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检索条件"任意字段=Brazilian Symposium on Computer Graphics and Image Processing"

共 3050 条记录，以下是571-580 订阅

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29th SIBGRAPI Conference on graphics, Patterns and images (SIBGRAPI)

作者： Nakanishi, Rafael Umino Ono, Jorge Piazentin Pagliosa, Paulo Nonato, Luis Gustavo Paiva, Afonso Univ Sao Paulo ICMC Sao Carlos SP Brazil NYU Sch Engn New York NY USA Univ Fed Mato Grosso do Sul FACOM Campo Grande Brazil

ISBN: (纸本)9781509035687

This paper presents a novel 3D partial shape retrieval algorithm based on time-series analysis. Given a piece of a 3D shape, the proposed method encodes the shape descriptor given by the Heat Kernel Signature (HKS) as a time-series, where the time is considered an ordered sequence of vertices provided by the Fiedler vector. Finally, a similarity metric is created using a well-known tool in time-series analysis called Cross Recurrence Plot (CRP). The good performance of our method is also attested in a large collection of shape models.

关键词： Partial Shape Retrieval Cross Recurrence Plot Heat Kernel Signature Fiedler Vector Time-Series Analysis Geometry processing

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A Genetically Programmable Hybrid Virtual Reconfigurable Architecture for image Filtering Applications 29

A Genetically Programmable Hybrid Virtual Reconfigurable Arc...

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29th SIBGRAPI Conference on graphics, Patterns and images (SIBGRAPI)

作者： Almeida, M. A. Pedrino, E. C. Nicoletti, M. C. Univ Fed Sao Carlos Comp Sci Dept Sao Carlos SP Brazil Univ Fed Sao Carlos Comp Sci Dept Sao Carlos SP Brazil FACCAMP Campo Limpo Paulista SP Brazil

ISBN: (纸本)9781509035687

A new and efficient automatic hybrid method, called Hy-EH, based on Virtual Reconfigurable Architectures (VRAs) and implemented in Field Programmable Gate Arrays (FPGAs) is proposed, for a hardware-embedded construction of image filters. The method also encompass an evolutionary software system, which represents the chromosome as a bi-dimensional grid of function elements (FEs), entirely parameterized using the Verilog-HDL (Verilog Hardware Description Language), which is reconfigured using the MATLAB toolbox GPLAB, before its download into the FPGA. In the so-called intrinsic proposals, evolutionary processes take place internally to the hardware, in a pre-defined fixed way;in extrinsic proposals evolutionary processes happen externally to the hardware. The hybrid Hy-EH method, described in this paper allows for the intrinsic creation of a flexible-sized hardware, in an extrinsic way i.e., by means of an evolutionary process that happens externally to the hardware. Hy-EH is also a convenient choice as far as extrinsic methods are considered, since it does not depend on a proprietary solution for its implementation. A comparative analysis of using the Hy-EH versus an existing intrinsic proposal, in two well-known problems, has been conducted. Results show that by using Hy-EH there was little hardware complexity due to the optimized and more flexible use of shorter chromosomes.

关键词： genetic programming filtering images hybrid reconfigurable architecture

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Puppeteering 2.5D Models 29

Puppeteering 2.5D Models

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29th SIBGRAPI Conference on graphics, Patterns and images (SIBGRAPI)

作者： Coutinho, Joao Marques, Bruno A. D. Gois, Joao Paulo Univ Fed ABC Santo Andre SP Brazil Univ Fed Fluminense Dept Computacao Niteroi RJ Brazil

ISBN: (纸本)9781509035687

A laborious task for animators is the redrawing of 2D models for each new required view or pose. As a consequence, several applications have been proposed to make this task easier. A successful approach is the Cartoon 2.5D Models. Its goal is the automatic computation of new views - by the simulation of 3D global rotation - from user-provided 2D models. However, previous work of 2.5D Models does not have support to calculate new poses efficiently, i.e., the user redraws the input views again in the new pose. We present a novel approach that allows the user to produce both new views and new poses easily for the 2.5D Models, thus puppeteering the 2.5D Models. It makes use of a hierarchical bone structure that explores the methodology of the 2.5D Models, ensuring coherence between the bone structure and the model. The usability of the present approach is intuitive for users acquainted with previous 2.5D Modeling tools.

