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作者： Martyn, Tomek Computer Graphics Laboratory Institute of Computer Science Warsaw University of Technology ul. Nowowiejska 15/19 00-665 Warsaw Poland

This paper describes a method for estimating probability that the Chaos Game generates, within L steps, a sequence of points which approximates the IFS attractor at a given accuracy. The presented algorithm is a hybrid based on methods from the theory of Markov chains used in the pattern-matching context. Unlike the previous approaches, ours is general both in the sense of component IFS mappings and the associated probability distribution. © 2002 Elsevier science Ltd. All rights reserved.

关键词： Game theory

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Blue-c API: A multimedia and 3D video enhanced toolkit for collaborative VR and telepresence

Blue-c API: A multimedia and 3D video enhanced toolkit for c...

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Proceedings VRCAI 2004 - ACM SIGGRAPH International Conference on Virtual Reality Continuum and its Applications in Industry

作者： Naef, Martin Staadt, Oliver Gross, Markus Computer Graphics Laboratory Swiss Fed. Institute of Technology Zurich Switzerland Computer Science Department University of California Davis United States

ISBN: (纸本)1581138849

In this paper we present the blue-c application programming interface, a software toolkit for media-rich, collaborative, immersive virtual reality applications. The blue-c API provides easy to use interfaces to all blue-c technology, including immersive projection, live 3D video acquisition and streaming, audio, tracking, and gesture recognition. The integration of multimedia data, including 2D video, 3D video, and animation, into the scene graph is presented. We emphasize on our performance-optimized 3D video handling and rendering pipeline, which is capable of rendering 3D video inlays consisting of up to 30,000 fragments updated at 10 Hz in real-time, enabling remote users to meet inside our virtual environment.

关键词： Virtual reality

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A 3D shape benchmark for retrieval and automatic classification of architectural data

A 3D shape benchmark for retrieval and automatic classificat...

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2nd Eurographics Workshop on 3D Object Retrieval, EG 3DOR 2009

作者： Wessel, Raoul Blümel, Ina Klein, Reinhard Computer Graphics Group University of Bonn Germany German National Library of Science and Technology Hannover Germany

ISBN: (纸本)9783905674163

When drafting new buildings, architects make intensive use of existing 3D models including building elements, furnishing, and environment elements. These models are either directly included into the draft or serve as a source for inspiration. To allow efficient reuse of existing 3D models, shape retrieval methods considering the specific requirements of architects must be developed. Unfortunately, common 3D shape benchmarks which are used to evaluate the performance of retrieval algorithms are not well suited for architectural data. First, they incorporate models which are not related to this domain, and second and even more important, the provided classification schemes usually do not match an architect's intuition regarding their notion of design and function. To overcome these drawbacks, we present a freely downloadable shape benchmark especially designed for architectural 3D models. It currently contains 2257 objects from various content providers, including companies specialized on 3D CAD applications. All models are classified according to a scheme developed in close cooperation with architects taking into account their specific requirements regarding design and function. Additionally, we show retrieval results for this benchmark using unsupervised and supervised shape retrieval methods and discuss the specific problems regarding retrieval of architectural 3D models. © The Eurographics Association 2009.

关键词： Benchmarking

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Facial expression recognition based on feature fusion and sparse representation 2017

Facial expression recognition based on feature fusion and sp...

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9th International Conference on Machine Learning and Computing, ICMLC 2017

作者： Fu, Xiao-Feng Fu, Ke-Bo Zhang, Yu Institute of Graphics and Image School of Computer Science and Technology Hangzhou Dianzi University Hangzhou310018 China

ISBN: (纸本)9781450348171

Aiming at the limitation of single feature classification, this paper proposes a facial expression recognition algorithm based on feature fusion and sparse representation residual fusion. The proposed method is composed of three components. Firstly, a feature fusion method based on local binary quantization (LBP) and local phase quantization (LPQ) is proposed. The LBP/LPQ features are an expression feature with image space and frequency domain. Second, Curvelet transform is used to extract the global features of facial expression, which is a very effective multi-scale, band-pass and direction analysis tool. Finally, the LBP/LPQ features and the Curvelet feature are classified by the sparse representation based classification (SRC) with stronger discrimination and robustness respectively. According to the sparse residuals of LBP/LPQ+SRC and Curvelet+SRC, a classification method of residual fusion is proposed. Experiments on JAFFE database and Cohn-Kanade database show that the proposed method effectively improves the ability of facial expression recognition and achieves a high recognition rate. © 2017 ACM.

关键词： Face recognition

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Real-time droplet modeling using color-space environment matting 09

Real-time droplet modeling using color-space environment mat...

