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检索条件"任意字段=2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005"

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Level set estimation via trees

Level set estimation via trees

引用

2005 ieee International conference on Acoustics, Speech, and Signal Processing, ICASSP '05

作者： Willett, Rebecca Nowak, Robert Department of Electrical and Computer Engineering University of Wisconsin 1415 Engineering Drive Madison WI 53706 United States

ISBN: (纸本)0780388747

Tree-structured partitions provide a natural framework for rapid and accurate extraction of the level sets of a multivariate function f from noisy data. In general, a level set is the set S on which f exceeds some critical value (e.g., S = {x : f(x) ≥ γ}). Boundaries of level sets typically constitute manifolds embedded in the high-dimensional observation space. The identification of these boundaries is an important theoretical problem with applications for digital elevation maps, medical imaging, and pattern recognition. Because level set identification is intrinsically simpler than field denoising or estimation, explicit level set extraction methods can achieve higher accuracy than more indirect approaches (such as extracting a level set from an estimate of the function). The trees underlying our method are constructed by minimizing a complexity regularized data-fitting term over a family of dyadic partitions. Our method automatically adapts to spatially varying regularity of both the level set and the field underlying the data. Level set extraction using multiresolution trees can be implemented in near linear time and specifically aims to minimize an error metric sensitive to both the error in the location of the level set and the associated field estimation error. © 2005 ieee.

关键词： Trees (mathematics)

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An iterative hybrid method for image interpolation

An iterative hybrid method for image interpolation

引用

International conference on Intelligent Computing, ICIC 2005

作者： Tian, Yan Zhang, Caifang Peng, Fuyuan Zheng, Sheng Electronic and Information Engineering Department Huazhong University of Science and Technology 1037 Luoyu Road Wuhan 430074 China Institute for Pattern Recognition and Artificial Intelligent Huazhong University of Science and Technology 1037 Luoyu Road Wuhan 430074 China

ISBN: (纸本)9783540282266

An iterative hybrid interpolation method is proposed in this study, which is an integration of the bilinear and the bi-cubic interpolation methods and implemented by an iterative scheme. First, the implement procedure of the iterative hybrid interpolation method is described. This covers (a) a low resolution image is interpolated by using the bilinear and the bi-cubic interpolators respectively;(b) a hybrid interpolated result is computed according to the weighted sum of both bilinear interpolation result and bi-cubic interpolation result and (c) the final interpolation result is obtained by repeating the similar steps for the successive two hybrid interpolation results by a recursive manner. Second, a further discussion on the method - the relation between hybrid parameter and details of an image is provided from the theoretical point of view, at the same time, an approach used for the determining of the parameter is proposed based on the analysis of error parameter curve. Third, the effectiveness of the proposed method is verified based on the experimental study. © Springer-Verlag Berlin Heidelberg 2005.

关键词： Image processing

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Proceedings of the 2004 ieee computer society conference on computer vision and pattern recognition

Proceedings of the 2004 IEEE Computer Society Conference on ...

引用

conference on computer vision and pattern recognition (cvpr)

The following topics are dealt with: image restoration of curved document images; image segmentation based stereo matching sequence using graph cuts; wavelet based hierarchial surface approximation using local feature subset selection; similarity measure and learning with Gray level aura matrices (GLAM) for texture image retrieval; 3D geometry models coding and morphing for efficient video compression; robust colour object detection using joint probability functions; generalized hidden Markov model; skew Gabor filter in source signal separation and local spectral analysis; motion estimation with optimization; Gibbs maximum likelihood estimation.

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Relevance Feedback Methods in Content Based Retrieval and Video Summarization

Relevance Feedback Methods in Content Based Retrieval and Vi...

引用

ieee International conference on Multimedia and Expo (ICME)

作者： M. Haas A. Oerlemans M.S. Lew LIACS Media Lab Leiden University Netherlands

In the current state-of-the-art in multimedia content analysis (MCA), the fundamental techniques are typically derived from core pattern recognition and computer vision algorithms. It is well known that completely automatic pattern recognition and computer vision approaches have not been successful in being robust and domain independent so we should not expect more from MCA algorithms. The exception to this would naturally be methods which are human-interactive or not automatic. In this paper, we describe some of the recent work we have done in multimedia content analysis across multiple domains where the fundamental technique is founded in interactive search. Our novel algorithm integrates our previous work from wavelet based salient points and genetic algorithms and shows that the main contribution and improvement is from the user feedback provided by the interactive search

关键词： Content based retrieval pattern recognition computer vision Radio frequency Negative feedback Genetic algorithms Iterative algorithms pattern analysis Algorithm design and analysis Robustness

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A rapid iris location method based on the structure of human eyes

A rapid iris location method based on the structure of human...

引用

2005 27th Annual International conference of the Engineering in Medicine and Biology society, ieee-EMBS 2005

作者： Yuan, Weiqi Lin, Zhonghua Xu, Lu Computer Vision Group Shenyang University of Technology Shenyang 110023 China Box.29 Nan Shisan Road Tiexi District Shenyang City 110023 China

ISBN: (纸本)0780387406

Iris location is an important part of iris recognition. Speed of location and robustness of arithmetic of location are factors which we must pay attention to especially. In this paper we analyse eye images that we have based on structure characteristics of eyes, we put forward a rapid iris location arithmetic. Firstly, we get an approximative center by gray projection, we get two points that locate at left and right boundary by threshold value respectively, and we get a point that locates at the lower boundary by direction edge detection operators, then we can ensure the boundary of pupil and probable center. Secondly, we get exact pupil boundary and center by Hough transform that is processed at a small scope surrounding the probable center. Thirdly, we search two points that locate at left and right boundaries between iris and sciera along horizontal direction by using the exact center and direction edge detection operators. Then we ensure the horizontal coordinate of the center of iris based on the above two point accurately. Finally, we search two points that locate at upper and lower boundaries between iris and sciera beginning at the horizontal coordinate of the center of iris along the directions that making plus and minus thirty angles between horizontal direction respectively by using direction edge detection opertors, so we ensure the coordinate of the center of iris and the boundary between iris and sciera. The experiments indicate that this method reaches about zero point two second at speed and percentage of ninty nine point forty five at precision. This method is faster than existing methods at speed. © 2005 ieee.