关键词： cartoon modeling computer animation vector-art drawing geometric transformations

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GPU Accelerated Contactless Human Machine Interface for Driving Car

GPU Accelerated Contactless Human Machine Interface for Driv...

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International symposium on Distributed Computing and Applications to Business, Engineering and Science (DCABES)

作者： Frédéric Magoulès Qinmeng Zou CeruraleSupéiec. Université Paris-Saclay France

ISBN: (纸本)9781538621639

In this paper we present an original contactless human machine interface for driving car. The proposed framework is based on the image sent by a simple camera device, which is then processed by various computer vision algorithms. These algorithms allow the isolation of the user's hand on the camera frame and translate its movements into orders sent to the computer in a real time process. The optimization of the implemented algorithms on graphics processing unit leads to real time interaction between the user, the computer and the machine. The user can easily modify or create the interfaces displayed by the proposed framework to fit his personnel needs. A contactless driving car interface is here produced to illustrate the principle of our framework.

关键词： graphics processing units image color analysis Cameras Automobiles Skin Mice Libraries

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Ranking Principal Components in Face Spaces Through AdaBoost. M2 Linear Ensemble 29

Ranking Principal Components in Face Spaces Through AdaBoost...

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29th SIBGRAPI Conference on graphics, Patterns and images (SIBGRAPI)

作者： Filisbino, Tiene A. Giraldi, Gilson A. Thomaz, Carlos Eduardo Natl Lab Sci Comp LNCC Petropolis Brazil FEI Dept Elect Engn Sao Bernardo Do Campo Brazil

ISBN: (纸本)9781509035687

Despite the success of Principal Component Analysis (PCA) for dimensionality reduction, it is known that its most expressive components do not necessarily represent important discriminant features for pattern recognition. In this paper, the problem of ranking PCA components, computed from multi-class databases, is addressed by building multiple linear learners that are combined through the AdaBoost. M2 in order to determine the discriminant contribution of each PCA feature. In our implementation, each learner is a weakened version of a linear support vector machine (SVM). The strong learner built by the ensemble technique is processed following a strategy to get the global discriminant vector to sort PCA components according to their relevance for classification tasks. Also, we show how the proposed methodology to compute the global discriminant vector can be applied to other multi-class approaches, like the linear discriminant analysis (LDA). In the computational experiments we compare the obtained approaches with counterpart ones using facial expression experiments. Our experimental results have shown that the principal components selected by the proposed technique allows higher recognition rates using less linear features.

关键词： PCA Ranking PCA Components Separating Hyperplanes Ensemble Methods AdaBoost Face image Analysis

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Activity Recognition Based on a Magnitude-Orientation Stream Network

Activity Recognition Based on a Magnitude-Orientation Stream...

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brazilian symposium on computer graphics and image processing (SIBGRAPI)

作者： Carlos Caetano Victor H. C. de Melo Jefersson A. dos Santos William Robson Schwartz Smart Surveillance Interest Group Universidade Federal de Minas Gerais Belo Horizonte Brazil Smart Surveillance Interest Group Universidade Federal de Minas Gerais Belo Horizonte MG BR

The temporal component of videos provides an important clue for activity recognition, as a number of activities can be reliably recognized based on the motion information. In view of that, this work proposes a novel temporal stream for two-stream convolutional networks based on images computed from the optical flow magnitude and orientation, named Magnitude-Orientation Stream (MOS), to learn the motion in a better and richer manner. Our method applies simple nonlinear transformations on the vertical and horizontal components of the optical flow to generate input images for the temporal stream. Experimental results, carried on two well-known datasets (HMDB51 and UCF101), demonstrate that using our proposed temporal stream as input to existing neural network architectures can improve their performance for activity recognition. Results demonstrate that our temporal stream provides complementary information able to improve the classical two-stream methods, indicating the suitability of our approach to be used as a temporal video representation.

