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3rd International Conference on Advances in Communication, Network, and Computing, CNC 2012

作者： Reddy, Vijender Busi Kumar, M. Ranjith Negi, Atul Venkataraman, S. Department of Computer and Information Sciences University of Hyderabad Hyderabad India Advanced Data Processing Research Institute Secunderabad India

ISBN: (纸本)9783642356148

Mobile Ad-hoc Networks (MANETs) are self-configurable and self-reliance networks. Due to this these networks are vulnerable to routing attacks. endairA[6] is one of the secure on demand routing protocol for MANETs. In endairA[6], an intermediate node verifies all the signatures carried by the route reply which is a big computational overhead and expensive in terms of power consumption, end-to-end delay. We propose a new approach Impro-endiarA, which will verify at most two signatures at every intermediate node. Proposed approach is efficient in terms of power consumption, end-to-end delay and mitigating some attacks which are possible on some variants of endairA [6]. © 2012 ICST Institute for computer Science, Social Informatics and Telecommunications Engineering.

关键词： Mobile ad hoc networks

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Context-specific miRNA regulation network predicts cancer prognosis

Context-specific miRNA regulation network predicts cancer pr...

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IEEE International Conference on Systems Biology

作者： Xionghui Zhou Juan Liu Changning Liu Simon Rayner Fengji Liang Jingfang Ju Yinghui Li Shanguang Chen Jianghui Xiong School of Computer Science Wuhan University Wuhan China Bioinformatics Research Group Key Laboratory of Intelligent Information Processing Advanced Computing Research Laboratory Institute of Computing Technology Chinese Academy of Sciences (CAS) Beijing China Bioinformatics Group State Key Laboratory of Virology Wuhan Institute of Virology Chinese Academy of Sciences (CAS) Wuhan China Bioinformatics Group and Data Coordination Center State Key Laboratory of Space Medicine Fundamentals and Application China Astronaut Research and Training Center Beijing China Department of Pathology Stony Brook University Medical Center New York USA

MicroRNAs can regulate hundreds of target genes and play a pivotal role in a broad range of biological process. However, relatively little is known about how these highly connected miRNAs-target networks are remodelled in the context of various diseases. Here we examine the dynamic alteration of context-specific miRNA regulation to determine whether modified microRNAs regulation on specific biological processes is a useful information source for predicting cancer prognosis. A new concept, Context-specific miRNA activity (CoMi activity) is introduced to describe the statistical difference between the expression level of a miRNA's target genes and non-targets genes within a given gene set (context).

关键词： Breast cancer Context Correlation Biological processes Metastasis Tumors

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Document Image Mosaicing with Mobile Phones

Document Image Mosaicing with Mobile Phones

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International Conference on Image Analysis and processing

作者： Jari Hannuksela Pekka Sangi Janne Heikkila Xu Liu David Doermann Machine Vision Group Infortech Oulu Department of Electrical and Information Engineering University of Oulu Finland Language and Media Processing Laboratory Institute for Advanced Computer Studies University of Maryland College Park USA

This paper presents a novel user interaction concept for document image scanning with mobile phones. A high resolution mosaic image is constructed in two main stages. Firstly, online camera motion estimation is applied to the phone to assist the user to capture small image patches of the document page. Automatic image stitching process with the help of estimated device motion is carried out to reconstruct the full view of the document. Experiments on document images captured and processed with mosaicing software clearly show the feasibility of the approach.

关键词： Mobile handsets Motion estimation Cameras Image resolution Mice Optical character recognition software Solid modeling Motion measurement Image motion analysis Machine vision

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Online modeling and tracking of pose-varying faces in video

Online modeling and tracking of pose-varying faces in video

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Conference on computer vision and Pattern Recognition (CVPR)

作者： X. Liu T. Chen General Electric Global Research Center Visualization and Computer Vision Laboratory Schenectady NY USA Advanced Multimedia Processing Lab Department of Electrical and Computer Engineering Carnegie Mellon University Pittsburgh PA USA

ISBN: (纸本)0769523722

We propose a face mosaicing approach to model both the facial appearance and geometry from pose-varying videos, and apply it in face tracking and recognition. The basic idea is that by approximating the human head as a 3D ellipsoid, multi-view face images can be back projected onto the surface of the ellipsoid, and the surface texture map is decomposed into an array of local patches. During the online modeling process, the position and pose of the first frame is assumed to be known for a given video sequence. For each frame in the sequence, the algorithm estimates the face-position and pose, and generates a texture map, which is further utilized in updating the mosaic model.

