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Semi-stationary subdivision operators in geometric modeling

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Progress in Natural Science:Materials International 2002年第10期 54-58页

作者： ZHANG Hongxin and WANG Guojin(State Key Laboratory of CAD & CG, institute of computer Images and graphics, Zhejiang University, Hangzhou 310027, China) State Key Laboratory of CAD & CG Institute of Computer Images and Graphics Zhejiang University Hangzhou 310027 China

Based on the view of operator, a novel uniform subdivision construction method is proposed for free form curve and surface design. This method can give an appropriate manner of parameter change in the subdivision iteration with fewer parameters and better shape control, such as building local revolving surfaces. The convergent property of order 2 subdivision surface is elegantly analyzed using computing techniques of matrix. This method is promised to be valuable in computer Aided Design and computer graphics, due to the simplicity both in mathematical theory and practical implementation, the similarity to the B-spline curve and surface, G1 continuity, the affine invariability and local flexible control.

关键词： surface modeling subdivision operator subdivision surface geometric continuity.

Accelerated Backward Warping

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Journal of computer Science & Technology 2003年第1期18卷 48-55页

作者：张严辞刘学慧吴恩华 Key Laboratory of computer Science Institute of Software The Chinese Academy of Sciences Beijing 100080 P.R. China Key Laboratory of computer Science Institute of Software The Chinese Academy of Sciences Beijing 100080 P.R. ChinaFaculty of Computer Science and Technology University of Macao Macao P.R. China

In this paper a plane-based backward warping algorithm is proposed to generate novel views from multiple reference images. First, depth information is employed to reconstruct space planes from individual reference images and calculate the potential occluding relationship between these planes. Then the planes which represent each identical space plane from different reference images are compared with each other to decide the one with the best sample rate to be preserved and used in the later warping period while the other samples are abandoned. While the image of a novel view is produced, traditional methods in computer graphics, such as visibility test and clipping, are used to process the planes reconstructed. Then the planes processed are projected onto the desired image from the knowledge on which plane the desired image pixels are warped from can be acquired. Finally, pixels' depth of the desired image is calculated and then a backward warping is performed from these pixels to the reference images to obtain their colors. The storage requirement in the algorithm is small and increases slowly with the number of reference images increases. By combining the strategy of only preserving the best sample parts and the backward warping algorithm, the sample problem could be well tackled.

关键词： image-based rendering depth image backward warping sample rate

Adaptive narrow band MultiFLIP for efficient two-phase liquid simulation

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Science China(Information Sciences) 2018年第11期61卷 223-225页

作者： Luan LYU Xiaohua REN Wei CAO Jian ZHU Enhua WU Faculty of Science and Technology University of Macau School of computer Science Guangdong University of Technology State Key Laboratory of computer Science Institute of Software Chinese Academy of Sciences

Liquid-gas interactions produce many interesting phenomena such as droplets, bubbles, and the"glugging" effect of water pouring. Reproducing those phenomena, however, are difficult problems in both the computational physics and computer graphics communities. In order to simulate these two-phase phenomena, Boyd and Bridson [1] proposed the Multi FLIP method, which is an extension of the fluid implicit particle (FLIP) method introduced by Zhu and Bridson [2] and preserves all its good properties such as excellent conservation of energy with little dissipation.

关键词： Figure

Systematic analysis of artificial intelligence in the era of industry 4.0

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Journal of Management Analytics 2023年第1期10卷 89-108页

作者： Weiru Chen Wu He Jiayue Shen Xin Tian Xianping Wang Department of Information Technology&Decision Science Old Dominion UniversityNorfolkVAUSA Department of computer&Information Science Arkansas Tech UniversityRussellvilleARUSA Department of Engineering Technology SUNY Polytechnic InstituteUticaNYUSA College of Computing and Software Engineering Kennesaw State UniversityMariettaGAUSA computer Information Technology&graphics Department Purdue University NorthwestHammondINUSA

Artificial Intelligence has been playing a profound role in the global economy,social progress,and people’s daily *** the increasing capabilities and accuracy of AI,the application of AI will have more impacts on manufacturing and service areas in the era of industry *** study conducts a systematic literature review to study the state-of-the-art on AI in industry *** paper describes the development of industries and the evolution of *** paper also identifies that the development and application of AI will bring not only opportunities but also challenges to industry *** findings provide a valuable reference for researchers and practitioners through a multi-angle systematic analysis of *** the era of industry 4.0,AI system will become an innovative and revolutionary assistance to the whole industry.

