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Cross Validation and Segment Support for Stereo Belief Propagati

Cross Validation and Segment Support for Stereo Belief Propa...

引用

International conference on pattern recognition

作者： M. Evans J. Ferryman Computational Vision Group School of Systems Engineering University of Reading Reading UK

Typically, algorithms for generating stereo disparity maps have been developed to minimise the energy equation of a single image. This paper proposes a method for implementing cross validation in a belief propagation optimisation. When tested using the Middlebury online stereo evaluation, the cross validation improves upon the results of standard belief propagation. Furthermore, it has been shown that regions of homogeneous colour within the images can be used for enforcing the so-called "segment constraint". Developing from this, segment support is introduced to boost belief between pixels of the same image region and improve propagation into textureless regions

关键词： Image segmentation Pixel Belief propagation Costs Markov random fields computer vision Power engineering and energy Systems engineering and theory Equations Optimization methods

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An LBP-Based Active Contour Algorithm for Unsupervised Texture Segmentation

An LBP-Based Active Contour Algorithm for Unsupervised Textu...

引用

International conference on pattern recognition

作者： M.A. Savelonas D.K. Iakovidis D.E. Maroulis Department of Informatics and Telecommunication University of Athens (NKUA) Greece

ISBN: (纸本)0769525210

This paper presents a novel algorithm for unsupervised texture segmentation. The proposed algorithm incorporates the local binary pattern operator under a segmentation framework based on the active contour without edges model. The experiments performed, show that it can be used for fast segmentation of two-textured images, outperforming recent texture segmentation algorithms, with a segmentation quality that reaches 99% on average

关键词： Active contours Image segmentation Image edge detection Level set Informatics computer vision Biomedical imaging Image texture analysis Image retrieval Remote sensing

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Type-2 Fuzzy Markov Random Fields to Handwritten Character recognition

Type-2 Fuzzy Markov Random Fields to Handwritten Character R...

引用

International conference on pattern recognition

作者： Jia Zeng Zhi-Qiang Liu School of Creative Media City University of Hong Kong Hong Kong China

ISBN: (纸本)0769525210

This paper integrates Markov random fields (MRFs) with type-2 fuzzy sets (T2 FSs) referred to as T2 FMRFs, which can handle the fuzziness of the labeling space as well as the randomness of observations within the unified framework. Because fuzzy and random uncertainties exist in many computer vision problems, we extend the maximum a posteriori (MAP) criterion for the best labeling configuration by T2 FSs operations. We apply T2 FMRFs as character models to similar handwritten Chinese character recognition on ETL-9B and KAIST databases. Experimental results show that T2 FMRFs have a better classification and generalization ability for similar patterns than classical MRFs

关键词： Markov random fields Character recognition Labeling Frequency selective surfaces Uncertainty computer vision Equations Visual perception Random media Fuzzy sets

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Contrast Context Histogram - A Discriminating Local Descriptor for Image Matching

Contrast Context Histogram - A Discriminating Local Descript...

引用

International conference on pattern recognition

作者： Chun-Rong Huang Chu-Song Chen Pau-Choo Chung Institute of Information Science Academia Sinica Taipei Taiwan Department of Electrical Engineering National Engineering Kung University Tainan Taiwan

This paper presents a new invariant local descriptor, contrast context histogram, for image matching. It represents the contrast distributions of a local region, and serves as a local distinctive descriptor of this region. Object recognition can be considered as matching salient corners with similar contrast context histograms on two or more images in our work. Our experimental results show that the developed descriptor is accurate and efficient for matching

关键词： Histograms Image matching Object recognition Layout Nonlinear filters Lighting Information science Shape computer vision Robustness

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Understanding Human Behavior Using a Language Modeling Approach

Understanding Human Behavior Using a Language Modeling Appro...

引用

International conference on Intelligent Information Hiding and Multimedia Signal Processing (IIHMSP)

作者： Yu-ming Liang Sheng-wen Shih Arthur Chun-chieh Shih Hong-yuan Mark Liao Department of Computer Sciene National Chiao Tung University HsinChu Taiwan Department of Computer Science and Information Engineering National Chi Nan University Puli Taiwan Institute of Information Science Academia Sinica Taipei Taiwan

Visual analysis of human behavior has generated considerable interest in the field of computer vision because of the wide spectrum of potential applications. In this paper, we present a language modeling framework for understanding human behavior. The proposed framework consists of two modules: the key posture selection module, and the variable-length Markov model (VLMM) behavior recognition module. A key posture selection algorithm is developed based on the shape context matching technique. A codebook is then constructed with the computed key postures and used to convert input image sequences into training symbol sequences or recognition symbol sequences. Finally, a VLMM is applied to learn and recognize the constructed symbol sequences corresponding to human behavior patterns. Experiments on real data demonstrate the efficacy of the proposed system.

关键词： Humans Hidden Markov models computer vision pattern recognition Signal processing algorithms Application software Shape Image converters Image sequences Image recognition

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An Intelligent Bulletin Board System with Real-time vision-based Interaction Using Head Pose Estimation

An Intelligent Bulletin Board System with Real-time Vision-b...