关键词： Optical imaging Histograms Activity recognition Videos Feature extraction Streaming media computer architecture

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3D Blind mesh quality assessment index

3D Blind mesh quality assessment index

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3D image processing, Measurement (3DIPM), and Applications 2017

作者： Nouri, Anass Charrier, Christophe Lezoray, Olivier Normandie Univ UNICAEN ENSICAEN CNRS GREYC Caen14000 France

After the sound, 2D images and videos, 3D models represented by polygonal meshes are the actual emergent content due to the technological advance in terms of 3D acquisition [1]. 3D meshes can be subject to several degradations due to acquisition, compression, pre-treatment or transmission that distort the 3D mesh and therefore affect its visual rendering. Because the human observer is generally located at the end of this line, quality assessment of the content is required. We propose in this paper a viewindependent 3D Blind Mesh Quality Assessment Index (BMQI) based on the estimation of visual saliency and roughness. Given a 3D distorted mesh, the metric can assess the percived visual quality without the need of the reference content as humans do. No assumption on the degradation to evaluate is required for this metric, which makes it powerful and usable in any context requiring quality assessment of 3D meshes. Obtained results in terms of correlation with subjective human scores of quality are important and highly competitive with existing full-reference quality assessment metrics. © 2017, Society for Imaging Science and Technology.

关键词： Three dimensional computer graphics

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Implementation of deep-learning based image classification on single board computer

Implementation of deep-learning based image classification o...

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International symposium on Electronics and Smart Devices (ISESD)

作者： Hasbi Ash Shiddieqy Farkhad Ihsan Hariadi Trio Adiono School of Electrical Engineering and Informatics Institut Teknologi Bandung J1. Bandung Indonesia

In this paper, a deep-learning algorithm based on convolutional neural-network is implemented using python and tflearn for image classification. A large number of different images which contains two types of animals, namely cat and dog are used for classification. Two different structures of CNN are used, namely with two and five layers. It is shown that the CNN with higher layer performs classification process with much higher accuracy. The best CNN model with high accuracy and small loss function deployed in single board computer.

关键词： Computational modeling Training Machine learning image classification computer architecture graphics processing units

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processing-in-Memory Enabled graphics Processors for 3D Rendering

Processing-in-Memory Enabled Graphics Processors for 3D Rend...

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IEEE symposium on High-Performance computer Architecture

作者： Chenhao Xie Shuaiwen Leon Song Jing Wang Weigong Zhang Xin Fu ECE Department University of Houston HPC group Pacific Northwest National Lab (PNNL) College of Information Engineering Capital Normal University

ISBN: (纸本)9781509049868

The performance of 3D rendering of graphics processing Unit that converts 3D vector stream into 2D frame with 3D image effects significantly impacts users gaming experience on modern computer systems. Due to its high texture throughput requirement, main memory bandwidth becomes a critical obstacle for improving the overall rendering performance. 3D-stacked memory systems such as Hybrid Memory Cube provide opportunities to significantly overcome the memory wall by directly connecting logic controllers to DRAM dies. Although recent works have shown promising improvement in performance by utilizing HMC to accelerate special-purpose applications, a critical challenge of how to effectively leverage its high internal bandwidth and computing capability in GPU for 3D rendering remains unresolved. Based on the observation that texel fetches greatly impact off-chip memory traffic, we propose two architectural designs to enable processing-In-Memory based GPU for efficient 3D rendering. Additionally, we employ camera angles of pixels to control the performance-quality tradeoff of 3D rendering. Extensive evaluation across several real-world games demonstrates that our design can significantly improve the performance of texture filtering and 3D rendering by an average of 3.97X (up to 6.4X) and 43% (up to 65%) respectively, over the baseline GPU. Meanwhile, our design provides considerable memory traffic and energy reduction without sacrificing rendering quality.

关键词： Three-dimensional displays Rendering (computer graphics) graphics processing units Bandwidth Memory management Through-silicon vias Random access memory

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brazilian symposium of computer Graphic and image processing

Brazilian Symposium of Computer Graphic and Image Processing

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2014 27th SIBGRAPI Conference on graphics, Patterns and images, SIBGRAPI 2014

ISBN: (纸本)9781479942602

The proceedings contain 45 papers. The topics discussed include: improving divide-and-conquer ray-tracing using a parallel approach;segmentation of pigmented melanocytic skin lesions based on learned dictionaries and normalized graph cuts;high-quality reverse tone mapping for a wide range of exposures;interactive object class segmentation for mobile devices;a nested hierarchy of localized scatterplots;improved residual DPCM for HEVC lossless coding;semi-supervised pattern classification using optimum-path forest;evolutionary optimization applied for fine-tuning parameter estimation in optical flow-based environments;helmet detection on motorcyclists using image descriptors and classifiers;improving on-patient medical data visualization in a markerless augmented reality environment by volume clipping;unsupervised hyperspectral band selection based on spectral rhythm analysis;superpixel-based interactive classification of very high resolution images;and extending face identification to open-set face recognition.

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