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SIGGRAPH 2009: Posters, SIGGRAPH '09

作者： Choudhury, Biswarup Hao, Pisith Chandran, Sharat Vision Graphics and Imaging Laboratory Department of Computer Science and Engineering Indian Institute of Technology Bombay India

ISBN: (纸本)9781450379281

Amongst all atmospheric phenomena, rain is probably the most commonly used effect to create realistic immersive virtual environments, and to set the mood in movie storytelling. Although not immediately obvious, the beauty of rain emanates from the interplay of the involved light-matter interaction, generating effects of refraction and reflection, coupled with scattering effects. At the core, rain consists of water droplets under the influence of gravity. Current state of the art methods of generating rain are either computationally burdening, or not realistic enough. The key idea we introduce in this paper is to consider these droplets as transparent objects in the environment matting (EM) framework. This enables careful preprocessing to discover the light transport phenomena. We end up with a free-viewpoint real-time technique of simulating realistic droplets and rain in novel environments.

关键词： Rain

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Efficient real-time shadows 13

Efficient real-time shadows

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ACM Special Interest Group on computer graphics and Interactive Techniques Conference, SIGGRAPH 2013

作者： Eisemann, Elmar Assarsson, Ulf Schwarz, Michael Valient, Michal Wimmer, Michael Delft University of Technology Netherlands Department of Computer Science and Engineering Chalmers University Sweden Guerrilla Games / Sony Computer Entertainment Netherlands Institute of Computer Graphics and Algorithms Vienna University of Technology Austria

ISBN: (纸本)9781450323390

This course provides an overview of efficient, real-time shadow algorithms. It presents the theoretical background but also discusses implementation details for facilitating efficient realizations (hard and soft shadows, volumetric shadows, reconstruction techniques). These elements are of relevance to both experts and practitioners. The course also reviews budget considerations and analyzes performance trade-offs, using examples from various AAA game titles and film previsualization tools. While physical accuracy can sometimes be replaced by plausible shadows, especially for games, film production requires more pecision, such as scalable solutions that can deal with highly detailed *** course builds upon earlier SIGGRAPH courses as well as the recent book Real-Time Shadows (A K Peters, 2011) by four of the instructors (due to its success, a second edition is planned for 2014). And with two instructors who have worked on AAA game and movie titles, the course presents interesting behindthe-scenes information that illuminates key topics.

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Unlocking transcranial FUS-EEG feature fusion for non-invasive sleep staging in next-gen clinical applications

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Neuroscience Informatics 2025年第2期5卷 100209-100209页

作者： Gupta, Suneet Gupta, Praveen Lal, Bechoo Deka, Aniruddha Sarma, Hirakjyoti Gupta, Sheifali School of Computer Science and Engineering Galgotias University Greater Noida India Dept of Computer Science and Engineering KLEF-KL University Vijayawada Campus Andhra Pradesh India Computer Science and Engineering Faculty of Engineering Assam down town University Assam India GUIST Gauhati University Assistant Professor India Centre for Research Impact & Outcome Chitkara University Institute of Engineering and Technology Chitkara University Punjab Rajpura 140401 India

Accurate and non-invasive sleep staging is essential for evaluating sleep quality and diagnosing neurological and sleep disorders. Addressing the variations in electroencephalogram (EEG) and electrooculogram (EOG) signals across different sleep stages, this study introduces a transcranial focused ultrasound (tFUS) based multimodal feature fusion deep learning model (MFDL) for automated sleep staging. The proposed framework integrates two one-dimensional convolutional neural networks (1D-CNNs) to extract sleep-relevant features from EEG and EOG signals, followed by an adaptive feature fusion module that dynamically assigns weights based on feature significance. By enhancing discriminative features and suppressing irrelevant ones, the model generates a robust multimodal representation of sleep information. Furthermore, a bidirectional long short-term memory (Bi-LSTM) network captures temporal dependencies in sleep stage transitions, improving classification accuracy. The effectiveness of MFDL is validated on the publicly available Sleep-EDF dataset, achieving 94.1% accuracy, 88.2% Kappa coefficient, and 81.9% MF1 score. Notably, the recall rates for the challenging N1 and REM sleep stages are significantly enhanced to 64.6% and 93.5%, respectively. These results highlight the potential of MFDL in enhancing tFUS-based neuromodulation by providing precise, data-driven sleep state monitoring, paving the way for advanced non-invasive brain stimulation technologies in next-gen clinical applications. © 2025 The Authors

关键词： Bi-LSTM Discriminative features EEG Next-gen clinical applications Non-invasive brain signal Sleep staging Transcranial FUS

