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Interactive 3D Graphics Applications Embedded in Web Pages 嵌入在网页中的交互式3D图形应用程序
Computer Graphics, Imaging and Visualisation (CGIV 2007) Pub Date : 2007-08-14 DOI: 10.1109/CGIV.2007.53
F. Luengo, Mariela Contreras, Aurely Leal, A. Iglesias
{"title":"Interactive 3D Graphics Applications Embedded in Web Pages","authors":"F. Luengo, Mariela Contreras, Aurely Leal, A. Iglesias","doi":"10.1109/CGIV.2007.53","DOIUrl":"https://doi.org/10.1109/CGIV.2007.53","url":null,"abstract":"As Internet and the World Wide Web (WWW) are becoming more and more popular, there is an increasing demand for new web services and developments. In particular, there is a need of new technologies (often referred to as Web3D) to create and manipulate interactive three-dimensional (3D) environments on the Web. A major problem in this subject is the lack of specialized 3D graphics libraries for Internet, with similar functionalities to those of OpenGL for standalone applications. Although several APIs (Java3D, GJ4JAVA, JOGL, LWJGL, jGL) have been proposed to tackle this issue, none of them has become an official part of core Java package so far. Consequently, it is still hard to build reliable Internet-oriented 3D graphics programs providing the web users with the same realism and interactivity usually found on standalone applications. This paper proposes a based-on-Java framework to develop interactive 3D graphics applications embedded in web pages. Our approach is not based on the development of new programming tools, the emphasis being placed upon the careful selection of already existing technologies (also described in this paper) that provide the best results for our goals along with the optimized design of the workflow. Some applications aimed at showing the potential of our approach are also briefly reported.","PeriodicalId":433577,"journal":{"name":"Computer Graphics, Imaging and Visualisation (CGIV 2007)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134311769","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 10
Multi-Resolution System for MRI (Magnetic Resonance Imaging) Image Compression: A Heterogeneous Wavelet Filters Bank Approach 磁共振成像图像压缩的多分辨率系统:一种异构小波滤波器组方法
Computer Graphics, Imaging and Visualisation (CGIV 2007) Pub Date : 2007-08-14 DOI: 10.1109/CGIV.2007.60
S. Gornale, V. Humbe, S. Jambhorkar, P. Yannawar, R. Manza, K. Kale
{"title":"Multi-Resolution System for MRI (Magnetic Resonance Imaging) Image Compression: A Heterogeneous Wavelet Filters Bank Approach","authors":"S. Gornale, V. Humbe, S. Jambhorkar, P. Yannawar, R. Manza, K. Kale","doi":"10.1109/CGIV.2007.60","DOIUrl":"https://doi.org/10.1109/CGIV.2007.60","url":null,"abstract":"In telemedicine, the storage of image and forwarding of image requires high storage space and high bandwidth respectively. To save the storage space and to reduce the bandwidth for communication; the image is to be compressed. Recently the multi-resolution technique by wavelet transform has emerged as a cutting edge technology within the field of image analysis and compression. Relatively new class of wavelets called multiwavelet; are new addition to the body of wavelet theory. Realizable as matrix-valued filter banks leading to wavelet basis, were introduced and which are able to posses all desirable properties like orthogonality, symmetry, and short support etc. simultaneously, which are needed for better performance compression. In this paper we have proposed a heterogeneous wavelet filter approach for MRI image compression. The performance of the proposed method is compared and analyzed in detail and the promising results and findings are presented.","PeriodicalId":433577,"journal":{"name":"Computer Graphics, Imaging and Visualisation (CGIV 2007)","volume":"136 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131412784","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 6
Upper Facial Action Units Recognition Based on KPCA and SVM 基于KPCA和SVM的上颌面部动作单元识别
Computer Graphics, Imaging and Visualisation (CGIV 2007) Pub Date : 2007-08-14 DOI: 10.1109/CGIV.2007.84
Chunfeng Yang, Yongzhao Zhan
{"title":"Upper Facial Action Units Recognition Based on KPCA and SVM","authors":"Chunfeng Yang, Yongzhao Zhan","doi":"10.1109/CGIV.2007.84","DOIUrl":"https://doi.org/10.1109/CGIV.2007.84","url":null,"abstract":"The existing methods of facial action unit recognition are always affected by illumination and individual difference. An upper facial action units recognition method based on KPCA and SVM is presented in this paper. In this method, KPCA algorithm which is formed by choosing and designing kernel function in terms of visual features of upper facial action units is used to extract the upper facial action unit feature and the two features associated with illumination effect are removed. Then the optimal kernel function and chastisement factor in SVM algorithm are determined by experiments. Finally the SVM is used to classify and recognize action units. This method is tested on the Cohn-Kanade 's facial expression image database. The average recognition rate achieves 90.6% and the recognition speed is also fast. The experiments show that this method is not sensitive to illumination and individual difference and can be used to real time recognition.","PeriodicalId":433577,"journal":{"name":"Computer Graphics, Imaging and Visualisation (CGIV 2007)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123686796","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Improved Co-occurrence Matrix as a Feature Space for Relative Entropy-based Image Thresholding 基于相对熵的图像阈值分割的改进共现矩阵特征空间
