selected as features for iris recognition. The phase information of the coefficients is used for feature encoding and Hamming distance is adopted for classification. Experimental results show that the proposed algorithm can get good recognition rate. © 2008 IEEE.

关键词： Hamming distance

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Contrast Enhancement in Multispectral images by Emphasizing Text Regions

Contrast Enhancement in Multispectral Images by Emphasizing ...

引用

IAPR International Workshop on Document Analysis Systems, DAS

作者： Martin Lettner Florian Kleber Robert Sablatnig Heinz Miklas Pattern Recognition and Image Processing Group Institute for Computer Aided Automation University of Technology Vienna Vienna Austria Institute for Slavonic Studies University of Technology Vienna Vienna Austria

This paper deals with the enhancement of the readability in historic texts written on parchment. Due to mold, air, humidity, water, etc. parchment and text are 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 1000 nm. The readability enhancement is based on a spectral and spatial analysis of the multivariate image data by multivariate spatial correlation. The main advantage of the method is that especially the text regions are enhanced which is provided by generating a mask image. This mask is based on the automatic reconstruction of the ruling scheme of the text pages. The method is tested on two medieval Slavonic manuscripts written on parchment.

关键词： Multispectral imaging Principal component analysis Degradation image analysis Humidity Spectral analysis Hyperspectral imaging Text analysis pattern analysis pattern recognition

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Subspace analysis methods plus motion history image for human action recognition

Subspace analysis methods plus motion history image for huma...

引用

Digital image Computing: Techniques and Applications, DICTA 2008

作者： Du, Chunhua Wu, Qiang Yang, Jie He, Xiangjian Chen, Yan School of Computing and Communications University of Technology Sydney Sydney PO Box 123 Broadway 2007 Australia Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University Shanghai 200240 P.R. China

ISBN: (纸本)9780769534565

This paper proposes a new human action recognition method which deals with recognition task in a quite different way when compared with traditional methods which use sequence matching scheme. Our method compresses a sequence of an action into a Motion History image (MHI) on which low-dimensional features are extracted using subspace analysis methods. Unlike other methods which use a sequence consisting of several frames for recognition, our method uses only a MHI per action sequence for recognition. Obviously, our method avoids the complexity as well as the large computation in sequence matching based methods. Encouraging experimental results on a widely used database demonstrate the effectiveness of the proposed method. © 2008 IEEE.

关键词： Motion analysis

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An Evaluation of Low Cost Scanning versus Industrial 3D Scanning Devices

An Evaluation of Low Cost Scanning versus Industrial 3D Scan...

引用

Congress on image and Signal processing, CISP

作者： Miha Drenik Martin Kampel Faculty of Computer and Information Science University of Ljubljana Ljubljana Slovenia Pattern Recognition and Image Processing Group Technical University of of Vienna Vienna Austria

This paper presents an evaluation of two different 3D scanning devices. They can be put into operation depending on the monetary constraints of the user on one hand, and the accuracy needed for a specific application on the other hand. The setting up of the systems and the process of scanning with the devices are presented. Two setups were formed to evaluate the capabilities of a low costs scanning device together with industrial scanning devices. A comparison of the scans obtained was made by using a Konica Minolta VI-9i industrial scanning solution as a reference. The analysis comprises the estimation of surface flatness, the evaluation of measuring of geometric shapes, and the appraisal of the time required for obtaining a virtual 3D representation of a scanned object. The results show that both the curves as well as the shapes as a whole have been captured accurately.

关键词： Costs Shape measurement Application software Feeds Signal processing Computer industry Information science pattern recognition image processing Time measurement

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