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The Growth Rate of High-Dimensional Tree Polycubes

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Electronic Notes in Discrete Mathematics 2011年 38卷 25-30页

作者： Aleksandrowicz, Gadi Barequet, Gill Center for Graphics and Geometric Computing Dept. of Computer Science The Technion-Israel Inst. of Technology Haifa 32000 Israel

A d-dimensional polycube is a (d-1)-face-connected set of cubes in d dimensions. Fixed polycubes are considered distinct if they differ in shape or orientation. The cube-adjacency graph of a tree polycube is a tree. In this paper we investigate the asymptotic growth rate of d-dimensional tree polycubes, and estimate it at (2. d-3.5). e+. O(1/d). © 2011 Elsevier B.V.

关键词： Lattice animals Polyominoes

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Semi-Supervised Language Models for Identification of Personal Health Experiential from Twitter Data: A Case for Medication Effects 20

Semi-Supervised Language Models for Identification of Person...

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20th Workshop on Biomedical Language Processing, BioNLP 2021

作者： Zhu, Minghao Jiang, Keyuan School of Computer Science and Technology Donghua University Shanghai 201620 China Department of Computer Information Technology and Graphics Purdue University Northwest HammondIN46323 United States

ISBN: (纸本)9781954085404

First-hand experience related to any changes of one’s health condition and understanding such experience can play an important role in advancing medical science and healthcare. Monitoring the safe use of medication drugs is an important task of pharmacovigilance, and first-hand experience of effects about consumers’ medication intake can be valuable to gain insight into how our human body reacts to medications. Social media have been considered as a possible alternative data source for gathering personal experience with medications posted by users. Identifying personal experience tweets is a challenging classification task, and efforts have been made to tackle the challenges using supervised approaches requiring annotated data. There exists an abundance of unlabeled Twitter data, and being able to use such data for training without suffering in classification performance is of great value, which can reduce the cost of laborious annotation process. We investigated two semi-supervised learning methods, with different mixes of labeled and unlabeled data in the training set, to understand the impact on classification performance. Our results from both pseudo-label and consistency regularization methods show that both methods generated a noticeable improvement in F1 score when the labeled set was small, and consistency regularization could still provide a small gain even a larger labeled set was used. © 2021 Association for Computational Linguistics

关键词： Social networking (online)

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Design and Implementation of IoT based flood alert monitoring system using microcontroller 8051

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Materials Today: Proceedings 2023年 80卷 2840-2844页

作者： Chaduvula, Kavitha Kranthi kumar, K. Markapudi, Babu Rao Rathna Jyothi, Ch. Assistant Professor Department of Information Technology Gudlavalleru Engineering College Andhraparadesh Gudlavalleru India Professor and Head Department of Information Technology Gudlavalleru Engineering College Andhraparadesh Gudlavalleru India Professor and Head Department of Computer Science and Engineering Gudlavalleru Engineering College Andhraparadesh Gudlavalleru India Associate Professor Department of Computer Science and Engineering Andhra Loyola Institute of Engineering and Technology Andhraparadesh Vijayawada India

In the Internet of Things (IoT) the physical objects network is described as "things" linked to sensors, software and other technologies to connect and share information through the Internet with other devices and systems. The floods lead to large losses of life and property in several countries. However, the absence of sufficient technology results in further death and property losses as a result of flooding in developed countries. This is because of a lack of flood alert systems. The objective of this paper is to monitor the flood situation and provide a text message warning in the event of a threat. The main aim of this paper is to detect rising river water levels at a safe distance away from the railways and to allow the respective authorities to take appropriate measures by means of SMS. A sensor is a system that senses and reacts to certain physical data. The 8051 microcontrollers were produced by Intel in 1981. The microcontroller is 8-bit. It has 40 DIP pins, 4 kb of ROM stores and 128 bytes of RAM and two timers and 16 bits. It is equipped with 2 timers. There are four parallel 8-bit ports that are programmable and adjustable as necessary. The hardware device that uses GSM mobile technology for the provision of an information link with a remote network is a GSM modem or a GSM module. A float switch is a level sensor type, a fluid control system that is used inside a tank. A condenser is a tool that stores electrical energy in an electric field. It's a passive electronic feature with two terminals. A LED is a semiconductor light source that transmits light through the flowing current. Liquid Crystal Display stands for LCD. It is a thin, flat display device used in a variety of electronics. A digital electronic level shifter is a system used in the transformation of signs from one logic or voltage domain to another, also known as logic level shifter or voltage level Translation. A diode is an electronic component with a two-terminal that mainly conducts curre

关键词： Microcontrollers

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