Computer Graphics, Imaging and Visualisation (CGIV 2007) Pub Date : 2007-08-14 DOI: 10.1109/CGIV.2007.49
I. El-Feghi, N. Adem, M. Sid-Ahmed, M. Ahmadi
{"title":"Improved Co-occurrence Matrix as a Feature Space for Relative Entropy-based Image Thresholding","authors":"I. El-Feghi, N. Adem, M. Sid-Ahmed, M. Ahmadi","doi":"10.1109/CGIV.2007.49","DOIUrl":"https://doi.org/10.1109/CGIV.2007.49","url":null,"abstract":"In this paper, a thresholding technique suitable for noisy background images is proposed. The proposed algorithm uses an improved co-occurrence matrix as feature spaces. The threshold value is obtained by maximizing the relative entropy. Experimental results show that the proposed method outperforms other thresholding techniques especially on the presences of noise in the background of the input image.","PeriodicalId":433577,"journal":{"name":"Computer Graphics, Imaging and Visualisation (CGIV 2007)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122073478","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 6
A Blind Watermarking of 3D Triangular Meshes Using Geometry Image 基于几何图像的三维三角形网格盲水印
Computer Graphics, Imaging and Visualisation (CGIV 2007) Pub Date : 2007-08-14 DOI: 10.1109/CGIV.2007.3
Ni Yi-qiang, Liu Bo, Zhang Hong-bin
{"title":"A Blind Watermarking of 3D Triangular Meshes Using Geometry Image","authors":"Ni Yi-qiang, Liu Bo, Zhang Hong-bin","doi":"10.1109/CGIV.2007.3","DOIUrl":"https://doi.org/10.1109/CGIV.2007.3","url":null,"abstract":"A novel blind watermarking method for the 3D mesh model is proposed. This method is based on the geometry image which is created by the parameterization and sampling of the model. The geometry image except the boundary is partitioned into several sub-images of equal size. Every sub-image is normalized and decomposed with two-dimensional Haar wavelet. The watermark is embedded into the low components of the wavelet coefficients with the LSB method. Other conventional 2D image watermarking methods could also be applied. The watermarked model is reconstructed from the embedded geometry image. For the extraction of the watermark, the original model is not required. Experimental results show the proposed algorithm is robust against the attacks such as translation, scaling, rotation, local deformation and certain amplitude of noise disturbance.","PeriodicalId":433577,"journal":{"name":"Computer Graphics, Imaging and Visualisation (CGIV 2007)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125357612","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 6
A Novel Adaptive Sampling by Tsallis Entropy 一种基于Tsallis熵的自适应采样方法
Computer Graphics, Imaging and Visualisation (CGIV 2007) Pub Date : 2007-08-14 DOI: 10.1109/CGIV.2007.10
Qing Xu, M. Sbert, Lianping Xing, Jianfeng Zhang
{"title":"A Novel Adaptive Sampling by Tsallis Entropy","authors":"Qing Xu, M. Sbert, Lianping Xing, Jianfeng Zhang","doi":"10.1109/CGIV.2007.10","DOIUrl":"https://doi.org/10.1109/CGIV.2007.10","url":null,"abstract":"Monte Carlo is the only choice of physically correct method to compute the problem of global illumination in the field of realistic image synthesis. Adaptive sampling is an appealing tool to eliminate noise, which is one of the main problems of Monte Carlo based global illumination algorithms. In this paper, we investigate the use of entropy in the domain of information theory to measure pixel quality and to do adaptive sampling. Especially we explore the nonextensive Tsallis entropy, in which a real number q is introduced as the entropic index that presents the degree of nonextensivity, to evaluate pixel quality. By utilizing the least-squares design, an entropic index q can be obtained systematically to run adaptive sampling effectively. Implementation results show that the Tsallis entropy driven adaptive sampling significantly outperforms the existing methods.","PeriodicalId":433577,"journal":{"name":"Computer Graphics, Imaging and Visualisation (CGIV 2007)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125174957","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 12
Radon Transform Based Real-Time Weed Classifier 基于Radon变换的实时杂草分类器
Computer Graphics, Imaging and Visualisation (CGIV 2007) Pub Date : 2007-08-14 DOI: 10.1109/CGIV.2007.69
M. U. Haq, A. Naeem, I. Ahmad, Muhammad Islam
