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IEEE International Conference on Consumer Electronics (ICCE)

作者： Yong-Hao Hu Kenichiro Ito Ayumi Igarashi Virtual Reality Educational Research Center The University of Tokyo Tokyo Japan Information Technology Center The University of Tokyo Tokyo Japan Graduate School of Medicine The University of Tokyo Tokyo Japan

Full-body avatars are suggested to be beneficial for communication in virtual environments, and consistency between users’ voices and gestures is considered essential to ensure communication quality. This paper propose extending the functionality of a web-based VR platform to support the use of full-body avatars and delegated avatar transforms synchronization to WebRTC DataChannel to enhance the consistency between voices and gestures. Finally, we conducted a preliminary validation to confirm the consistency.

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Digital styling for designers: 3D plane-symmetric freeform curve creation using sketch interface

Digital styling for designers: 3D plane-symmetric freeform c...

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International Conference on Computational Science and its Applications, ICCSA 2003

作者： Bae, Seok-Hyung Kijima, Ryugo Kim, Won-Sup Virtual Reality Research Center Korea Advanced Institute of Science and Technology 373-1 Guseong-dong Yuseong-gu Daejeon305-701 Korea Republic of Virtual System Laboratory Gifu University 1-1 Yanagido Gifu501-1193 Japan Department of Industrial Design Korea Advanced Institute of Science and Technology 373-1 Guseong-dong Yuseong-gu Daejeon305-701 Korea Republic of

ISBN: (纸本)3540401563

The 3D evaluation of design shapes is an essential step in product styling. Thus, physical models of final-stage design alternatives have been made in tradition, and recently the effort to substitute them with CAD models has been tried. Whereas, designers in the early phase of the design-development stage where almost design concepts are determined, still use raster-type 2D graphics S/Ws. It causes not only the difficulty of evaluating 3D shapes but also the serious severance of a digital dis-connectivity with downstream processes. This paper presents a method of directly constructing 3D plane-symmetric freeform curves with a sketch interface, as the first step of developing a sketch-based 3D-freeform shape creation S/W for designers. A curve drawn by the designer within the see-through box in an arbitrary perspective view, is simultaneously converted to a real space curve without the 3D ambiguity problem except only special cases to be specified. © Springer-Verlag Berlin Heidelberg 2003.

关键词： Product design

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Using novel shape, color and texture descriptors for human hand detection

Using novel shape, color and texture descriptors for human h...

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International Bhurban Conference on Applied Sciences & technology, IBCAST

作者： Muhammad Ali Abdul Aziz Jianwei Niu Xiaoke Zhao Jiangwei Li Kongqiao Wang Beihang University Beijing CN State Key Laboratory of Virtual Reality Technology and Svstems Beihang University Beijing China Nokia Research Center Beijing China

In this paper, we present a robust feature set to detect human hands in still images having simple as well as complex backgrounds. Our method relies on using a blend of existing and new shape-based, color-based and texture-based features. First, we identify the shortcomings of two existing features: Histograms of Oriented Gradient (HOG) and Color Name (CN). For HOG, we investigate the scenarios where the traditional block normalization schemes generate noisy results in near uniform regions in the image background and impede the accurate detection of human hands. We offer a more effective block normalization scheme for our new shape-based feature, αHOG, which results in considerably improved detection. Our new color-based feature, Clipped Color Name (CCN), caters for the noise induced color labels encountered in the CN feature, by modifying the probability assignment method for the basic colors in each pixel. For capturing the texture cues, we employ Local Binary Patterns (LBP) and Local Trinary Patterns (LTP). We compare the relative performance of the individual features in isolation and in different feature sets. For feature sets' comparison, the issue of high dimensional feature space generated as a result of feature fusion is addressed by using Partial Least Squares (PLS) for dimensionality reduction. Subsequently, we employ the non-linear Radial Basis Function Support Vector Machine (RBF SVM) classifier on PLS reduced feature sets. In our experiments, we use two different image datasets, namely the benchmark Cambridge Gesture Dataset (having simple backgrounds) and our own dataset (having a wider variety of complex backgrounds). Based on the experimental results, we find that out of the four feature sets we use, the feature set consisting of αHOG, CCN and LTP gives the best results in terms of the combined criteria of classification accuracy and computation time, and also offers improvement over the feature set proposed by Hussain and Triggs [1].

