{"title":"Procedural butterfly wing patterns","authors":"Thompson P. Lied, M. Walter","doi":"10.1109/SIBGRA.2002.1167194","DOIUrl":"https://doi.org/10.1109/SIBGRA.2002.1167194","url":null,"abstract":"We present a simple model for synthesis of butterfly wing patterns. The model simulates the formation of eyespots, the rounded circular arrangements which appear in many butterfly species. We illustrate our results with the examples of Diatheria clymena and Automeris io species.","PeriodicalId":286814,"journal":{"name":"Proceedings. XV Brazilian Symposium on Computer Graphics and Image Processing","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126846587","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}
Hedlena Bezerra, Börje F. Karlsson, M. A. C. Gois, A. Frery
{"title":"Resource management in computer graphics teaching","authors":"Hedlena Bezerra, Börje F. Karlsson, M. A. C. Gois, A. Frery","doi":"10.1109/SIBGRA.2002.1167205","DOIUrl":"https://doi.org/10.1109/SIBGRA.2002.1167205","url":null,"abstract":"We discuss the importance of using different elements to accomplish a better learning of computer graphics related concepts, and how to make this information available in a way accessible for students that is useful as learning support tools. We propose and assess the use of a resource site in order to increase the interaction between the courses in the area.","PeriodicalId":286814,"journal":{"name":"Proceedings. XV Brazilian Symposium on Computer Graphics and Image Processing","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132763610","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}
I. Manssour, S. Furuie, S. Olabarriaga, C. Freitas
{"title":"Visualizing inner structures in multimodal volume data","authors":"I. Manssour, S. Furuie, S. Olabarriaga, C. Freitas","doi":"10.1109/SIBGRA.2002.1167123","DOIUrl":"https://doi.org/10.1109/SIBGRA.2002.1167123","url":null,"abstract":"With the evolution of medical image acquisition techniques, the capacity and fidelity of image-based diagnosis were extended. The current trend is to acquire information using multiple sources to help medical diagnosis, but the integration of the multivariate data into a single 3D representation is non-trivial. Techniques for the visualization of multimodal volume data have been developed with the goal of finding suitable strategies to integrate characteristics of multiple data sets into a single visual representation. Likewise, several techniques are dedicated to the exploration of different ways of incorporating seeing-through capabilities into volume rendering techniques. This paper presents a new approach to visualize inner structures in multimodal volume data, which is based in the utilization of cutting tools.","PeriodicalId":286814,"journal":{"name":"Proceedings. XV Brazilian Symposium on Computer Graphics and Image Processing","volume":"124 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114658518","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":"Approximating parametric curves with strip trees using affine arithmetic","authors":"L. Figueiredo, J. Stolfi, L. Velho","doi":"10.1109/SIBGRA.2002.1167139","DOIUrl":"https://doi.org/10.1109/SIBGRA.2002.1167139","url":null,"abstract":"We show how to use affine arithmetic to represent a parametric curve with a strip tree. The required bounding rectangles for pieces of the curve are computed by exploiting the linear correlation information given by affine arithmetic. As an application, we show how to compute approximate distance fields for parametric curves.","PeriodicalId":286814,"journal":{"name":"Proceedings. XV Brazilian Symposium on Computer Graphics and Image Processing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129907672","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":"Non-parametric smoothing for relative radiometric correction on remotely sensed data","authors":"M. Velloso, F. J. Souza","doi":"10.1109/SIBGRA.2002.1167128","DOIUrl":"https://doi.org/10.1109/SIBGRA.2002.1167128","url":null,"abstract":"Digital change detection methods have been broadly divided into either pre-classification spectral change detection or post-classification change detection. Since all spectral change detection methods are based on pixel-wise operations, or scene-wise plus pixel-wise operations, accuracy in image registration and scene-to-scene radiometric normalization is more critical for these methods than for other methods. A wide range of algorithms has been developed to adjust linear models. This paper proposes an automated radiometric normalization process that automatically extracts the training dataset, and uses a non-parametric smoother to adjust a non-linear mapping in order to minimize the effects of the influences of radiometric differences on image interpretation and classification. In order to investigate how the proposed normalization improves the performance classification, and assess the effectiveness of this technique, we carried out classification experiments on three image sets, and compare their results.","PeriodicalId":286814,"journal":{"name":"Proceedings. XV Brazilian Symposium on Computer Graphics and Image Processing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130672261","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":"E-Shell Rendering","authors":"Leonardo