{"title":"Radon Transform Based Real-Time Weed Classifier","authors":"M. U. Haq, A. Naeem, I. Ahmad, Muhammad Islam","doi":"10.1109/CGIV.2007.69","DOIUrl":"https://doi.org/10.1109/CGIV.2007.69","url":null,"abstract":"A machine vision system to detect and discriminate crop and weed plants in a commercial agricultural environment was developed and tested. Images are acquired in agricultural fields under natural illumination were studied extensively, and a weed classifier based on Radon transform is developed. This classifier is specifically developed to classify images into broad (having broad leaves) and narrow (having narrow leaves) classes for real-time selective herbicide application. The developed system has been tested on weeds in the lab; the results shows reliable performance and significantly less computational efforts on images of weeds taken under varying field conditions. The analysis of the results shows over 93.5% classification accuracy over a database of 200 sample images with 100 samples from each category of weeds.","PeriodicalId":433577,"journal":{"name":"Computer Graphics, Imaging and Visualisation (CGIV 2007)","volume":"10 10","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120845410","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Curve reconstruction in the presence of noise 噪声存在下的曲线重建
Computer Graphics, Imaging and Visualisation (CGIV 2007) Pub Date : 2007-08-14 DOI: 10.1109/CGIV.2007.32
A. Mukhopadhyay, A. Das
{"title":"Curve reconstruction in the presence of noise","authors":"A. Mukhopadhyay, A. Das","doi":"10.1109/CGIV.2007.32","DOIUrl":"https://doi.org/10.1109/CGIV.2007.32","url":null,"abstract":"In this paper we propose a heuristic for the reconstruction of a planar curve from a noisy sample. This is based on an earlier scheme we had proposed for reconstructing a curve from a noise-free sample, based on the relative neighbourhood graph. We also report on the performance of our heuristic on a variety of noisy samples.","PeriodicalId":433577,"journal":{"name":"Computer Graphics, Imaging and Visualisation (CGIV 2007)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116082281","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 6
Profile Based Information Retrieval from Printed Document Images 基于配置文件的打印文档图像信息检索
Computer Graphics, Imaging and Visualisation (CGIV 2007) Pub Date : 2007-08-14 DOI: 10.1109/CGIV.2007.67
S. Abirami, D. Manjula
{"title":"Profile Based Information Retrieval from Printed Document Images","authors":"S. Abirami, D. Manjula","doi":"10.1109/CGIV.2007.67","DOIUrl":"https://doi.org/10.1109/CGIV.2007.67","url":null,"abstract":"This paper performs a profile based Information Retrieval from printed document image collections. Keywords are valuable indexing tools and if they can be identified at the image level, extensive computation during recognition will be avoided. Printed documents can be scanned to produce document images. Instead of converting entire document images into text equivalent, word profiles are identified to match the word images in Bilingual document images.(English and Tamil). During retrieval, the same profile could be extracted from the user specified word and can be matched with the word images in the document. This yields a faster result even in a quality-degraded document. This kind of Information Retrieval (Keyword Based Search) can be adapted in Digital Libraries, which employs digitized documents instead of text processing. This promotes efficient search in document images irrespective of the language.","PeriodicalId":433577,"journal":{"name":"Computer Graphics, Imaging and Visualisation (CGIV 2007)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120898377","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 8
Enhancement of Neuro-eigenspace Face Recognition Using Photometric Normalization 利用光度归一化增强神经特征空间人脸识别
Computer Graphics, Imaging and Visualisation (CGIV 2007) Pub Date : 2007-08-14 DOI: 10.1109/CGIV.2007.38
S. A. Nazeer, M. Khalid, Nazaruddin Omar, M. K. Awang
{"title":"Enhancement of Neuro-eigenspace Face Recognition Using Photometric Normalization","authors":"S. A. Nazeer, M. Khalid, Nazaruddin Omar, M. K. Awang","doi":"10.1109/CGIV.2007.38","DOIUrl":"https://doi.org/10.1109/CGIV.2007.38","url":null,"abstract":"A face recognition system based on recent method which concerned with both representation and recognition using learning algorithm is presented. The learning algorithm, artificial neural network is used as a classifier for face recognition and face verification whereas the features are extracted using linear sub- space techniques. This paper initially provides the overview of the proposed face recognition system, and explains the methodology used. It then explains the performance evaluation of the proposed system by applying two photometric normalization techniques: Histogram equalization and Homomorphic filtering, and comparing with Euclidean distance and normalized correlation classifiers. The system produces promising results for face verification and face recognition where it achieved false acceptance rate (FAR) of 2.98% and false rejection rate (FRR) of 2.59% using ANN classifier with PCA feature extraction using homomorphic filtering, and 94.4% for recognition.","PeriodicalId":433577,"journal":{"name":"Computer Graphics, Imaging and Visualisation (CGIV 2007)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133313472","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 6
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