关键词： Industry 4.0 AI deep learning neural network supervised learning unsupervised learning reinforced learning

Microsnoop: A generalist tool for microscopy image representation

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The Innovation 2024年第1期5卷 109-117页

作者： Dejin Xun Rui Wang Xingcai Zhang Yi Wang Pharmaceutical Informatics institute College of Pharmaceutical SciencesZhejiang UniversityHangzhou 310058China State Key Lab of computer-Aided Design&computer graphics Zhejiang UniversityHangzhou 310058China John A.Paulson School of Engineering and Applied Sciences Harvard UniversityCambridgeMA 02138USA Innovation institute for Artificial Intelligence in Medicine of Zhejiang University Hangzhou 310018China National Key Laboratory of Chinese Medicine Modernization Innovation Center of Yangtze River DeltaZhejiang UniversityJiaxing 314100China

Accurate profiling of microscopy images from small scale to high throughput is an essential procedure in basic and applied biological ***,we present Microsnoop,a novel deep learning–based representation tool trained on large-scale microscopy images using masked self-supervised *** can process various complex and heterogeneous images,and we classified images into three categories:single-cell,full-field,and batch-experiment *** benchmark study on 10 high-quality evaluation datasets,containing over 2,230,000 images,demonstrated Microsnoop’s robust and state-ofthe-art microscopy image representation ability,surpassing existing generalist and even several custom *** can be integrated with other pipelines to perform tasks such as superresolution histopathology image and multimodal ***,Microsnoop can be adapted to various hardware and can be easily deployed on local or cloud computing *** will regularly retrain and reevaluate the model using communitycontributed data to consistently improve Microsnoop.

关键词： hardware image representation

A Construction of Object Detection Model for Acute Myeloid Leukemia

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Intelligent Automation & Soft Computing 2023年第4期36卷 543-560页

作者： K.Venkatesh S.Pasupathy S.P.Raja Department of computer Science and Engineering Annamalai UniversityChidambaram608002India School of computer Science and Engineering Vellore Institute of TechnologyVellore632014India

The evolution of bone marrow morphology is necessary in Acute Mye-loid Leukemia(AML)*** takes an enormous number of times to ana-lyze with the standardization and inter-observer ***,we proposed a novel AML detection model using a Deep Convolutional Neural Network(D-CNN).The proposed Faster R-CNN(Faster Region-Based CNN)models are trained with Morphological *** proposed Faster R-CNN model is trained using the augmented *** overcoming the Imbalanced Data problem,data augmentation techniques are *** Faster R-CNN performance was com-pared with existing transfer learning *** results show that the Faster R-CNN performance was signiﬁcant than other *** number of images in each class is *** example,the Neutrophil(segmented)class consists of 8,486 images,and Lymphocyte(atypical)class consists of eleven *** dataset is used to train the CNN for single-cell morphology classiﬁ*** proposed work implies the high-class performance server called Nvidia Tesla V100 GPU(graphics processing unit).

关键词： Acute myeloid leukemia(AML) convolutional neural network(CNN) and nvidia tesla v100 gpu

A survey on deep geometry learning:From a representation perspective

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Computational Visual Media 2020年第2期6卷 113-133页

作者： Yun-Peng Xiao Yu-Kun Lai Fang-Lue Zhang Chunpeng Li Lin Gao institute of Computing Technology Chinese Academy of SciencesBeijingChina School of computer Science and Informatics Cardiff UniversityWalesUK School of Engineering and computer Science Victoria University of WellingtonWellingtonNew Zealand

Researchers have achieved great success in dealing with 2 D images using deep *** recent years,3 D computer vision and geometry deep learning have gained ever more *** advanced techniques for 3 D shapes have been proposed for different *** 2 D images,which can be uniformly represented by a regular grid of pixels,3 D shapes have various representations,such as depth images,multi-view images,voxels,point clouds,meshes,implicit surfaces,*** performance achieved in different applications largely depends on the representation used,and there is no unique representation that works well for all ***,in this survey,we review recent developments in deep learning for 3 D geometry from a representation perspective,summarizing the advantages and disadvantages of different representations for different *** also present existing datasets in these representations and further discuss future research directions.

关键词： 3D shape representation geometry learning neural networks computer graphics

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A fast audio digital watermark method based on counter-propagation neural networks

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通讯和计算机（中英文版） 2009年第7期6卷 20-25页

作者： WU Guo-hua ZHOU Xiao-dong institute of graphics and Image Hangzhou Dianzi University Hangzhou 310018 China

A CLASS OF INEQUALITIES ABOUT BERNSTEIN POLYNOMIAL AND THEIR APPLICATIONS

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Applied Mathematics(A Journal of Chinese Universities) 2006年第3期21卷 350-356页

作者： Deng Chongyang Yang Xunnian Dept. of math. Zhejiang Univ. Hangzhou 310027 China institute of computer Images and graphics Zhejiang Univ. Hangzhou 310027 China.

In this paper a class of new inequalities about Bernstein polynomial is established. With these inequalities, the estimation of heights, the derivative bounds of Bézier curves and rational Bézier curves can be impro... 详细信息

关键词： Bernstein polynomial inequality Bézier curve rational Bézier curve height derivative bound.

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