{"title":"The \"Diagram\" as the Audio-Visual Image","authors":"H. Shimoyama","doi":"10.1109/NICOInt.2019.00019","DOIUrl":"https://doi.org/10.1109/NICOInt.2019.00019","url":null,"abstract":"In this research, we will examine another means of \"information visualization\" and \"mapping of information\" by use of philosophical concepts. Firstly, by referring to Michel Foucault's This is not a pipe, we will propose the \"diagram\" is a conceptual entity which separates and re-combines seeing and saying. The corresponding conditions of seeing and saying within several eras and periods were his main focus. Secondly, we shall examine how \"information\" has forced upon us corresponding ways of seeing and saying, but also ways of thinking and behaving. According to Gilles Deleuze, we need to find the \"counter-information\" that separates and re-combines the audio-visual image. This type of information will be found in a few of the media arts and visualization techniques employed by them. Finally, we will clarify the relations between science-philosophy-art, and argue that they make it possible to conceive of other ways of understanding our thoughts and bodies.","PeriodicalId":436332,"journal":{"name":"2019 Nicograph International (NicoInt)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115615731","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":"Perceptual Font Manifold from Generative Model","authors":"Yuki Fujita, Haoran Xie, K. Miyata","doi":"10.1109/NICOInt.2019.00016","DOIUrl":"https://doi.org/10.1109/NICOInt.2019.00016","url":null,"abstract":"Though in recent times, various fonts are available online for public usage, it is difficult and challenging to generate, explore, and edit the fonts to meet the preferences of all users. To address these issues, we propose in this paper, a font manifold interface to visualize the perceptual adjustment in the latent space of a generative model of fonts. In this paper, we adopt the variational autoencoder network for font generation. Then, we conducted a perceptual study on the generated fonts from the multi-dimensional latent space of the generative model. After we obtained the distribution data of specific preferences, we utilized a manifold learning approach to visualize the font distribution. As a case study of our proposed method, we developed a user interface for generated font exploration in the designated user preference using a heat map representation.","PeriodicalId":436332,"journal":{"name":"2019 Nicograph International (NicoInt)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127446795","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":"Study on Spray Cloud Behavior Depending on Waterfall Height","authors":"N. Mukai, Yuka Sunaoshi, Youngha Chang","doi":"10.1109/NICOInt.2019.00028","DOIUrl":"https://doi.org/10.1109/NICOInt.2019.00028","url":null,"abstract":"In computer graphics applications, one of the most challenging issues is to visualize natural phenomena such as lighting, snowstorm, aurora, avalanche, rainbow, and so on. In order to visualize such phenomena naturally, it is required to simulate it precisely, and it is also very difficult to simulate liquid behavior because liquid can deform easily and also the boundary of it is very clear, while solid body does not deform largely and the boundary of gas is not so clear. Then, there are many studies related to liquid, especially water because water is the most familiar liquid to us. In water behavior, the most dynamic one is a waterfall, and there are some research to simulate and visualize waterfalls; however, most of them were not based on physical simulations, while some papers reported physical simulations on part of a waterfall instead of the whole behavior of it. Then, we have been investigating the physical model to simulate dynamic behavior of a waterfall, and to visualize it based on a particle simulation. The waterfall model is divided into three parts: water stream, splashing spray, and spray cloud. Since some real waterfalls have spray cloud rising up from the basin, we have devised the mechanism that generates spray cloud from the basin. However, there was not so much spray cloud generated on the basin. Then, we try to visualize much spray cloud generated on the basin by considering the initial velocity of water and also by changing the height of a waterfall.","PeriodicalId":436332,"journal":{"name":"2019 Nicograph International (NicoInt)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127555741","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}
Zhiyi Zhang, Ni Liu, Xuemei Feng, Di Wang, Long Yang, Zepeng Wang