关键词： Face recognition Solid modeling Geometry Ellipsoids Face detection Video sequences computer vision Humans Lighting Head

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Pose-robust face recognition using geometry assisted probabilistic modeling

Pose-robust face recognition using geometry assisted probabi...

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Conference on computer vision and Pattern Recognition (CVPR)

作者： Xiaoming Liu Tsuhan Chen General Electric Global Research Center Visualization and Computer Vision Laboratory Schenectady NY USA Advanced Multimedia Processing Lab Department of Electrical and Computer Engineering Carnegie Mellon University Pittsburgh PA USA

ISBN: (纸本)0769523722

Researchers have been working on human face recognition for decades. Face recognition is hard due to different types of variations in face images, such as pose, illumination and expression, among which pose variation is the hardest one to deal with. To improve face recognition under pose variation, this paper presents a geometry assisted probabilistic approach. We approximate a human head with a 3D ellipsoid model, so that any face image is a 2D projection of such a 3D ellipsoid at a certain pose. In this approach, both training and test images are back projected to the surface of the 3D ellipsoid, according to their estimated poses, to form the texture maps. Thus the recognition can be conducted by comparing the texture maps instead of the original images, as done in traditional face recognition. In addition, we represent the texture map as an array of local patches, which enables us to train a probabilistic model for comparing corresponding patches. By conducting experiments on the CMU PIE database, we show that the proposed algorithm provides better performance than the existing algorithms.

关键词： Face recognition Geometry Solid modeling Ellipsoids Humans Lighting Head Testing Surface texture Image recognition

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Robust occupancy detection from stereo images

Robust occupancy detection from stereo images

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International Conference on Intelligent Transportation

作者： B. Alefs M. Clabian H. Bischof W. Kropatsch F. Khairallah Advanced Computer Vision GmbH-ACV Vienna Austria Advanced Computer Vision GmbH-ACV Austria Institute for Computer Graphics and Vision Graz University of Technology Graz Austria Pattern Recognition and Image Processing Group Institute of Computer Aided Automation Computer Science Department University of Technology Vienna Vienna Austria TRW Automotive GmbH Farmington Hills MI USA

Vehicle occupants that are out-of-position can be deadly injured by the deployment of the air bag in a crash situation. In recent years many different sensors and systems have been proposed to detect the type of occupant and the position of the occupant's head. This work presents a method for classification and occupant's head detection based on passive stereo vision. The proposed system uses depth surface analysis and scene statistics together with support vector machines for classification and selection of head candidates. Evaluation of the method shows 99% correct for classification and 98% correct for head detection, using large sets of image data, and image sequences recorded in a driving vehicle.

关键词： Robustness Magnetic heads Vehicle crash testing Sensor systems Stereo vision Layout Statistical analysis Support vector machines Support vector machine classification Vehicle detection

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Head detection and localization from sparse 3D data

Head detection and localization from sparse 3D data

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24th German Association for Pattern Recognition Symposium, DAGM 2002

作者： Clabian, Markus Rötzer, Harald Bischof, Horst Kropatsch, Walter Advanced Computer Vision GmbH Donau City Str.1 ViennaA-1220 Austria Institute for Computer Graphics and Vision Graz University of Technology Inffeldgasse 16 GrazA-8010 Austria Pattern Recognition and Image Processing Group Institute of Computer Aided Automation Computer Science Department Vienna University of Technology Favoritenstr. 9 ViennaA-1040 Austria

ISBN: (纸本)354044209X

Head detection is an important, but difficult task, if no restrictions such as static illumination, frontal face appearance or uniform background can be assumed. We present a system that is able to perform head detection under very general conditions by employing a 3D measurement system namely a structured light distance measurement. An algorithm of head detection from sparse 3D data (19x19 data points) is developed that reconstructs a 3D surface over the image plane and detects head hypotheses of ellipsoidal shape. We demonstrate that detection and rough localization is possible in up to 90% of the images. © Springer-Verlag Berlin Heidelberg 2002.

