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Edge-preserving single image super-resolution 11

Edge-preserving single image super-resolution

引用

19th ACM International Conference on Multimedia ACM Multimedia 2011, MM'11

作者： Zhou, Qiang Chen, Shifeng Liu, Jianzhuang Tang, Xiaoou Shenzhen Key Laboratory for Computer Vision and Pattern Recognition Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences China Department of Information Engineering Chinese University of Hong Kong Hong Kong

ISBN: (纸本)9781450306164

This paper proposes a novel approach to single image super-resolution. First, an image up-sampling scheme is proposed which takes the advantages of both bilateral filtering and mean shift image segmentation. Then we use a shock filter to enhance strong edges in the initial up-sampling result and obtain an intermediate high-resolution image. Finally, we enforce a reconstruction constraint on the high-resolution image so that fine details can be inferred by back projection. Since strong edges in the intermediate result are enhanced, ringing artifacts can be suppressed in the back projection step. We compare our algorithm with several state-of-the-art image super-resolution algorithms. Qualitative and quantitative experimental results demonstrate that our approach performs the best. Copyright 2011 ACM.

关键词： Image segmentation

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Cage-based tree deformation

引用

Lecture Notes in computer Science

作者： Zhu, Chao Meng, Weiliang Wang, Yinghui Zhang, Xiaopeng Sino-French Laboratory LIAMA CAS Institute of Automation Beijing China National Laboratory of Pattern Recognition CAS Institute of Automation Beijing China Department of Computer Science and Engineering Xi'an University of Technology Xi'an China

ISBN: (纸本)9783642234552

Tree models are broadly used in multimedia applications, but it is a challenge task to deform trees with plenty of branches. We propose a novel method to deform the tree model interactively using cages based on trees' property, and we design a framework to control the hierarchy deformation of trees. The bounding box of the trunk is used as the global control cage, while the bounding boxes of branches are set as local cages. The linear combination of mean value coordinates computed from local cages and the global cage decides the vertices deformed positions of the deformed tree. This framework is straightforward and effective, which could also preserve local details of the tree. Experimental results show that our technique is suitable for deforming trees with many branches. © 2011 Springer-Verlag.

关键词： Deformation

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Automatic object segmentation from large scale 3D urban point clouds through manifold embedded mode seeking 11

Automatic object segmentation from large scale 3D urban poin...

引用

19th ACM International Conference on Multimedia ACM Multimedia 2011, MM'11

作者： Yu, Zhiding Xu, Chunjing Liu, Jianzhuang Au, Oscar C. Tang, Xiaoou Shenzhen Key Laboratory for Computer Vision and Pattern Recognition Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences China Department of Electronic and Computer Engineering Hong Kong University of Science and Technology Hong Kong Department of Information Engineering Chinese University of Hong Kong Hong Kong

ISBN: (纸本)9781450306164

This paper presents a system that can automatically segment objects in large scale 3D point clouds obtained from urban ranging images. The system consists of three steps: The first one involves a ground detection process that can detect relatively complex terrain and separate it from other objects. The second step superpixelizes the remaining objects to speed up the segmentation process. In the final step, a manifold embedded mode seeking method is adopted to segment the point clouds. Even though the segmentation of urban objects is a challenging problem in terms of accuracy and problem scale, our system can efficiently generate very good segmentation results. The proposed manifold learning effectively improves the segmentation performance due to the fact that continuous artificial objects often have manifold-like structures. Copyright 2011 ACM.

