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computer graphics International

作者： Z. Deng J.P. Lewis U. Neumann Computer Graphics and lmmersive Technologies Lab Department of Computer Science. Integrated Media System Center University of Southern California USA

While speech animation fundamentally consists of a sequence of phonemes over time, sophisticated animation requires smooth interpolation and co-articulation effects, where the preceding and following phonemes influence the shape of a phoneme. Co-articulation has been approached in speech animation research in several ways, most often by simply smoothing the mouth geometry motion over time. Data-driven approaches tend to generate realistic speech animation, but they need to store a large facial motion database, which is not feasible for real time gaming and interactive applications on platforms such as PDAs and cell phones. In this paper we show that accurate speech co-articulation model with compact size can be learned from facial motion capture data. An initial phoneme sequence is generated automatically from text-to-speech (TTS) systems. Then, our learned co-articulation model is applied to the resulting phoneme sequence, producing natural and detailed motion. The contribution of this work is that speech co-articulation models "learned" from real human motion data can be used to generate natural-looking speech motion while simultaneously preserving the expressiveness of the animation via keyframing control. Simultaneously, this approach can be effectively applied to interactive applications due to its compact size.

关键词： Speech synthesis Interpolation Shape Smoothing methods Mouth Geometry Facial animation Spatial databases Personal digital assistants Cellular phones

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AI Literacy: Finding Common Threads between Education, Design, Policy, and Explainability

AI Literacy: Finding Common Threads between Education, Desig...

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Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems, CHI EA 2023

作者： Long, Duri Roberts, Jessica Magerko, Brian Holstein, Kenneth Dipaola, Daniella Martin, Fred Department of Communication Studies Northwestern University United States School of Interactive Computing Georgia Tech United States School of Literature Media and Communication Georgia Tech United States Human-Computer Interaction Institute Carnegie Mellon University United States Personal Robots Group Mit Media Lab United States Computer Science University of Massachusetts Lowell United States

ISBN: (纸本)9781450394222

Fostering public AI literacy has been a growing area of interest at CHI for several years, and a substantial community is forming around issues such as teaching children how to build and program AI systems, designing learning experiences to broaden public understanding of AI, developing explainable AI systems, understanding how novices make sense of AI, and exploring the relationship between public policy, ethics, and AI literacy. Previous workshops related to AI literacy have been held at other conferences (e.g., SIGCSE, AAAI) that have been mostly focused on bringing together researchers and educators interested in AI education in K-12 classroom environments, an important subfield of this area. Our workshop seeks to cast a wider net that encompasses both HCI research related to introducing AI in K-12 education and also HCI research that is concerned with issues of AI literacy more broadly, including adult education, interactions with AI in the workplace, understanding how users make sense of and learn about AI systems, research on developing explainable AI (XAI) for non-expert users, and public policy issues related to AI literacy. © 2023 Owner/Author.

关键词： Public policy

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Mechanical design of social robot Nancy

Mechanical design of social robot Nancy

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2011 IEEE/SICE International Symposium on System Integration, SII 2011

作者： Ge, S.S. Safizadeh, M.R. Li, Y. Social Robotics Lab. Interactive Digital Media Institute National University of Singapore Singapore 117576 Singapore Department of Electrical and Computer Engineering National University of Singapore Singapore 117576 Singapore Robotics Institute School of Computer Science and Engineering University of Electronic Science and Technology of China Chengdu 610054 China Social Robotics Lab. Interactive Digital Media Institute National University of Singapore Singapore 119613 Singapore NUS Graduate School for Integrative Sciences and Engineering National University of Singapore Singapore 119613 Singapore

ISBN: (纸本)9781457715235

This paper presents the mechanical design of a social robot, Nancy, developed by Social Robotics laboratory, interactive and Digital media Institute, National University of Singapore. The objective of our project is to introduce the social robot which is capable to interact with people, especially the elderly, based on fundamental, functional and social tasks. We developed Nancy with multi-module structure and 32 degrees of freedom (DOFs), including 24 and 8 DOFs in upper-body and lower-body, respectively. 8 DOFs are considered in each arm to make Nancy able to imitate human limbs' motion. Nancy's head involves eye and eyelid motions with 3 DOFs which is on top of a 2-DOFs neck. The wheeled-base is designed in such a way to facilitate the multi-directional movements for Nancy. One of our main objectives in Nancy's mechanical design is to obtain powerful and smooth motion, light-weight joints and simple kinematics. They are achieved by Bowden cable-pulley mechanism driven by actuators located in lower-body. Accordingly, all joints are designed to have intersected axes. Most joints are driven by brushless D.C. motors embedded with electrical brake system to stabilize the robot, especially in case of power loss. © 2011 IEEE.

