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12th International Conference on Intelligent Autonomous Systems, IAS 2012

作者： Yang, Tao Liu, Jiang Huang, Weimin Su, Yi Yang, Liangjing Chui, Chee Kong Ang Jr., Marcelo H. Chang, Stephen K. Y. Dept. of Computer Graphics and Interface Dept. of Computer Vision and Image Understanding Institute for Infocomm Research Singapore Singapore Dept. of Computing Science Institute of High Performance Computing Singapore Singapore Dept. of Mechanical Engineering National University of Singapore Singapore Singapore Dept. of Surgery National University Hospital Singapore Singapore

ISBN: (纸本)9783642339318

This paper presents a robot manipulator for hand-over-hand guidance training of laparoscopic surgery. Details of the mechanical design, kinematic analysis and control mechanism of the robot are presented. The robot records motion of surgical tool manipulated by master surgeon, and provides physical guidance to the trainee based on the recorded motion. The robotic manipulator can accurately reproduce the five degree of freedom manipulation of laparoscopic instrument during surgery. A hybrid spherical mechanism is applied for decoupling and reproducing the motion of surgical tool to facilitate implementation of control mechanism. The manipulators for left and right hands are capable of precise execution of a recorded trajectory with observed maximum error of 2.12 mm and 2 mm respectively during an experiment on user interaction. © 2013 Springer-Verlag.

关键词： Laparoscopy

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Single Cluster PHD SLAM: Application to Autonomous Underwater Vehicles using Stereo Vision

Single Cluster PHD SLAM: Application to Autonomous Underwate...

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Oceans 2013 - Norway

作者： Sharad Nagappa Narcis Palomeras Chee Sing Lee Nuno Gracias Daniel E. Clark Joaquim Salvi Computer Vision and Robotics Group University of Girona Joint Research Institute in Signal and Image Processing Heriot-Watt University

ISBN: (纸本)9781479900022

This paper considers the application of feature-based simultaneous localisation and mapping (SLAM) using a random finite sets (RFS) framework for an autonomous underwater vehicle. SLAM allows for reduction in localisation error by tracking features which provide a fixed external reference. The SLAM problem is addressed here using a single-cluster probability hypothesis density (PHD) filter. The filter uses a particle approximation for the vehicle position with a conditional Gaussian mixture PHD for the feature map. Map features are selected as unique point features generated from a stereo camera on-board the vehicle. We demonstrate the improvement in localisation applying the algorithm to a dataset obtained in an indoor test tank.

关键词： Autonomous underwater vehicles Stereoviews supersonic low altitude missile underwater vehicles Automatic vehicle location Stereo cameras simultaneous localization and mapping

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Abstraction based access control framework using least ontology

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Advances in Information Sciences and Service Sciences 2012年第15期4卷 42-49页

作者： Kim, Yun-Sam Cho, Eun-Sun Image Processing Research Center Korea Institute of Science and Techonology Korea Republic of Dept.of Computer Science and Engineering Chungnam National University Korea Republic of

Context data is one of most important parts of every context-aware system. Context data is not only trigger of events but also result of these events. So, privacy of context is one of important issue of context-aware system. Established methods of privacy like RBAC are not efficient to context data because these methods cannot control context data itself. So, some methods add abstraction ontology to access control framework. Abstraction ontology control expose of context data. But, using ontology to control expose of context data also have some problems. One is reliability of abstracted value and the other is performance of context data. In this paper, we suggest abstraction based access control system which minimizes abstraction overhead. To do this, we classify context data newly first. Classification of context data is based on abstraction method. And then we propose abstraction method of context data. Few context data use abstraction ontology. But, many of context data do not use abstraction ontology and abstraction of these context data reduces abstraction cost.