关键词： Eye movements

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Combining multiple evidence for video classification

Combining multiple evidence for video classification

引用

2nd International conference on Intelligent Sensing and Information Processing, ICISIP'05

作者： Suresh, Vakkalanka Mohan, C. Krishna Kumaraswamy, R. Yegnanarayana, B. Speech and Vision Laboratory Department of Computer Science and Engineering Indian Institute of Technology Madras Chennai-600 036 India

ISBN: (纸本)0780388402

In this paper, we investigate the problem of video classification into predefined genre, by combining the evidence from multiple classifiers. It is well known in the pattern recognition community that the accuracy of classification obtained by combining decisions made by independent classifiers can be substantially higher than the accuracy of the individual classifiers. The conventional method for combining individual classifiers weighs each classifier equally (sum or vote rule fusion). In this paper, we study a method that estimates the performances of the individual classifiers and combines the individual classifiers by weighing them according to their estimated performance. We demonstrate the efficacy of the performance based fusion method by applying it to classification of short video clips (20 seconds) into six popular TV broadcast genre, namely cartoon, commercial, news, cricket, football, and tennis. The individual classifiers are trained using different spatial and temporal features derived from the video sequences, and two different classifier methodologies, namely Hidden Markov Models (HMMs) and Support Vector Machines (SVMs). The experiments were carried out on more than 3 hours of video data. A classification rate of 93.12% for all the six classes and 97.14% for sports category alone has been achieved, which is significantly higher than the performance of the individual classifiers. ©2005 ieee.

关键词： Image processing

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Investigation on traditional and modern ceramic documentation

Investigation on traditional and modern ceramic documentatio...

引用

ieee International conference on Image Processing

作者： M. Kampel H. Mara R. Sablatnig Pattern Recognition and Image Processing Group Institute of Computer Aided Automation University of Technology Vienna Vienna Austria

Archaeology is at a point where it can benefit greatly from the application of computer vision methods, and in turn provides a large number of new, challenging and interesting conceptual problems and data for computer science. This is true in particular in the study of ceramics - the most abundant and widespread of all archaeological finds. The traditional way of documenting archaeological sherds is to draw the profile line, which is the intersection of a sherd along the axis of symmetry. A profilograph is a mechanical device, which can directly acquire and transfer a profile line by pin-pointing the profile on a sherd to a computer. We developed a fully automated vision system, which is able to compute the profile line out of the acquired 3D model of the fragment. In this paper we want to give a thorough comparison between the traditional manual approach, the profilograph and our system and present an improvement of the robustness of our approach by finding circular rills on the fragments. Practical experiments have been undertaken at the excavation Tel Dor in Israel.

关键词： Ceramics Documentation computer vision Pins pattern recognition Image processing Automation Application software computer science Machine vision

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Threshold Finite State Machine for vision Based Gesture recognition

Threshold Finite State Machine for Vision Based Gesture Reco...

引用

ieee India conference (INDICON)

作者： M.K. Bhuyan D. Ghosh P.K. Bora Department of Electronics and Communication Engineering Indian Institute of Technology Guwahati India

vision-based hand gesture recognition is a popular research topic for human-computer interaction (HCI). Gestures provide a rich and intuitive form of interaction for controlling robots. We have earlier developed a gesture model as a sequence of key frames each bearing information about its duration. These constitute a finite state machine (FSM). In this paper we propose a threshold based FSM by incorporating some additional features in the FSM. These additional features are in terms of different thresholds. These new features greatly enhance the gesture recognition accuracy. We get recognition rate of about 96%, which demonstrate that our proposed threshold FSM is ideal for Human computer Interaction (HCI) platform.

关键词： Automata Human computer interaction Character recognition Robot control pattern recognition Keyboards Mice Human robot interaction Machine vision Robot vision systems

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Gender identification using frontal facial images

Gender identification using frontal facial images

引用

ieee International conference on Multimedia and Expo (ICME)

作者： A. Jain J. Huang S. Fang Department of Computer and Information Sciences Indiana University-Purdue University Indianapolis IN USA

computer vision and pattern recognition systems play an important role in our lives by means of automated face detection, face and gesture recognition, and estimation of gender and age. This paper addresses the problem of gender classification using frontal facial images. We have developed gender classifiers with performance superior to existing gender classifiers. We experiment on 500 images (250 females and 250 males) randomly withdrawn from the FERET facial database. Independent component analysis (ICA) is used to represent each image as a feature vector in a low dimensional subspace. Different classifiers are studied in this lower dimensional space. Our experimental results show the superior performance of our approach to the existing gender classifiers. We get a 96% accuracy using support vector machine (SVM) in ICA space.

关键词： Face detection Independent component analysis computer vision pattern recognition Neural networks Humans Image representation Image recognition Support vector machines Support vector machine classification

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Line-based landmark recognition for self-localization of soccer robots

Line-based landmark recognition for self-localization of soc...

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International conference on Emerging Technologies, ICET

作者： A. Baist R. Sablatnig G. Novak Pattern Recognition and Image Processing Group Vienna University of Technology Vienna Austria Institute of Computer Technology Vienna University of Technology Vienna Austria

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