Pub Date : 2014-08-26DOI: 10.1109/SIBGRAPI.2014.16
E. V. Brazil, Ronan M. Amorim, M. Sousa, L. Velho, L. H. Figueiredo
In the last 15 years many systems for sketch-based modeling have been developed. Much of this work has focused on the final results and describes the solutions from a technical and practical point of view. In this paper we take a more theoretical approach to the problem of sketch-based surface modeling (SBSM) and introduce a framework for SBSM systems based on adaptive meshes. The main advantage of this approach is to split the modeling operators and the final representation, allowing the creation of SBSM systems suitable for specific domains with different demands. In addition, we present two systems built on top of this framework, one with the capability to control local and global changes to the model and one that follows domain constraints.
{"title":"A Sketch-Based Modeling Framework Based on Adaptive Meshes","authors":"E. V. Brazil, Ronan M. Amorim, M. Sousa, L. Velho, L. H. Figueiredo","doi":"10.1109/SIBGRAPI.2014.16","DOIUrl":"https://doi.org/10.1109/SIBGRAPI.2014.16","url":null,"abstract":"In the last 15 years many systems for sketch-based modeling have been developed. Much of this work has focused on the final results and describes the solutions from a technical and practical point of view. In this paper we take a more theoretical approach to the problem of sketch-based surface modeling (SBSM) and introduce a framework for SBSM systems based on adaptive meshes. The main advantage of this approach is to split the modeling operators and the final representation, allowing the creation of SBSM systems suitable for specific domains with different demands. In addition, we present two systems built on top of this framework, one with the capability to control local and global changes to the model and one that follows domain constraints.","PeriodicalId":146229,"journal":{"name":"2014 27th SIBGRAPI Conference on Graphics, Patterns and Images","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115309543","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}
Pub Date : 2014-08-01DOI: 10.1109/SIBGRAPI.2014.18
Fabiane Queiroz, Ing Ren Tsang
Endoscopy is a minimally invasive medical diagnostic procedure that is used to provide a realistic view of the surfaces of organs inside human body. Images taken during such procedures largely show tissues of human organs. Due to the presence of mucosa of the gastrointestinal tract or other characteristics of the human body, these surfaces usually have a glossy appearance showing specular reflections. For many image analysis algorithms, these distinct and bright visual mark can be a significant source of error. On other hand, these features can also be useful for image restoration and for the construction of 3D model of the organs. In this article, we propose a segmentation method of the specular regions based on sparse and low-rank decomposition using a robust PCA via accelerated proximal gradient algorithm. In contrast to the existing approaches, the proposed segmentation works without using colour image thresholds. Moreover, the proposed method presents more precise segmentation results represented by grayscale masks instead of binary masks.
{"title":"Automatic Segmentation of Specular Reflections for Endoscopic Images Based on Sparse and Low-Rank Decomposition","authors":"Fabiane Queiroz, Ing Ren Tsang","doi":"10.1109/SIBGRAPI.2014.18","DOIUrl":"https://doi.org/10.1109/SIBGRAPI.2014.18","url":null,"abstract":"Endoscopy is a minimally invasive medical diagnostic procedure that is used to provide a realistic view of the surfaces of organs inside human body. Images taken during such procedures largely show tissues of human organs. Due to the presence of mucosa of the gastrointestinal tract or other characteristics of the human body, these surfaces usually have a glossy appearance showing specular reflections. For many image analysis algorithms, these distinct and bright visual mark can be a significant source of error. On other hand, these features can also be useful for image restoration and for the construction of 3D model of the organs. In this article, we propose a segmentation method of the specular regions based on sparse and low-rank decomposition using a robust PCA via accelerated proximal gradient algorithm. In contrast to the existing approaches, the proposed segmentation works without using colour image thresholds. Moreover, the proposed method presents more precise segmentation results represented by grayscale masks instead of binary masks.","PeriodicalId":146229,"journal":{"name":"2014 27th SIBGRAPI Conference on Graphics, Patterns and Images","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127659029","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}
Pub Date : 2014-06-07DOI: 10.1109/SIBGRAPI.2014.15
P. Freitas, Mylène C. Q. Farias, Aleteia P. F. Araujo
In this paper, we propose a framework for acquiring super-resolution videos from low-resolution originals. Given that super-resolution conversion algorithms require a large amount of data processing, the proposed framework uses a set of strategies to improve performance and computational efficiency. The strategies consists of a combination of data simplification and parallel processing techniques. The simplification strategies are used to decrease the amount of data to process and, consequently, the required processing time. The parallel processing techniques are designed so that major modifications of the super-resolution algorithms are not required. The framework is fast and makes the video resolution increase timely.
{"title":"A Parallel Framework for Video Super-Resolution","authors":"P. Freitas, Mylène C. Q. Farias, Aleteia P. F. Araujo","doi":"10.1109/SIBGRAPI.2014.15","DOIUrl":"https://doi.org/10.1109/SIBGRAPI.2014.15","url":null,"abstract":"In this paper, we propose a framework for acquiring super-resolution videos from low-resolution originals. Given that super-resolution conversion algorithms require a large amount of data processing, the proposed framework uses a set of strategies to improve performance and computational efficiency. The strategies consists of a combination of data simplification and parallel processing techniques. The simplification strategies are used to decrease the amount of data to process and, consequently, the required processing time. The parallel processing techniques are designed so that major modifications of the super-resolution algorithms are not required. The framework is fast and makes the video resolution increase timely.","PeriodicalId":146229,"journal":{"name":"2014 27th SIBGRAPI Conference on Graphics, Patterns and Images","volume":"2016 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125641685","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}
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