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Numerical Analysis in visual computing What we can Learn from each Other

VIETNAM JOURNAL OF MATHEMATICS 2018年第4期46卷 745-759页

作者： Ascher, Uri M. Huang, Hui Univ British Columbia Dept Comp Sci Vancouver BC V6T 1Z4 Canada Shenzhen Univ Coll Comp Sci & Software Engn Shenzhen 518060 Peoples R China

visual computing is a wide area that includes computer graphics and image processing, where the "eye-ball norm" rules. This paper discusses two case studies involving numerical methods and analysis applied to this wide domain. The focus is on highlighting relative strengths in those intersection areas where there are many problems of interest both to numerical analysts and to researchers in the visual computing community. The first involves motion simulation and calibration of soft objects such as cloth, plants, and skin. The governing elastodynamics PDE system, discretized in space already at the variational level using co-rotated FEM, leads to a large, expensive to assemble, dynamical system in time, where the damped motion may mask highly oscillatory stiffness. Geometric integration and exponential time differencing ideas are making their way into visual computing research these days in search for more quantitative computations that are required for applications such as control and 3D printing. The other case study involves some image processing problems where there is a premium for local approaches that do not necessarily use underlying PDEs. The popular paradigm of solving a data fitting problem with a penalty term involving the gradient or higher derivatives of a function approximating the sought surface is employed in the visual community much less often than in the numerical analysis community. We explain why. Concepts are demonstrated and discussed.

关键词： visual computing Numerical analysis Image processing Elastodynamics Computer graphics

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visual computing resources distribution and balancing by multimodal cat swarm optimization

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SIGNAL PROCESSING-IMAGE COMMUNICATION 2020年 85卷 115816-115816页

作者： Deng, Bo Yu, Xiaomo Yan, Guiqin Wu, Ligang Qiqihar Med Univ Affiliated Hosp 3 Qiqihar 161000 Peoples R China Nanning Normal Univ Dept Logist Management & Engn Nanning 530001 Peoples R China

According to the fast development of Internet technologies, nowadays more and more web applications require accessing and processing massive-scale visual data, such as content image search and automatic navigation. Practically, the computing power of a single personal PC is insufficient for handling such massive-scale visual elements. Owing to the advancement of cloud platforms, this problem can be well handled. In this work, we study the problem of how to optimally distribute the P visual processing tasks to Q computing resources. Specifically, we proposed an enhanced multimodal cat swarm optimization (MCSO) algorithm to fulfill this task. Given a huge number of images/videos, we first extract color, texture, and semantic channel to represent the visual content of each image/video. Afterward, we develop a mull-view feature learning algorithm to intelligently combine the multiple features into a descriptive one, wherein the weights of different feature channels are adjusted automatically. Subsequently, we use the CSO algorithm to assign each image/video to different remote servers. The CSO algorithm mimics the conventional cat hunting process, that is, a set of cats is divided into two groups, one for searching and the other for tracking. The two patterns are interacted by the mixture ratio, which indicates how many cats will conduct tracking in the next round. Based on the output of CSO, each image/video will be assigned to the most optimal remote sensor. Finally, based on the optimal assignment, the image/video processing can be conducted with the minimal time consumption. Comprehensive experimental comparisons have demonstrated the advantages of our method, that is, our MCSO can achieve a visual processing time three times faster than the second best performer.

关键词： visual computing Resources distribution Multi-view feature fusion Cat swarm optimization Mixture ratio

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Larrabee: A many-core x86 architecture for visual computing

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ACM TRANSACTIONS ON GRAPHICS 2008年第3期27卷

作者： Seiler, Larry Carmean, Doug Sprangle, Eric Forsyth, Tom Abrash, Michael Dubey, Pradeep Junkins, Stephen Lake, Adam Sugerman, Jeremy Cavin, Robert Espasa, Roger Grochowski, Ed Juan, Toni Hanrahan, Pat Intel Corp Santa Clara CA 95051 USA Stanford Univ Stanford CA 94305 USA

This paper presents a many-core visual computing architecture code named Larrabee, a new software rendering pipeline, a many-core programming model, and performance analysis for several applications. Larrabee uses multiple in-order x86 CPU cores that are augmented by a wide Vector processor unit, as well as some fixed function logic blocks. This provides dramatically higher performance per watt and per unit of area than out-of-order CPUs on highly parallel workloads. It also greatly increases the flexibility and programmability of the architecture as compared to standard GPUs. A coherent on-die 2(nd) level cache allows efficient inter-processor communication and high-bandwidth local data access by CPU cores. Task scheduling is performed entirely with software in Larrabee, rather than in fixed function logic. The customizable software graphics rendering pipeline for this architecture uses binning in order to reduce required memory bandwidth, minimize lock contention, and increase opportunities for parallelism relative to standard GPUs. The Larrabee native programming model supports a variety of highly parallel applications that use irregular data structures. Performance analysis on those applications demonstrates Larrabee's potential for a broad range of parallel computation.