关键词： Image segmentation

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3D object retrieval with semantic attributes 11

3D object retrieval with semantic attributes

引用

19th ACM International Conference on Multimedia ACM Multimedia 2011, MM'11

作者： Gong, Boqing Liu, Jianzhuang Wang, Xiaogang Tang, Xiaoou Department of Information Engineering Chinese University of Hong Kong Hong Kong Department of Electronic Engineering Chinese University of Hong Kong Hong Kong Shenzhen Key Laboratory for Computer Vision and Pattern Recognition Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences China

ISBN: (纸本)9781450306164

Humans are capable of describing objects using attributes, such as "the object looks circular and is man-made". Motivated by these high-level descriptions, we build a user-friendly 3D object retrieval system, where the user can browse the database and search for targeted objects using semantic attributes. The main advantage of our system is that it does not require the user to find or sketch a 3D object as the query for 3D object retrieval. Besides, to the best of our knowledge, our system has obtained the best retrieval performance on three popular benchmarks. Copyright 2011 ACM.

关键词： Semantics

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Semi-supervised learning in nonstationary environments

Semi-supervised learning in nonstationary environments

引用

International Joint Conference on Neural Networks (IJCNN)

作者： Gregory Ditzler Robi Polikar Signal Processing and Pattern Recognition Laboratory in the Electrical & Computer Engineering Department Rowan University Glassboro NJ USA

Learning in nonstationary environments, also called learning concept drift, has been receiving increasing attention due to increasingly large number of applications that generate data with drifting distributions. These applications are usually associated with streaming data, either online or in batches, and concept drift algorithms are trained to detect and track the drifting concepts. While concept drift itself is a significantly more complex problem than the traditional machine learning paradigm of data coming from a fixed distribution, the problem is further complicated when obtaining labeled data is expensive, and training must rely, in part, on unlabelled data. Independently from concept drift research, semi-supervised approaches have been developed for learning from (limited) labeled and (abundant) unlabeled data; however, such approaches have been largely absent in concept drift literature. In this contribution, we describe an ensemble of classifiers based approach that takes advantage of both labeled and unlabeled data in addressing concept drift: available labeled data are used to generate classifiers, whose voting weights are determined based on the distances between Gaussian mixture model components trained on both labeled and unlabeled data in a drifting environment.

关键词： Classification algorithms Data models Clustering algorithms Training data Training Testing Algorithm design and analysis

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Kernel sparse representation with local patterns for face recognition

Kernel sparse representation with local patterns for face re...

引用

IEEE International Conference on Image Processing

作者： Cuicui Kang Shengcai Liao Shiming Xiang Chunhong Pan National Laboratory of Pattern Recognition Institute of Automation Chinese Academy of Sciences China Department of Computer Science and Engineering Michigan State University USA

In this paper we propose a novel kernel sparse representation classification (SRC) framework and utilize the local binary pattern (LBP) descriptor in this framework for robust face recognition. First we develop a kernel coordinate descent (KCD) algorithm for 11 minimization in the kernel space, which is based on the covariance update technique. Then we extract LBP descriptors from each image and apply two types of kernels (χ 2 distance based and Hamming distance based) with the proposed KCD algorithm under the SRC framework for face recognition. Experiments on both the Extended Yale B and the PIE face databases show that the proposed method is more robust against noise, occlusion, and illumination variations, even with small number of training samples.

关键词： Kernel Face recognition Noise Training Lighting Databases Histograms

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Preliminary Design of a Terrain recognition System

Preliminary Design of a Terrain Recognition System

引用

Annual International Conference of the IEEE engineering in Medicine and Biology Society

作者： Fan Zhang Zheng Fang Ming Liu He Huang department of Electrical Computer and Biomedical Engineering University of Rhode Island National Laboratory for Multispectral Information Processing Technologies Institute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology

ISBN: (纸本)9781424441211

This paper aims to design a wearable terrain recognition system, which might assist the control of powered artificial prosthetic legs. A laser distance sensor and inertial measurement unit (IMU) sensors were mounted on human body. These sensors were used to identify the movement state of the user, reconstruct the geometry of the terrain in front of the user while walking, and recognize the type of terrain before the user stepped on it. Different sensor configurations were investigated and compared. The designed system was evaluated on one healthy human subject when walking on an obstacle course in the laboratory environment. The results showed that the reconstructed terrain height demonstrated clearer pattern difference among studied terrains when the laser was placed on the waist than that when the laser was mounted on the shank. The designed system with the laser on the waist accurately recognized 157 out of 160 tested terrain transitions, 300ms-2870ms before the user switched the negotiated terrains. These promising results demonstrated the potential application of the designed terrain recognition system to further improve the control of powered artificial legs.