关键词： Image color analysis Feature extraction Support vector machines Image edge detection Vectors Histograms Kernel

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An efficient spatial anti-aliasing method for deferred shading

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Computer Aided Drafting,Design and Manufacturing 2017年第2期27卷 57-63页

作者： Ye Chengchun Lai Shunnan Li Sheng Peking University Shenzhen Graduate School Beijing Engineering Technology Research Center of Virtual Simulation and Visualization (Peking University) School of Electronics Engineering and Computer Science Peking University Peking University Information Technology Institute (Tianjin Binhai)

In recent years, image-based anti-aliasing techniques have been widely investigated in real-time computer graphics. Compared to traditional routine of anti-aliasing, image-based methods, which combined with deferred shading, can efficiently decouple anti-aliasing step from standard graphics pipeline. However, most of the existing image-based methods consume video memory, bandwidth and computation resources heavily. In this paper, we propose an optimized anti-aliasing method, which can efficiently reduce the multi-sampling rate by a multi-sampling mask. We carefully designed the rendering system to avoid serial execution on branch divergence, by utilizing both modern GPU’s features and latest shader model. Experimental results demonstrate that our method can achieve high-quality synthesized image with real-time performance.

关键词： anti-aliasing deferred shading compute shader execution divergence

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Digital styling for designers: Sketch emulation in computer environment

Digital styling for designers: Sketch emulation in computer ...

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International Conference on Computational Science and its Applications, ICCSA 2003

作者： Bae, Seok-Hyung Kim, Won-Sup Kwon, Eun-Sook Virtual Reality Research Center Korea Advanced Institute of Science and Technology 373-1 Guseong-dong Yuseong-gu Daejeon305-701 Korea Republic of Department of Industrial Design Korea Advanced Institute of Science and Technology 373-1 Guseong-dong Yuseong-gu Daejeon305-701 Korea Republic of Virtual System Laboratory Gifu University 1-1 Yanagido Gifu501-1193 Japan

ISBN: (纸本)3540401563

The digitalization of product-styling tools for the early designdevelopment stage has focused on using raster-type graphics S/Ws. These kinds of S/Ws enable designers freely to generate ideas, and enhance them based on their creativity and aesthetic senses. However, resultants from raster-type tools are no more than images, which are hardly converted to digital forms required by downstream processes. Thus, it still remains as an obstacle for both designers and engineers to work harmoniously and simultaneously in the new-product development process through concurrent engineering. This paper proposes a new digitalstyling tool for designers by emulating a design sketch. The research process is summarized as: 1) observing designers’ sketch behaviors and their works, 2) analyzing designers’ sketch behavior patterns for extracting sketch elements, and 3) mapping them to digital forms. The proposed digital-sketch method not only allows designers to perform their creative work, but also provides digital connectivity for concurrent engineering. © Springer-Verlag Berlin Heidelberg 2003.

关键词： Concurrent engineering

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Unleashing the Power of Multi-Agent Reinforcement Learning for Algorithmic Trading in the Digital Financial Frontier and Enterprise Information Systems

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Computers, Materials & Continua 2024年第8期80卷 3123-3138页

作者： Saket Sarin Sunil K.Singh Sudhakar Kumar Shivam Goyal Brij Bhooshan Gupta Wadee Alhalabi Varsha Arya Chandigarh College of Engineering and Technology Chandigarh160019India Department of Computer Science and Information Engineering Asia UniversityTaichung413Taiwan Symbiosis Centre for Information Technology(SCIT) Symbiosis International UniversityPune411057India Center for Interdisciplinary Research University of Petroleum and Energy Studies(UPES)Dehradun248007India Department of Computer Science Immersive Virtual Reality Research GroupKing Abdulaziz UniversityJeddah21589Saudi Arabia Department of Business Administration Asia UniversityTaichung413Taiwan Department of Electrical and Computer Engineering Lebanese American UniversityBeirut11022801Lebanon UCRD Chandigarh UniversityChandigarh140413India

In the rapidly evolving landscape of today’s digital economy,Financial technology(Fintech)emerges as a trans-formative force,propelled by the dynamic synergy between Artificial Intelligence(AI)and Algorithmic *** in-depth investigation delves into the intricacies of merging Multi-Agent Reinforcement Learning(MARL)and Explainable AI(XAI)within Fintech,aiming to refine Algorithmic Trading *** meticulous examination,we uncover the nuanced interactions of AI-driven agents as they collaborate and compete within the financial realm,employing sophisticated deep learning techniques to enhance the clarity and adaptability of trading *** AI-infused Fintech platforms harness collective intelligence to unearth trends,mitigate risks,and provide tailored financial guidance,fostering benefits for individuals and enterprises navigating the digital *** research holds the potential to revolutionize finance,opening doors to fresh avenues for investment and asset management in the digital ***,our statistical evaluation yields encouraging results,with metrics such as Accuracy=0.85,Precision=0.88,and F1 Score=0.86,reaffirming the efficacy of our approach within Fintech and emphasizing its reliability and innovative prowess.