关键词： graphics architecture many-core computing real-time graphics software rendering throughput computing visual computing parallel processing SIMD GPGPU

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Development of visual computing systems for fluid dynamics simulations

JSME International Journal, Series B

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JSME International Journal, Series B 2000年第1期43卷 1-11页

作者： Tamura, Yoshiaki Intelligent Modeling Laboratory University of Tokyo Yayoi 2-11-16 Bunkyo-ku Tokyo 113-8656 Japan

visual computing is an advanced simulation in which the intermediate computed results are visualized during the computations. In the present paper, two visual computing systems aiming for the practical research use were developed for the fluid dynamics simulations. One is a system for rather small scale simulations, i.e. two-dimensional computations or scheme developments, and runs on a single graphics workstation. The other is a system for small to large scale simulations, i.e. three-dimensional computations, and runs on a system of one graphics workstation and one CPU server. Both systems are machine-independent. Several examples including the elapsed time measurements of the simulation, the graphics and the data transfer show various use of the visual computing, the achievement of the designed features of the present systems and the advantage of the visual computing to the "postprocess" visualization.

关键词： Computational fluid dynamics Interactive visual computing visualization

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Advances in visual computing 2006

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丛书名： Lecture Notes in Computer Science

2006年

作者： Richard Boyle Bahram Parvin Darko Koracin Ara Nefian Gopi Meenakshisundaram Valerio Pascucci Jiri Zara Jose Molineros Holger Theisel Tom Malzbender

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Larrabee: a many-core x86 architecture for visual computing 08

Larrabee: a many-core x86 architecture for visual computing

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ACM SIGGRAPH 2008 papers

作者： Larry Seiler Doug Carmean Eric Sprangle Tom Forsyth Michael Abrash Pradeep Dubey Stephen Junkins Adam Lake Jeremy Sugerman Robert Cavin Roger Espasa Ed Grochowski Toni Juan Pat Hanrahan Intel® Corporation RAD Game Tools Stanford University

ISBN: (纸本)9781450301121

This paper presents a many-core visual computing architecture code named Larrabee, a new software rendering pipeline, a manycore programming model, and performance analysis for several applications. Larrabee uses multiple in-order x86 CPU cores that are augmented by a wide vector processor unit, as well as some fixed function logic blocks. This provides dramatically higher performance per watt and per unit of area than out-of-order CPUs on highly parallel workloads. It also greatly increases the flexibility and programmability of the architecture as compared to standard GPUs. A coherent on-die 2nd level cache allows efficient inter-processor communication and high-bandwidth local data access by CPU cores. Task scheduling is performed entirely with software in Larrabee, rather than in fixed function logic. The customizable software graphics rendering pipeline for this architecture uses binning in order to reduce required memory bandwidth, minimize lock contention, and increase opportunities for parallelism relative to standard GPUs. The Larrabee native programming model supports a variety of highly parallel applications that use irregular data structures. Performance analysis on those applications demonstrates Larrabee's potential for a broad range of parallel computation.

关键词： parallel processing visual computing graphics architecture many-core computing throughput computing SIMD software rendering GPGPU realtime graphics

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Larrabee: A many-Core x86 architecture for visual computing

Larrabee: A many-Core x86 architecture for visual computing

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IEEE Hot Chips Symposium (HCS)

作者： Doug Carmean Larrabee Chief Architect Hot Chips 20

This article consists of a collection of slides from the author's conference presentation. Some of the topics discussed include: architecture convergence; Larrabee architecture; and graphics pipeline.