关键词： terrains preliminary design landscapes recognition system Laser design system Consumers Waist range sensor laboratory environment human subject walking

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Random subspace method in text categorization

Random subspace method in text categorization

引用

International Conference on pattern recognition

作者： Gangeh, Mehrdad J. Kamel, Mohamed S. Duin, Robert P. W. Department of Electrical and Computer Engineering University of Waterloo Waterloo Canada Pattern Recognition Laboratory Delft University of Technology Delft Netherlands

ISBN: (纸本)9780769541099

In text categorization (TC), which is a supervised technique, a feature vector of terms or phrases is usually used to represent the documents. Due to the huge number of terms in even a moderate-size text corpus, high dimensional feature space is an intrinsic problem in TC. Random subspace method (RSM), a technique that divides the feature space to smaller ones each submitted to a (base) classifier (BC) in an ensemble, can be an effective approach to reduce the dimensionality of the feature space. Inspired by a similar research on functional magnetic resonance imaging (fMRI) of brain, here we address the estimation of ensemble parameters, i.e., the ensemble size (L) and the dimensionality of feature subsets (M) by defining three criteria: usability, coverage, and diversity of the ensemble. We will show that relatively medium M and small L yield an ensemble that improves the performance of a single support vector machine, which is considered as the state-of-the-art in TC. © 2010 IEEE.

关键词： Support vector machines

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The semantics of personalised web accessibility assessment 10

The semantics of personalised web accessibility assessment

引用

25th Annual ACM Symposium on Applied Computing, SAC 2010

作者： Lopes, Rui Votis, Konstantinos Carriço, Luís Tzovaras, Dimitrios Spiridon, L. LaSIGE/University of Lisbon Edíficio C6 Campo Grande 1749-016 Lisboa Portugal CERTH/ITI Thermi-Thessaloniki GR-57001 Greece Pattern Recognition Laboratory Computer Engineering and Informatics University of Patras Greece

ISBN: (纸本)9781605586380

This paper presents SAAF, a Semantic Accessibility Assessment Framework for personalised Web accessibility assessment procedures. We define four domains as a way to decouple general accessibility concepts and semantics (e.g., disabilities, device descriptions) from technology or assessment specific concepts. We leverage personalised Web accessibility by transforming questions such as "is this Web site accessible to me?" into rich-semantics queries on SAAF and integrate it into a Web accessibility evaluator. © 2010 ACM.

关键词： Semantics

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Introducing accessibility in the Web services domain

Introducing accessibility in the Web services domain

引用

International Conference on computer Science and Information Technology (CSIT)

作者： Dimitris Giakoumis Konstantinos Votis Dimitrios Tzovaras Spiridon Likothanassis George Hassapis Informatics and Telematics Institute Thessaloniki Greece Department of Electrical and Computer Engineering Aristotle University of Thessaloniki Patras Greece Pattern Recognition Laboratory Computer Engineering and Informatics University of Patras Patras Greece

The ever increasing diversification of Web services and software applications poses a real challenge to developers and designers when creating software that has to cope with a myriad of interaction situations, as well as specific directives for ensuring an accessible interaction. Utilizing an advanced web services accessibility assessment tool, they can obtain a better understanding of the accessibility constraints for people with disabilities within Web services and software application's user interfaces. The proposed Web services assessment tool will assist them, with a minimal effort, to explore user-centered design and important accessibility issues for their software implementations. In an effort to solve such issues, this paper takes a step forward and introduces the notion of accessibility in the web service domain, in order to enhance web services with accessibility features capable to ensure that HCI through applications utilizing them is accessible.

关键词： Variable speed drives Guidelines Software

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