{"title":"New Methods in Fractal Imaging","authors":"M. Barnsley, J. Hutchinson","doi":"10.1109/CGIV.2006.65","DOIUrl":"https://doi.org/10.1109/CGIV.2006.65","url":null,"abstract":"In this paper we draw attention to some recent advances in fractal geometry and point out several ways in which they apply to digital imaging. Simple applications include a method for animating backgrounds in the production of synthetic content, including seascapes, forests, and skies; a novel low-cost technique for creating animated talking heads with unique look-and-feel; and the sharing of engaging graphics, at low bandwidth, between wireless devices such as cellphones. These advances make use of an addressing system which may be associated with the \"top\" of the attractor of an iterated function system (IFS). Previous computer graphics applications of IFS theory have focused on models based on the attractors and the invariant measures of IFSs. The addressing system enables the establishment of mappings between attractors; it is these transformations, rather than the attractors themselves, that underlie the digital imaging ideas introduced here","PeriodicalId":264596,"journal":{"name":"International Conference on Computer Graphics, Imaging and Visualisation (CGIV'06)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117105188","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}
{"title":"A Visualization Model for Web Sitemaps","authors":"Quang Vinh Nguyen, M. Huang, Kang Zhang, I. Yen","doi":"10.1109/CGIV.2006.14","DOIUrl":"https://doi.org/10.1109/CGIV.2006.14","url":null,"abstract":"This paper describes a space-efficient visualization model that automatically crawls through a Web site and visualizes its sitemap. This model can be used especially for displaying and navigating a very large Web site in a two-dimensional (2D) plane and/or a three-dimensional (3D) space. The 2D visualization employs EncCon layout algorithm to effectively visualize a very large number of pages and relations at once in which it utilizes the space to display more information. This technique also employs a focus+context navigation method to enable the exploration of large sites. Animation is provided to preserve the user's mental map while exploring the Web site hierarchy. The 3D visualization extends the 2D EncCon layout algorithm to a three-dimensional space which aims to provide a more realistic look and feel of the information","PeriodicalId":264596,"journal":{"name":"International Conference on Computer Graphics, Imaging and Visualisation (CGIV'06)","volume":"160 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123432512","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}
{"title":"Facial Composite System Using Genetic Algorithm","authors":"M. Halim, Hussein Hamdi Al-Fiadh","doi":"10.1109/CGIV.2006.42","DOIUrl":"https://doi.org/10.1109/CGIV.2006.42","url":null,"abstract":"Although humans have excellent facial recognition ability, it is widely recognized that they often have great difficulty recalling facial characteristics in sufficient detail to produce an accurate composite. In this paper, we propose a newly facial composite system - to be coined as genetic-based facial composite system GFCS that depends on genetic algorithm as a facial search method. The system consists of two main activities. In the first activity (database preparation), a number of steps are applied to extract face parts from the database image. While in the second activity (facial composite reconstruction), genetic algorithm is used for reconstructing facial composite image seemed likeness to eye witness facial image. Moreover, GFCS provides utility tools to enhance the resulted facial composite image. The results from using GFCS clarified that the system is successful in producing a good likeness to a witness mental image","PeriodicalId":264596,"journal":{"name":"International Conference on Computer Graphics, Imaging and Visualisation (CGIV'06)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127705603","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}
{"title":"Computer Aided Indexing of Historical Manuscripts","authors":"S. A. Shahab, W. Al-Khatib, S. Mahmoud","doi":"10.1109/CGIV.2006.31","DOIUrl":"https://doi.org/10.1109/CGIV.2006.31","url":null,"abstract":"Arabic manuscripts represent a rich source of knowledge that has been highly underutilized. Huge repositories of historical artifacts are yet to be typeset and published in book-form. Given vast content of these manuscripts, it is important to develop indexing systems that support content-based retrieval from historical manuscripts. In this paper, we propose a computer aided retrieval and indexing system for Arabic historical manuscripts. The proposed system extracts meaningful information (features) that is used in indexing. Some preprocessing steps are also implemented in order to enhance the quality of document images. More than one form of a similarity measure has been tested. The developed prototype system has shown encouraging results with respect to the word matching rates achieved","PeriodicalId":264596,"journal":{"name":"International Conference on Computer Graphics, Imaging and Visualisation (CGIV'06)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132238623","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}
{"title":"Estimating Reflectance Parameters of an Object from Saturated Spectral Images","authors":"Shiying Li, Y. Manabe, K. Chihara","doi":"10.1109/CGIV.2006.40","DOIUrl":"https://doi.org/10.1109/CGIV.2006.40","url":null,"abstract":"A method is described to reproduce reflection properties at the surface of real objects using spectral images, which are often saturated because of the limited dynamic range of image detectors. Reflection components are separated into diffuse and specular reflection components based on the dichromatic model at 5-nm wavelength intervals between 380 nm and 780 nm for each pixel of the spectral images, and diffuse reflectance parameters are estimated during the separation. To estimate specular reflectance parameters, the Gaussian distribution function of the Torrance-Sparrow reflection model is transformed logarithmically to a linear form, and the unsaturated values of the specular reflection components are subjected to the least squares method. Experimental results with a real object demonstrate the efficiency of the proposed method","PeriodicalId":264596,"journal":{"name":"International Conference on Computer Graphics, Imaging and Visualisation (CGIV'06)","volume":"208 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128612218","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}
{"title":"3D Images Compression for Multi-View Auto-Stereoscopic Displays","authors":"Benoît Kaufmann, M. Akil","doi":"10.1109/CGIV.2006.3","DOIUrl":"https://doi.org/10.1109/CGIV.2006.3","url":null,"abstract":"As auto-stereoscopic displays offer more and more different possible views, the problem of the size of the data to display is becoming more and more urging. If many 3D images compression algorithms already exist, using various methods, many are not lossless and lead to zones where data are not well displayed. This article details our lossless 3D compression algorithm based on 3D reconstruction of the initial 3D scene and presents some results. We will insist on the description of the coding and decoding process of a number of particular effects, especially the reflection and refraction reconstitution. We will also show an encountered problem called discontinuity of the facets and the way to solve it","PeriodicalId":264596,"journal":{"name":"International Conference on Computer Graphics, Imaging and Visualisation (CGIV'06)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127212671","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}
{"title":"Environment Lighting for Point Sampled Geometry","authors":"Sushil Bhakar Feng Liu","doi":"10.1109/cgiv.2006.95","DOIUrl":"https://doi.org/10.1109/cgiv.2006.95","url":null,"abstract":"","PeriodicalId":264596,"journal":{"name":"International Conference on Computer Graphics, Imaging and Visualisation (CGIV'06)","volume":"122 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114524529","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}