关键词： Graphics processing units Computer architecture visualization Rendering (computer graphics) visual computing Multithreading Central Processing Unit Pipeline processing Parallel processing

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Dynamic emotional memory analysis in digital animation via expression recognition and scene atmosphere enhancement

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JOURNAL OF visual COMMUNICATION AND IMAGE REPRESENTATION 2025年 108卷

作者： Pu, Pengju Hao, Jianjun Ma, Dingding Yan, Jiangting Shaanxi Fash Engn Univ Art Design Coll Xian 712046 Peoples R China Shaanxi Fash Engn Univ Sci Res Off Xian 712046 Peoples R China

Digital animation serves as a crucial medium for conveying emotions and values. To grasp the emotional perspectives within digital animation, this paper introduces an emotional memory analysis approach grounded in dynamic features. Initially, leveraging the bidirectional alignment mechanism, a CNN-based expression recognition system is proposed to extract the expressive information of characters in the animation. Subsequently, a sentiment analysis technique tailored for enhancing single-frame animation scenes is presented, addressing the issue of atmosphere intensification in these scenes. Ultimately, by integrating expression information and atmosphere data, a sentiment analysis method focused on dynamic features is suggested to establish the emotional relationship between frames, thereby deriving the emotional value of digital animation. Experiments can conclude that our method can obtain the excellent results which are better than state-of-the-art and can realize the emotional polarity analysis of digital animation content.

关键词： visual computing Multimedia processing Digital animation Emotion polarity Dynamic feature

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An open data collection of 3D tool and equipment models for neonatology

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RESULTS IN ENGINEERING 2025年 25卷

作者： Bardelli, Serena Coro, Gianpaolo Scaramuzzo, Rosa T. Ciantelli, Massimiliano Cuttano, Armando AOUP Ctr Formaz & Simulaz Neonatale NINA Dipartimento Materno Infantile UO Neonatol Via Roma 67 I-56100 Pisa Italy Ist Sci & Tecnol Informaz A Faedo Consiglio Nazl Ric Via Moruzzi 1 I-56124 Pisa Italy

Virtual Simulation (VS) offers an elegant and effective solution to the current need for innovation in medical education, thanks to the possibility of creating low-cost, realistic training environments for repetitive practice without compromising patient safety. However, this training methodology is only adopted in some healthcare settings often because of the absence of free digital libraries of clinical assets and tools. The present technical note describes a data collection of 3D models representing crucial tools and equipment used in maternal and newborn care training. We used free-to-use photogrammetry and structure-from-motion software and computational platform for 3D object reconstruction to digitalize the physical clinical instruments typically used during maternal and newborn care. In particular, we acquired photographs of 34 physical objects and reconstructed them as 3D models. Additionally, we created a complete, navigable virtual training room containing the 3D models. Eventually, we published the 3D models and the virtual training room as an open-access data collection on Sketchfab (a free-to-use online digital platform for 3D model publication), from which all models can be freely downloaded and inspected through Web browsers, mobile applications, and Virtual and Augmented Reality devices. Our data collection and repeatable and cost-effective methodology open new opportunities to use VS for training through simulation in healthcare.

关键词： Photogrammetry Healthcare visual computing Digital libraries Open access 3D object reconstruction 3D models Structure-from-motion

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PeruFoodNet: A unique dataset of traditional peruvian food for image recognition systems and allergenic ingredient inference

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Data in Brief 2025年 60卷

作者： María Franchesca Arzola Gutierrez Edgar Alexander Canchari Muñoz Edwin Jonathan Escobedo Cárdenas Carrera de Ingeniería de Sistemas Facultad de Ingeniería Universidad de Lima. Av. Javier Prado Este 4600 Santiago de Surco 15023 Perú

Peruvian cuisine has won numerous international awards, attracting tourists from around the world to Peru to experience its diverse culinary offerings. However, some dishes contain ingredients that can trigger allergic reactions, posing a potential health risk for visitors. To address this, we created PeruFoodNet, a dataset featuring 4,000 images of traditional Peruvian dishes. The dataset includes 40 of the most popular dishes, such as Ceviche and Anticuchos, with 100 images of each dish. The images of the dishes have been captured from various angles, settings, lighting conditions, dimensions and backgrounds. To gather these images, we prepared the dishes ourselves, purchased some from restaurants, and received contributions from external users over a two-month period. However, most of the images were captured by the authors of the dataset. The dataset is publicly available and can be valuable for research in image recognition and classification using Computer Science techniques, such as Deep Learning. Additionally, it can aid in identifying allergenic ingredients in dishes by linking the dish’s image to a list of ingredients through a technological platform, such as a chatbot or an app.

关键词： Gastronomy Food allergens Food classification visual computing Deep learning

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