M. Rocha, A. Falcão","doi":"10.1109/SIBGRA.2002.1167149","DOIUrl":"https://doi.org/10.1109/SIBGRA.2002.1167149","url":null,"abstract":"In medical imaging, shell rendering is considered one of the most efficient and effective methods for volume visualization. It requires a compact data structure of voxels and uses the voxel splatting technique for surface and volume rendering. In order to avoid holes in the rendition, the size of the voxels are usually made bigger than the size of the pixels for voxel splatting. In such a case, we have identified a conceptual problem in shell rendering which affects the correctness and quality of the renditions. We discuss this problem and propose a solution, which improves image quality without affecting the speed of the method. The new approach is called E-Shell Rendering (extended-shell rendering). It requires an extension of the shell data structure and a variant of the original algorithm. We illustrate and discuss the results with examples created by surface and volume rendering.","PeriodicalId":286814,"journal":{"name":"Proceedings. XV Brazilian Symposium on Computer Graphics and Image Processing","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130793333","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}
Camillo Jorge Santos Oliveira, A. Araújo, C. A. Severiano, Daniel Ribeiro Gomes
{"title":"Classifying images collected on the World Wide Web","authors":"Camillo Jorge Santos Oliveira, A. Araújo, C. A. Severiano, Daniel Ribeiro Gomes","doi":"10.1109/SIBGRA.2002.1167162","DOIUrl":"https://doi.org/10.1109/SIBGRA.2002.1167162","url":null,"abstract":"This work presents the classification of images collected on the World Wide Web, using a supervised classification method, called ID3 (Itemized Dichotomizer 3). The classification consists in separating the images into two semantic classes: graphics and photographs. Photographs include natural scenes, like people, faces, animals, flowers, landscapes and cities. Graphics are logos, drawings, icons, maps, and backgrounds, usually generated by computer. To validate the classifier we used the k-fold cross-validation method. In the experimental tests 95.6% of the images were correctly classified.","PeriodicalId":286814,"journal":{"name":"Proceedings. XV Brazilian Symposium on Computer Graphics and Image Processing","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125455871","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":"Improvement and invariance analysis of Zernike moments using as a region-based shape descriptor","authors":"Ye Bin, P. Jia-xiong","doi":"10.1109/SIBGRA.2002.1167134","DOIUrl":"https://doi.org/10.1109/SIBGRA.2002.1167134","url":null,"abstract":"An improved Zernike moment using as a region-based shape descriptor is presented. The improved Zernike moment not only has rotation invariance, but also has scale invariance that the unimproved Zernike moment does not have. The experimental results show that the improved Zernike moment has better invariant properties than unimproved Zernike moment using as region-based shape descriptor.","PeriodicalId":286814,"journal":{"name":"Proceedings. XV Brazilian Symposium on Computer Graphics and Image Processing","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121628961","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":"Animating virtual humans using hand postures","authors":"Fabio Wilhelms Damasio, S. Musse","doi":"10.1109/SIBGRA.2002.1167207","DOIUrl":"https://doi.org/10.1109/SIBGRA.2002.1167207","url":null,"abstract":"Interaction between human and computer has been used in a large scale in computer graphics and virtual reality. This paper presents a system to provide interaction between user and virtual humans. The system uses a data glove and an artificial neural network system responsible for the recognition of hand postures.","PeriodicalId":286814,"journal":{"name":"Proceedings. XV Brazilian Symposium on Computer Graphics and Image Processing","volume":"121 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124171824","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":"Robust watershed segmentation using the wavelet transform","authors":"C. Jung, J. Scharcanski","doi":"10.1109/SIBGRA.2002.1167135","DOIUrl":"https://doi.org/10.1109/SIBGRA.2002.1167135","url":null,"abstract":"The watershed transform has been used for image segmentation relying mostly on image gradients. However, background noise tends to produce spurious gradients, that cause over-segmentation and degrade the output of the watershed transform. Also, low-contrast edges produce gradients with small magnitudes, which may cause different regions to be erroneously merged. In this paper, a new technique is presented to improve the robustness of watersheds segmentation, by reducing the undesirable over-segmentation. A redundant wavelet transform is used to denoise the image and enhance the edges in multiple resolutions, and the image gradient is estimated with the wavelet transform. The watershed transform is then applied to the obtained gradient image, and segmented regions that do not satisfy specific criteria are removed.","PeriodicalId":286814,"journal":{"name":"Proceedings. XV Brazilian Symposium on Computer Graphics and Image Processing","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133567990","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}