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Real-time parallel and cooperative recognition of facial images for an interactive visual human interface

Real-time parallel and cooperative recognition of facial ima...

引用

international conference on pattern recognition

作者： O. Hasegawa E. Yokosawa M. Ishizuka Electro technical Laboratory Tsukuba Japan NTT Basic Research Laboratories Japan Faculty of Engineering University of Tokyo Japan

this paper describes briefly an algorithm both for real-time facial image recognition in unconstrained indoor environments and a human like agent image synthesis which responds to the recognition results. Our simple but effective image recognition algorithm can recognize facial images from moving images, choose one primal face and track the primal face in real-time. therefore, the agent can gaze/glance/etc., at the primal face (the interacting user) during the process. It means a "facial contact" or an "eye contact" can be achieved between the user and the synthesized moving agent, which is very important for friendly human interfaces.

关键词： Face recognition Image recognition Humans History Image generation Feature extraction Concurrent computing Data mining Parallel robots Computerized monitoring

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Medical Assistant Visual Teaching System Based on VTK 12

Medical Assistant Visual Teaching System Based on VTK

引用

12th international conference of Information and Communication Technology, ICTech 2023

作者： Su, Mo Hu, Mingrui Wang, Ning Qiao, Jianzhong Gao, Yanjun Qi, Guanglu Shenyang Institute of Computing Technology Co. Ltd Cas Shenyang110168 China University of Chinese Academy of Sciences Beijing100049 China Northeastern University Shenyang110819 China The Fourth Affiliated Hospital of China Medical University Shenyang110003 China Shenyang Fire Science and Technology Research Institute Mem Shenyang110034 China

ISBN: (纸本)9798350332919

In the field of modern medical teaching, the use of Computed Tomography (CT), Magnetic Resonance Imaging (MRI) and other equipment to obtain is a two-dimensional image sequence [1], which is not intuitive enough and makes the images difficult to understand. In order to solve the deficiencies in the video teaching method of slides and textbooks, to improve the quality of teaching and the practical ability of students, this paper implements a 3D visualization system based on VTK (visualization toolkit) for medical assistant teaching. this system uses the VTK toolkit. the three-dimensional reconstruction algorithm reconstructs the two-dimensional tomographic sequence of the organ into a three-dimensional organ, visualizes the reconstructed three-dimensional model in the Unity3D engine. the teaching module synchronizes the scene resources to other clients for teaching. Realize the playback of teaching content based on frame synchronization. the collaborative simulation surgery module uses VR (Virtual Reality) equipment to conduct collaborative simulation training, record the training situation in real time and summarize it after the end, so as to facilitate the identification of deficiencies in the task. © 2023 IEEE.

关键词： Medical imaging

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Accurate computation of optical flow by using layered motion representations

Accurate computation of optical flow by using layered motion...

引用

international conference on pattern recognition

作者： S. Hsu P. Anandan S. Peleg David Samoff Research Center Inc. Princeton NJ USA Institute of Computer Science Hebrew University Jerusalem Israel

this paper presents a framework combining two prevailing approaches to motion analysis: optical flows which describes motion at each point, and methods that define global motions for larger regions. Image motion is represented by layers-image regions whose coherent motion can be approximated by some parametric motion model. the motion at every point is obtained by the parametric motion estimate of the entire layer, corrected by a residual flow which captures the difference between the real image motion and the layer's motion model. the new approach is able to construct accurate flow fields in the presence of multiple motions, motion boundaries, and transparent motions.

关键词： Optical computing Image motion analysis Motion estimation Nonlinear optics Pixel Motion analysis Particle beam optics Spatial coherence Layout Tires

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Modeling of some spatio-temporal aspects of visual information processing in the retinal neural network

Modeling of some spatio-temporal aspects of visual informati...

引用

international conference on pattern recognition

作者： A. Faure N. Shevtsova A. Golovan A. Klepach O. Cachard I. Rybak Laboratory Logos University of Le Havre France AB Kogan Research Institute for Neurocybernetics Rostov State University Rostov on Donu Russia University of Pennsylvania Philadelphia PA USA

the problems of active vision and of visual perception and recognition in the dynamic environment demand a very careful consideration of dynamic aspects of early visual processing. In the first turn it concerns the finding out the relationships between the dynamic properties of sensory processing elements (retinal neurons), velocities of movements of elements of the visible world, and general structure of the retinal receptive fields. In this work we have tried to consider the above issues using a very simple model of the retinal neural network.

关键词： Information processing Retina Neural networks Image resolution Neurons Visual perception Intelligent networks Eyes Biology computing Computer vision

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Physics-based object pose and shape estimation from multiple views

Physics-based object pose and shape estimation from multiple...

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international conference on pattern recognition

作者： M. Chan D. Metaxas Department of Computer and Information Science University of Pennsylvania Philadelphia PA USA

this paper presents a new algorithm for object pose and shape estimation from multiple views. Using a qualitative shape recovery scheme the authors first segment the image into parts which belong to a vocabulary of primitives. Based on the additional constraints provided by the qualitative shapes the authors extend their physics-based framework to allow object pose and shape estimation from stereo images where the two cameras have arbitrary relative orientations. the authors then generalize their algorithm to integrate measurements from multiple views. To recover more complex objects the authors generalize the definition for the global bending deformation. the authors also present an algorithm for model discretization which evenly tessellates the model surface. the authors demonstrate the usefulness of their technique in experiments involving real images from of a variety of object shapes which may be partially occluded.