引用

International conference on pattern recognition

作者： Cheng-Yu Chang Pau-Choo Chung Yu-Sheng Yeh Jar-Ferr Yang Department of Electrical Engineering National Engineering Kung University Tainan Taiwan National Cheng Kung University Tainan TW Institute of Computer and Communication Engineering National Engineering Kung University Tainan Taiwan

ISBN: (纸本)0769525210

A bulletin board is a place where people can read announcements, posters or leave public messages. However, traditional bulletin board certainly have several disadvantages such like without real-time interaction with users and monotonous. This paper presents an intelligent bulletin board system (iBBS), which allows a user to real-time interact with it without any additional auxiliaries. At first, a real-time front-view face detection using Harr-like features is used to decide when iBBS should wake up and become interactive with the user. After system initialization, we keep on finding some feature points within the detected face area. Then we estimate the orientation of user's head via pyramidal Lucas-Kanade optical flow tracking. Compared to the traditional bulletin board system, our system has more flexibility. With the comparison to other non-vision-based input devices such like gloves or markers, our system offers a simple, useful and economical solution for the real-time interaction between the user and computer

关键词： Intelligent systems Real time systems Face detection computer vision Image motion analysis IEEE news Magnetic heads Human computer interaction Environmental economics computer interfaces

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recognition of English Multi-oriented Characters

Recognition of English Multi-oriented Characters

引用

International conference on pattern recognition

作者： U. Pal F. Kimura K. Roy T. Pal CVPR Unit Indian Statistical Institute Kolkata India Faculty of Engineering Mie University Tsu Mie Japan

ISBN: (纸本)0769525210

There are some printed artistic documents where text lines may be curved in shape. As a result, characters of a single line may be multi-oriented. To handle such artistic documents, in this paper, we present a scheme towards the recognition of multi-oriented and multi-sized English characters. The features used here are invariant to character orientation and computed based on the angular information of the border points of the characters. We used modified quadratic discriminant function (MQDF) for recognition. We tested our proposed scheme on a dataset of 18232 characters and obtained 98.34% accuracy from the system

关键词： Character recognition Shape Frequency pattern recognition System testing Fourier transforms Engineering drawings Optical character recognition software Text recognition computer vision

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Real-time Image-Based Guidance Method for Lung-Cancer Assessment

Real-time Image-Based Guidance Method for Lung-Cancer Assess...

引用

conference on computer vision and pattern recognition (CVPR)

作者： L. Rai S.A. Merritt W.E. Higgins Department of Computer Science and Engineering Pennsylvania State University University Park PA USA Department of Electrical Engineering Pennsylvania State University University Park PA USA Department of Computer Science and Engineering Department of Electrical Engineering Pennsylvania State University University Park PA USA

The assessment of lung cancer involves off-line threedimensional (3D) computed-tomography (CT) image assessment followed by live bronchoscopy. While standard bronchoscopy provides live video of information inside the lung airways, it does not give any information outside the airways. This results in a low procedure success rate. The success rate can be improved if the physician receives 3D CT-based image guidance. We describe a fast robust method that provides 3D CT-based image guidance during live bronchoscopy. The method enables a continuous registration between the 3D CT image space and the real bronchoscopic video. At a top level, it involves an interleaving of continuous video tracking and CT-video fine registration. During video tracking, the bronchoscope’s 3D motion is estimated using a point-based 3D-2D pose estimation method. Registration is performed via a warpingbased Gauss-Newton method that uses a normalized crosscorrelation- based cost for measuring similarity between the bronchoscopic video and CT image data. The method operates at a real-time rate of 10 frames per second, which is over an order of magnitude faster than past approaches. This real-time performance enables live guidance during a procedure. The method is incorporated into a computerbased system for image-guided bronchoscopy and has been applied to human lung-cancer patients. Results are presented for a phantom and lung-cancer patients. Keywords: 3D medical imaging, video tracking, image registration, virtual endoscopy, image-guided surgery

关键词： Bronchoscopy Computed tomography Lungs Motion estimation Cancer Robustness Interleaved codes Tracking Performance evaluation Newton method

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An Invariant Approach for Image recognition

An Invariant Approach for Image Recognition

引用

Electronics, Robotics and Automotive Mechanics conference

作者： Erick Zuniga-Segura Guillermo Sanchez-Diaz Center of Technologies Research on Information and System Universidad Autonoma del Estado de Hidalgo Pachuca Mexico

ISBN: (纸本)9780769525693;0769525695

Shape-of-object representation has always been an important topic in image processing and pattern recognition. This work deals with representation of shape of objects, and approaches to recognize objects. Several invariant techniques are widely used to represent an object because they preserve information and allow considerable data reduction. In this paper, a new approach based on a code representation and testor theory is presented. The proposed method is invariant under translation, scaling and rotation. Also, the paper discusses the capabilities of the method in recognizing objects. In addition, results using simple figures classes are show

关键词： Image recognition Shape pattern recognition computer vision Image processing Machine vision Logic testing Machine learning Image representation Application software

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Augmented Lagrangian Approach for Projective Reconstruction from Multiple Views

Augmented Lagrangian Approach for Projective Reconstruction ...

引用

International conference on pattern recognition

作者： F. Mai Y.S. Hung Department of Electrical and Electronic Engineering University of Hong Kong Hong Kong China

ISBN: (纸本)0769525210

In this paper, we propose a new factorization-based algorithm for projective reconstruction by minimizing the 2D reprojection error in multiple images. Reformulating the projective reconstruction problem into a constrained minimization one, we estimate the projective depths, the projection matrix and the projective motion together by the solving a sequence of unconstrained minimization problems using the augmented Lagrangian method. The proposed algorithm is ready to handle missing data and it is guaranteed to converge more robustly and rapidly than the algorithm of Hung and Tang (2006)

关键词： Lagrangian functions Image reconstruction Cameras Minimization methods Robustness Convergence Noise shaping Motion estimation Image converters computer vision

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