关键词： Ontology

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Classification of gothic and baroque architectural elements

Classification of gothic and baroque architectural elements

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2012 19th International Conference on Systems, Signals and image processing, IWSSIP 2012

作者： Shalunts, Gayane Haxhimusa, Yll Sablatnig, Robert Institute of Computer Aided Automation Computer Vision Lab. Vienna University of Technology Austria Institute of Computer Graphics and Algorithms Pattern Recognition and Image Processing Lab. Vienna University of Technology Austria

ISBN: (纸本)9783200023284

Architectural elements are the components and details of buildings. Their unique set, combination, design, construction technique form the architectural style of buildings. Building facade classification by architectural styles is viewed as a task of classifying separate architectural structural elements. In the scope of building facade architectural style classification the current paper targets the problem of classification of Gothic and Baroque architectural elements called tracery, pediment and balustrade. Since certain gradient directions dominate on the shape of each architectural element, discrimination between dominating gradients means classification of architectural elements and thus architectural styles. We use local features to describe gradient directions. Our approach is based on clustering and learning of local features and yields a high classification rate. © 2012 institute of Telecommunica.

关键词： Classification (of information)

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image multilevel thresholding using EM and de based on generalized Gaussian mixture model

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ICIC Express Letters, Part B: Applications 2012年第2期3卷 305-312页

作者： Nie, Fangyan Zhang, Pingfeng Pan, Meisen Rong, Qiusheng Institute of Graphics and Image Processing Technology College of Computer Science and Technology Hunan University of Arts and Science No. 170 Dongting Road Changde 415000 China

A novel optimal multilevel thresholding for histogram-based image segmentation is presented in this paper. It is based on the estimation of the statistical parameters of different classes under the assumption that these classes follow generalized Gaussian distribution mixture model. To fit the generalized Gaussian mixture to the histogram of image, the expectation maximization (EM) and a modified differential evolution (DE) hybrid algorithm is developed to estimate the number of generalized Gaussian mixture of such histogram and their corresponding parameterization. The performance of the proposed algorithm is evaluated vis-à-vis Otsu method and EM based on Gaussian distribution method. The experimental results show the effectiveness of the proposed method. © 2012 ICIC International.

关键词： image segmentation

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Classification of gothic and baroque architectural elements

Classification of gothic and baroque architectural elements

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International Conference on Systems, Signals and image processing, IWSSIP

作者： Gayane Shalunts Yll Haxhimusa Robert Sablatnig Institute of Computer Aided Automation Computer Vision Laboratory University of Technology Vienna Austria Institute of Computer Graphics and Algorithms Pattern Recognition and Image Processing Lab University of Technology Vienna Austria

关键词： Shape Three dimensional displays Visualization computer vision Histograms Windows

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Improved cross-media relevance model for automatic image annotation

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ICIC Express Letters, Part B: Applications 2012年第5期3卷 1231-1237页

作者： Song, Haiyu Li, Xiongfei Wang, Pengjie Bao, Cuizhu Liu, Yongkui Xu, Lu Institute of Computer Graphics and Image Processing Dalian Nationalities University No. 18 Liaohe Road Economic and Technological Development Zone-Dalian 116600 China Key Laboratory of Symbol Computation and Knowledge Engineering Ministry of Education Jilin University No. 2699 Qianjin Avenue Changchun 130012 China

Automatic image annotation has been an active research topic in the last decade due to its potentially large impact on image retrieval, object recognition and image understanding. Many approaches have been proposed for image annotation in recent years. The most influential annotation model is relevance model, whose representative algorithm is Cross-Media Relevance Model (CMRM). In this paper, to overcome the shortcomings of the original CMRM, we propose improved CMRM. In the improved CMRM, the annotation word distribution is estimated using binary probability, the significance of blob is discriminately depicted using TF-IDF (term frequency-inverse document frequency) schemes, and the similarity measurement of blob is based on blob and continuousvalued feature vector. The experimental results on the standard Corel5K dataset show that our proposed approach outperforms the original CMRM by about 111% and 73% in terms of F1 and N+ measures respectively. The improved CMRM can get better performance in specific domains such as cultural heritage and special necessities digitization for ethnic minorities. © 2012 ICIC International.