关键词： Shape Deformable models Image segmentation Cameras Physics computing Information science Vocabulary Data mining Noise robustness Noise shaping

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Document segmentation using texture analysis

Document segmentation using texture analysis

引用

international conference on pattern recognition

作者： J.S. Payne T.J. Stonham D. Patel Department of Computing Buckinghamshire College Brunel University High Wycombe Buckinghamshire UK Department of Electrical Engineering Brunel University High Wycombe Uxbridge UK

this paper describes the application of a novel texture recognition strategy, which involves the assembly of n/sup th/ order co-occurrence information within a processing window. the resulting spectrum is processed by a nearest neighbour classifier, and discontinuities in the classification as the operating window scans the image are recognized as texture boundaries. the technique is being applied for the first time to segmenting newsprint, in order to locate the text regions for effective data capture. Previous methods applied to the task discussed in the paper, have used run-length encoding and block analysis, Gabor filters, or component analysis. the co-occurrence method offers significant advantages in processing time and ease of implementation.

关键词： Gabor filters Image segmentation Optical character recognition software Image analysis Image texture analysis Pixel Material storage Image coding Fourier transforms Educational institutions

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the effects of radiometry on the accuracy of intensity based registration

The effects of radiometry on the accuracy of intensity based...

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2010 20th international conference on pattern recognition, ICPR 2010

作者： Selby, Boris Peter Sakas, Georgios Walter, Stefan Groch, Wolf-Dieter Stilla, Uwe Medcom GmbH Rundeturmstr. 12 64283 Darmstadt Germany Fraunhofer IGD Cognitive Computing and Medical Imaging 64283 Darmstadt Germany University of Applied Sciences Fachbereich Informatik 64295 Darmstadt Germany Technische Universitaet Muenchen Photogrammetry and Remote Sensing Germany

ISBN: (纸本)9780769541099

Besides several other factors, radiometric differences between a reference and a floating image greatly influence the achievable accuracy of image registration. In this work we derive the magnitude of registration inaccuracy coming from changes in radiometric properties. this is done for the example of medical X-ray image registration. We therefore estimate the change of image intensity with respect to object shape, X-ray attenuation of the object material and the initial X-ray energy by modeling a simplified image formation process. the change in intensity is then used to determine a closed form estimation of the resulting registration error, independent from a specific registration algorithm. Finally the theoretical calculations are compared to the accuracy of intensity based registration performed on X-ray images with different radiometric properties. Results show that the herewith derived accuracy estimation is well suited to predict the achievable accuracy of a registration for images with radiometric differences. © 2010 IEEE.

关键词： Image registration

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Edge computing Enabled Technologies for Secure 6G Smart Environment-An Overview 12th

Edge Computing Enabled Technologies for Secure 6G Smart Envi...

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12th international conference on Soft computing and pattern recognition, SoCPaR 2020 and 16th international conference on Information Assurance and Security, IAS 2020

作者： Jamil, Syed Usman Khan, M. Arif Rehman, Sabih ur Charles Sturt University Wagga Wagga Australia

ISBN: (纸本)9783030736880

In this article, we present a theoretical framework for a secure smart architecture based on futuristic edge resource allocation with a key focus on the task off-loading and intelligent enabling technologies. this article aims to highlight the growing need of embedded off-loading standards in the context of the Internet of Everything (IoE), fog, and cloud paradigms enabled technologies in the overall design framework of smart architecture. Efficient task off-loading strategies perform a vital role in mobility, heterogeneity, data and energy management, load balancing, establishing security mechanisms, reducing the propagation delay and information processing. the motive behind presenting such an embedded intelligent and secure architecture is to address the growing concerns of upcoming smart networks and its sub-network based on different futuristic scenarios, applications and devices. Furthermore, we discuss the off-loading criteria and enabling technologies, in view of the new advancement and critical requirements with rising demands of up-coming intelligence-based secure off-loading frameworks, in order to meet the requirements of the secure smart environment. Finally, through our discussion, we develop the specific research questions and explain its motivations in order to design and evaluate the off-loading criteria and its associated enabling technologies to accommodate the secure technological advancements and resource allocation in the sixth generation (6G) wireless communication era. © 2021, the Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Internet of Everything

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Parallel scalable libraries and algorithms for computer vision

Parallel scalable libraries and algorithms for computer visi...

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international conference on pattern recognition

作者： L.H. Jamieson E.J. Delp S.E. Hambrusch A.A. Khokhar G.W. Cook F. Hameed J.N. Patel Ke Shem Purdue University West Lafayette IN USA Department of Computer Sciences Purdue University West Lafayette IN USA

We describe a project that integrates applications requirements, parallel algorithm design, models of parallel computing, and software tools in order to improve the ability of applications researchers in the fields of computer vision and image processing (CVIP) to realize the performance potential of high performance parallel computers. this objective is achieved by pursuing four directions of research: the development of efficient and practical scalable algorithms for fundamental CVIP problems; the implementation of realistic CVIP scenarios on high performance computers; the development of a scalable, architecture-independent parallel model and a metric for estimating the performance of an algorithm on an existing parallel machine; and the development of prototype software tools. In this paper we describe work in each of these areas.

关键词： Computer vision Application software Software tools Concurrent computing High performance computing Software algorithms Software libraries Parallel algorithms Algorithm design and analysis Parallel processing

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Computational Data and Social Networks 1

引用

丛书名： Lecture Notes in Computer Science

1000年

作者： Minh Hoàng Hà Xingquan Zhu My T. thai

ISBN: (数字)9789819706693

ISBN: (纸本)9789819706686

this book constitutes the refereed conference proceedings of the 12th international conference on Computational Data and Social Networks, CSoNet 2023, held in Hanoi, Vietnam, in December 2023.;the 23 full papers and 14 short papers presented in this book were carefully reviewed and selected from 64 submissions. the papers are divided into the following topical sections: machine learning and prediction; optimization; security and blockchain; and network analysis.

关键词： Computer Applications Computer Communication Networks Data Structures and Information theory Artificial Intelligence computing Milieux

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