关键词： Digital storage

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Fitting 3D garment models onto individual human models

Fitting 3D garment models onto individual human models

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作者： Li, Jituo Ye, Juntao Wang, Yangsheng Bai, Li Lu, Guodong Digital Interactive Media Lab Institute of Automation Chinese Academy of Sciences No. 95 Zhongguancuan East Road Beijing 100190 China Engineering Research Center of Digitized Textile and Fashion Technology Ministry of Education Donghua University Shanghai 201620 China Institute of Engineering and Computer Graphics Mechanical Department of Zhejiang University Zhejiang University Yuquan Campus No. 38 Zheda Road Hangzhou 310027 China School of Computer Science University of Nottingham Nottingham United Kingdom

Designing an elegant 3D virtual garment model for a 3D virtual human model is labor-intensive, because most existing garment models are custom-made for a specific human model and cannot be easily reused for other individuals. In this paper, we propose a novel method for fitting a given 3D garment model onto human models of various body shapes and poses. The fitting is accomplished by deforming the garment mesh to match the shapes of the human models by using a combination of the following: skeleton-driven volumetric deformation, garmenthuman shape similarity matching and evaluation, the constraints of garmenthuman contact, and garmenthuman ease allowance. Experiments show that our approach performs very well and has the potential to be used in the garment design industry. © 2010 Elsevier Ltd.

关键词： Musculoskeletal system

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Extracting geometric features of aortic valve annulus motion from dynamic MRI for guiding interventions

Extracting geometric features of aortic valve annulus motion...

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IEEE International Symposium on Biomedical Imaging

作者： Nikhil V. Navkar Erol Yeniaras Dipan J. Shah Nikolaos V. Tsekos Zhigang Deng Medical Robotics Laboratory Department of Computer Science University of Houston Houston TX USA Methodist DeBakey Heart & Vascular Center Methodist Hospital Houston TX USA Computer Graphics and Interactive Media Laboratory Department of Computer Science University of Houston Houston TX USA

ISBN: (纸本)9781424441273

Transcatheter aortic valve implant (TAVI) has emerged as a prominent approach for treating aortic stenosis. Success of such implants depends upon the accurate assessment of the geometric features such as the diameter, center and orientation of the aortic valve annulus (AVA). In this paper, we present a method for extracting these geometric features from magnetic resonance images (MRI). The method is based on finding an optimal fit for a circular ring mimicking AVA in the aortic root. Moreover, the presented approach provides dynamic tracking of the AVA in CINE MR images. This approach can be used for preoperative planning of prosthetic valve implantation, as well as for the emerging MRI guided manual, or with robot-assisted, annuloplasty.

关键词： Valves Magnetic resonance imaging Robots Heart Tracking Prosthetics

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Design and development of a wearable rehabilitation robot

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4th International Conference on Social Robotics, ICSR 2012

作者： He, Wei Ge, Shuzhi Sam Guo, Weian Zhao, Zhen Zhang, Jie Xiao, Shengtao Nuraisha, Fon Ping Quek Robotics Institute School of Automation Engineering University of Electronic Science and Technology of China Chengdu 611731 China Robotics Institute School of Computer Science and Engineering University of Electronic Science and Technology of China Chengdu 611731 China Department of Electrical and Computer Engineering National University of Singapore Singapore 117576 Singapore Social Robotics Lab. Interactive Digital Media Institute National University of Singapore Singapore 119613 Singapore

ISBN: (纸本)9783642341021

In this paper, we present the design and development of a wearable robot for the lower limb rehabilitation including the mechanical, electrical system, software implementation, etc. To make the robot wearable and portable and simplify the mechanism structure, servo motors are used as robot's joints. A friendly human robot interface is designed to make the robot easy to use. The dynamics of the robot is described by a 2-link rigid robotic manipulator in the joint space. The simulation results are given to demonstrate the feasibility and effectiveness of the designed lower limb rehabilitation robot-assisted system. © 2012 Springer-Verlag.