关键词： image retrieval

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A MPEG2 video watermarking algorithm based on DCT domain

A MPEG2 video watermarking algorithm based on DCT domain

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International Workshop on Digital Media and Digital Content Management, DMDCM 2011

作者： Jianfeng, Lu Zhenhua, Yang Fan, Yang Li, Li Institute of Computer Graphics and Image Processing Hangzhou Dianzi University Hangzhou China

ISBN: (纸本)9780769544137

Video watermarking plays an important role intoday's copyright protection of video media, in this paper a blind watermarking algorithm for mpeg2 video is proposed. In this algorithm, several DCT intermediate frequency coefficients of the video pictures are selected and divided into some groups, the watermark was embedded into the video pictures by adjusting the intermediate frequency coefficients in each group. The watermark capacity of this algorithm is adequate and experimental result shows the proposed algorithm is robust to video compression attack within a certain range and has little effect on the quality of the video. © 2011 IEEE.

关键词： image compression

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On-chip cell separation and manipulation using traveling wave dielectrophoretic force controlled by four-phase signal generator

On-chip cell separation and manipulation using traveling wav...

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Biomedical Engineering International Conference (BMEiCON)

作者： Kata Jaruwongrangsee Thitima Maturos Sakshin Bunthawin Anurat Wisitsoraat Manas Sangworasil Adisorn Tuantranont Biomedical signal and image processing laboratory King Mongkut's Institute of Technology Ladkrabang Bangkok Thailand Nanoelectronics and MEMS laboratory National electronics and computer technology center Pathumthani Thailand Biotechnology of Electromechanics Research Unit Prince of Songkla University Phuket Thailand

In this work, we present a device for cell manipulation and separation using travelling wave dielectophoretic (twDEP) force. The device consists of microchamber and 16 parallel electrode array controlled by four-phase signal. The dielectrophoretic PDMS chamber and Cr/Au parallel electrode array were fabricated by standard microfabrication techniques. The driving signals for the twDEP system are produced by a specially designed four-phase signal generator. The signal generator can be operated in a fixed or ±90° phase shift mode with varying frequency, applied voltage and shift interval. In addition, the signal conditions can be store to and retrieved from a built-in database. The twDEP system was tested with polystyrene microspheres suspension in de-ionized water and red blood cells in D-mannitol solution. Cells responded to the electric field in various mechanisms depending on the applied signals conditions. The results showed that the twDEP force occurred when the applied signals were 10 V (50 kHz-700 kHz) and 7 V (30 kHz-1 MHz) for 4.5 μm and 10 μm microspheres respectively. The mixed solution containing equal amount of 4.5 and 10 μm microspheres were used for separation test. Under the signal conditions for 10 μm microspheres, the microspheres were moved under twDEP force while the smaller microspheres were attached to the electrodes. Therefore, the twDEP device can successfully manipulate and separate the microspheres of different sizes, and it can be further applied for cells selection.

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Architectural style classification of building facade windows

Architectural style classification of building facade window...

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7th International Symposium on Visual Computing, ISVC 2011

作者： Shalunts, Gayane Haxhimusa, Yll Sablatnig, Robert Institute of Computer Aided Automation Computer Vision Lab. Vienna University of Technology Austria Institute of Computer Graphics and Algorithms Pattern Recongition and Image Processing Lab. Vienna University of Technology Austria

Building facade classification by architectural styles allows categorization of large databases of building images into semantic categories belonging to certain historic periods, regions and cultural influences. image databases sorted by architectural styles permit effective and fast image search for the purposes of content-based image retrieval, 3D reconstruction, 3D city-modeling, virtual tourism and indexing of cultural heritage buildings. Building facade classification is viewed as a task of classifying separate architectural structural elements, like windows, domes, towers, columns, etc, as every architectural style applies certain rules and characteristic forms for the design and construction of the structural parts mentioned. In the context of building facade architectural style classification the current paper objective is to classify the architectural style of facade windows. Typical windows belonging to Romanesque, Gothic and Renaissance/Baroque European main architectural periods are classified. The approach is based on clustering and learning of local features, applying intelligence that architects use to classify windows of the mentioned architectural styles in the training stage. © 2011 Springer-Verlag.

关键词： Semantics

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