关键词： computers

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An efficient algorithm for detection of road-like structures in satellite images

An efficient algorithm for detection of road-like structures...

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13th International Conference on Pattern Recognition, ICPR 1996

作者： Mukherjee, A. Parui, S.K. Chaudhuri, D. Chaudhuri, B.B. Krishnan, R. Computer Vision and Pattern Recognition Unit Indian Statistical Institute Calcutta India Advanced Data Processing Research Institute Secunderabad India

ISBN: (纸本)081867282X

Road networks are important features of satellite imagery. The main contribution of the present road detection method consists of an effective enhancement technique and an efficient segmentation technique that removes non-road pixels step by step from the image where parameters involved: in each step images are determined by the sensor characteristics (like spatial resolution and spectral range) of the satellite. Also, the segmentation process depends not only on the road contrast but also on the road length. Thus, a low contrast but long road segment does not get removed. We have tested the algorithm on a number of images from IRS and SPOT satellites and the results are satisfactory. © 1996 IEEE.

关键词： Satellite imagery

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An efficient algorithm for detection of road-like structures in satellite images

An efficient algorithm for detection of road-like structures...

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International Conference on Pattern Recognition

作者： A. Mukherjee S.K. Parui D. Chaudhuri B.B. Chaudhuri R. Krishnan Indian Statistical Institute Computer Vision and Pattern Recognition Unit Calcutta India Advanced Data Processing Research Institute Secunderabad India

关键词： Satellites Roads Image segmentation Pixel Sensor phenomena and characterization Spatial resolution Joining processes Intelligent networks computer vision Pattern recognition

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Guest Editorial: Focus on Digital Signal processing Techniques Applied to Space Communications

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European Transactions on Telecommunications 1993年第1期4卷 9-10页

作者： Gaudenzi, Riccardo De Elia, Carlo Harris, Robert A. Rimrdo De Gaudend was born in Rosignano Mmo Italy in 1960. He received the Doctor En- gineer degree (cum Laude) in Electronic Engineering from the University of Pisa. Italy in 1985. From 1986 he was with the European Space Agency (ESA). Stsliow and Communications Engineering Department. Darmrtadt (RFA) where he was involved in satellite telecommunication ground systems design and testing. In particular he followed the development of two new ESA's satellite tracking systems. In 1988 be joined the ESA's Research and Technology Centre (ESTEC). Noordwijk. The Netherlands where is holding a position as releeommunication enginm in the Electrical System Department. He is presently responsible for the definition and development of advanced satellite communication systems. His mull intenst b ddyrducd with effacnt digital modulation and access techniques for fued and mobile wtdlite services synchronization topics and communication systems simulation techniques. Carlo Elia (S'89) was born in Trepuzzi. Italy in 1964. He received the Doctor Engineer degree in Electronic Engineering from Politecnico di Torino. Torino. Italy. in 1989. He his now attending a Doctorate program at PolitanieO di Torino. S i 1990. he has been with the Eurpean Space Agency (ESA) in the Electrical System Department as Tdeeommunications Syrtcm Engineer. His main areas of interest are related to rdvanccd digital modulation and access techniques and channel equalization. R.A. (Bob) Harris (S'69–M'70) received the PhD from the University of Southampton. England in 1971. In 1970 he joined the European Space Agency (then ESRO). based at the European Space Research and Technology Centre (ESTEC) Noordwijk. The Netherlandswas working on telemetry and telecommand systems. Since 1978 he has been Head of the Transmision Techniques Section in the Directorate of Telecom munications. He was involved in the transmission design of the OTS ECS Olympus and European Data Relay systems. He has worked on a wide range of analogue and digital transmission topics wit

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