关键词： Machine design

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Detecting compromised accounts caused by phone number recycling on e-commerce platforms: taking Meituan as an example

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Frontiers of Information Technology & Electronic Engineering 2024年第8期25卷 1077-1095页

作者： Min GAO Shutong CHEN Yangbo GAO Zhenhua ZHANG Yu CHEN Yupeng LI Qiongzan YE Xin WANG Yang CHEN School of Computer Science Fudan UniversityShanghai 200438China Shanghai Key Lab of Intelligent Information Processing Fudan UniversityShanghai 200438China Meituan Beijing 100005China Department of Interactive Media Hong Kong Baptist UniversityHong Kong 999077China

Phone number recycling(PNR)refers to the event wherein a mobile operator collects a disconnected number and reassigns it to a new *** has posed a threat to the reliability of the existing authentication solution for e-commerce ***,a new owner of a reassigned number can access the application account with which the number is associated,and may perform fraudulent *** solutions that employ a reassigned number database from mobile operators are costly for e-commerce platforms with large-scale ***,alternative solutions that depend on only the information of the applications are *** this work,we study the problem of detecting accounts that have been compromised owing to the reassignment of phone *** analysis on Meituan's real-world dataset shows that compromised accounts have unique statistical features and temporal *** on the observations,we propose a novel model called temporal pattern and statistical feature fusion model(TSF)to tackle the problem,which integrates a temporal pattern encoder and a statistical feature encoder to capture behavioral evolutionary interaction and significant operation *** experiments on the Meituan and IEEE-CIS datasets show that TSF significantly outperforms the baselines,demonstrating its effectiveness in detecting compromised accounts due to reassigned numbers.

关键词： Phone number recycling Neural networks E-commerce Compromised account detection

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Advances in Visual Computing 1

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丛书名： Lecture Notes in computer science

1000年

作者： George Bebis Richard Boyle Bahram Parvin Darko Koracin Ryan McMahan Jason Jerald Hui Zhang Steven M. Drucker Chandra Kambhamettu Maha Choubassi Zhigang Deng Mark Carlson

ISBN: (数字)9783319142494

ISBN: (纸本)9783319142487

The two volume set LNCS 8887 and 8888 constitutes the refereed proceedings of the 10th International Symposium on Visual Computing, ISVC 2014, held in Las Vegas, NV, USA. The 74 revised full papers and 55 poster papers presented together with 39 special track papers were carefully reviewed and selected from more than 280 submissions. The papers are organized in topical sections: Part I (LNCS 8887) comprises computational bioimaging, computer graphics; motion, tracking, feature extraction and matching, segmentation, visualization, mapping, modeling and surface reconstruction, unmanned autonomous systems, medical imaging, tracking for human activity monitoring, intelligent transportation systems, visual perception and robotic systems. Part II (LNCS 8888) comprises topics such as computational bioimaging , recognition, computer vision, applications, face processing and recognition, virtual reality, and the poster sessions.

关键词： Pattern Recognition computer graphics Image Processing and computer Vision User Interfaces and Human computer Interaction Information Systems Applications (incl. Internet) Computational Biology/Bioinformatics

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Advances in Visual Computing 1

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丛书名： Lecture Notes in computer science

1000年

作者： George Bebis Richard Boyle Bahram Parvin Darko Koracin Ryan McMahan Jason Jerald Hui Zhang Steven M. Drucker Chandra Kambhamettu Maha Choubassi Zhigang Deng Mark Carlson

ISBN: (数字)9783319143644

ISBN: (纸本)9783319143637

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Image-based 3D face modeling system

Image-based 3D face modeling system

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作者： Park, In Kyu Zhang, Hui Vezhnevets, Vladimir School of Information and Communication Engineering Inha University 253 Younghyun-dong Nam-gu Incheon 402-751 Korea Republic of Computing Lab Samsung Advanced Institute of Technology San 14-1 Nongseo-ri Giheung-eup Yongin 449-712 Korea Republic of Graphics and Media Lab Department of Computational Mathematics and Cybernetics Moscow State University Moscow 119899 Russia School of Information and Communication Engineering Inha University Korea Republic of IEEE IEEE Computer Society ACM Samsung Advanced Institute of Technology Yongin Korea Republic of Graphics and Media Lab Computer Science Department Moscow State University

This paper describes an automatic system for 3D face modeling using frontal and profile images taken by an ordinary digital camera. The system consists of four subsystems including frontal feature detection, profile feature detection, shape deformation, and texture generation modules. The frontal and profile feature detection modules automatically extract the facial parts such as the eye, nose, mouth, and ear. The shape deformation module utilizes the detected features to deform the generic head mesh model such that the deformed model coincides with the detected features. A texture is created by combining the facial textures augmented from the input images and the synthesized texture and mapped onto the deformed generic head model. This paper provides a practical system for 3D face modeling, which is highly automated by aggregating, customizing, and optimizing a bunch of individual computer vision algorithms. The experimental results show a highly automated process of modeling, which is sufficiently robust to various imaging conditions. The whole model creation including all the optional manual corrections takes only 2-3 minutes. © 2005 Hindawi Publishing Corporation.

关键词： computer simulation

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