关键词： Neurodynamic Fintech multi-agent reinforcement learning algorithmic trading digital financial frontier

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High performance flow field visualization with high-order access dependencies

High performance flow field visualization with high-order ac...

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IEEE Scientific visualization Conference (SciVis)

作者： Jiang Zhang Hanqi Guo Xiaoru Yuan Key Laboratory of Machine Perception (Ministry of Education) Peking University Argonne National Laboratory Beijing Engineering Technology Research Center of Virtual Simulation and Visualization Peking University

We present a novel model based on high-order access dependencies for high performance pathline computation in flow field. The high-order access dependencies are defined as transition probabilities from one data block to other blocks based on a few historical data accesses. Compared with existing methods which employed first-order access dependencies, our approach takes the advantages of high order access dependencies with higher accuracy and reliability in data access prediction. In our work, high-order access dependencies are calculated by tracing densely-seeded pathlines. The efficiency of our proposed approach is demonstrated through a parallel particle tracing framework with high-order data prefetching. Results show that our method can achieve higher data locality than the first-order access dependencies based method, thereby reducing the I/O requests and improving the efficiency of pathline computation in various applications.

关键词： Prefetching Data visualization Computational modeling Data models Electronic mail Scalability Computational fluid dynamics

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Speech emotion recognition using emotion perception spectral feature

Speech emotion recognition using emotion perception spectral...

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作者： Jiang, Lin Tan, Ping Yang, Junfeng Liu, Xingbao Wang, Chao Institute of Big Data and Internet Innovation College of Computer and Information Engineering Key Laboratory of Hunan Province for New Retail Virtual Reality Technology Hunan University of Commerce Changsha China College of Software East China University of Technology Nanchang China Collaborative Innovation Center for Economics Crime Investigation and Prevention Technology Jiangxi Police College Nanchang China National Engineering Research Center for Multimedia Software Wuhan University Wuhan China

Speech emotion recognition is an important technique for human-computer interface applications. Due to contain rich information of emotion, the spectral feature is widely used for emotion recognition. However, the recognition performance is limited because of imprecise extracted rule and uncertain size of resolution of spectral feature. To address this issue, motivated by speech coding, we introduced psychoacoustics model, provided a perception spectral subband partition method for obtaining more precise frequency resolution. Moreover, we also provided a new spectral feature on the divided subband frequency signals. The proposed feature includes emotional perception entropy, spectral inclination, and spectral flatness. Then, a Support Vector Machine classifier is used to recognize emotion categories. The experiment results show that the proposed spectral feature is superior to the traditional MFCC feature, and also better than the state-of-the-art Fourier feature and multi-resolution amplitude feature. © 2019 John Wiley & Sons, Ltd.

关键词： Emotion Recognition

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Synchronizing Full-Body Avatar Transforms with WebRTC DataChannel on Educational Metaverse

arXiv

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arXiv 2023年

作者： Hu, Yong-Hao Ito, Kenichiro Igarashi, Ayumi Virtual Reality Educational Research Center The University of Tokyo Tokyo Japan Information Technology Center The University of Tokyo Tokyo Japan Graduate School of Medicine The University of Tokyo Tokyo Japan

关键词： User interfaces

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A bottom-up scheme for user-defined feature exploration in vector field ensembles

A bottom-up scheme for user-defined feature exploration in v...

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IEEE Scientific visualization Conference (SciVis)

作者： Richen Liu Hanqi Guo Xiaoru Yuan Key Laboratory of Machine Perception (Ministry of Education) Peking University Argonne National Laboratory Beijing Engineering Technology Research Center of Virtual Simulation and Visualization Peking University

Most of the existing approaches to visualize vector field ensembles are achieved by visualizing the uncertainty of individual variables from different simulation runs. However, the comparison of the derived feature or user-defined feature, such as the vortex in ensemble flow is also of vital significance since they often make more sense according to the domain knowledge. In this work, we present a framework to extract user-defined feature from different simulation runs. Specially, we use a bottom-up searching scheme to help to extract vortex with a user-defined shape, and further compute the geometry information including the size, and the geo-spatial location of the extracted vortex. Finally we design some linked views to compare the feature between different runs.

关键词： Three-dimensional displays Meteorology visualization Feature extraction Computational modeling Data models Data visualization

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