{"title":"Shape Representation of Fractal Dimension on Point Cloud","authors":"Zhiyi Zhang, Ni Liu, Xuemei Feng, Di Wang, Long Yang, Zepeng Wang","doi":"10.1109/nicoint.2019.00027","DOIUrl":"https://doi.org/10.1109/nicoint.2019.00027","url":null,"abstract":"In this paper, we study the problem of using the similar dimensions in fractal geometry to describe the shape of a 3D point cloud model. We first calculated the K-nearest neighbor of each point in the point cloud, then performed triangulation the obtained K points, and finally calculated the similarity dimension of each point as a shape attribute of the point cloud model. Our main contribution is to extend the application of fractal geometry in point clouds, which redefine the similarity dimension, in order to fit the representation of the point cloud shape attribute. Based on our proposed expression, we introduce a novel approach to extract global features of point cloud models. We demonstrate the ability of our expressions to express shapes, and the effectiveness of our approach to express global features of point cloud models.","PeriodicalId":436332,"journal":{"name":"2019 Nicograph International (NicoInt)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125263649","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}
Zhiyi Zhang, Xuemei Feng, Ni Liu, Nan Geng, Shaojun Hu, Zepeng Wang
{"title":"From Image Sequence to 3D Reconstructed Model","authors":"Zhiyi Zhang, Xuemei Feng, Ni Liu, Nan Geng, Shaojun Hu, Zepeng Wang","doi":"10.1109/NICOInt.2019.00012","DOIUrl":"https://doi.org/10.1109/NICOInt.2019.00012","url":null,"abstract":"Obtaining 3D model based on images by simple devices is convenient and low-cost, meanwhile the model generation is automatic. The paper proposes a method to extract the 3D point cloud of object surface by a sequence of images. To obtain sparse 3D point clouds, a highly precise method of camera self-calibration is proposed. The self-calibration method is based on the bundle adjustment and uses a localglobal hybrid iterative optimization. Meanwhile, we propose a neighboring image matching strategy to solve the problem in the multiple image matching, which can improve the matching speed and preserve the matching accuracy. Then, dense 3D point clouds can be obtained by our improved Patchedbased Multi-View Stereo(PMVS) algorithm. Finally, we adopt 3D mesh construction method based on Possion distribution. The experimental results show that our algorithm increases the number of triangulation patches by 2.5% 27.9%, reduces the operation time by 5.0% 20.7%, and decreases the cross and mismatch of triangular patches in most cases. It is convenient and efficient to print out 3D models with richer details.","PeriodicalId":436332,"journal":{"name":"2019 Nicograph International (NicoInt)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125454825","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":"An Ensemble Classification of Useful Melanoma Image Features","authors":"Suleiman Mustafa, Akio Kimura","doi":"10.1109/NICOInt.2019.00010","DOIUrl":"https://doi.org/10.1109/NICOInt.2019.00010","url":null,"abstract":"In this study, we evaluate majority voting based ensemble classification combined with three and five common machine learning algorithms for enhancement on semi-automated system for detecting melanoma skin cancer. Melanoma is still increasingly becoming a deadly form of cancer around the world. In our previous study, the most useful six features from plain photographs of affected skin regions were identified after segmentation, feature extraction and selection, then used for classification and evaluated by using support vector machine with Gaussian radial basis kernel (SVM-RBF). However, the comparison with other machine learning algorithms may not be sufficient to claim its superiority. Thus in this paper, we use ensemble classification to examine further and show a slight improvement in the classification performance.","PeriodicalId":436332,"journal":{"name":"2019 Nicograph International (NicoInt)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114774065","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}
H. Noguchi, Ryota Ishii, Tomohiro Harada, R. Thawonmas
{"title":"Improving Rolling Horizon Evolutionary Algorithm in a Fighting Game","authors":"H. Noguchi, Ryota Ishii, Tomohiro Harada, R. Thawonmas","doi":"10.1109/NICOInt.2019.00032","DOIUrl":"https://doi.org/10.1109/NICOInt.2019.00032","url":null,"abstract":"In this paper, we examine the performance of a game AI using Rolling Horizon Evolutionary Algorithm (RHEA) for a fighting game. We propose two methods for improving RHEA. Our experimental results show that the proposed AI is superior to an AI using standard RHEA.","PeriodicalId":436332,"journal":{"name":"2019 Nicograph International (NicoInt)","volume":"2013 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128016060","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 Fast Rendering Technique for Artistic Volume Light","authors":"Guangming An, Changlei Jiang, Taichi Watanabe","doi":"10.1109/NICOInt.2019.00013","DOIUrl":"https://doi.org/10.1109/NICOInt.2019.00013","url":null,"abstract":"Artistic volume light is a common visual effect element in 2d animations. Recently, there is a trend to make video games and movies based on popular 2d animations. Our research presents a new method to render 3d artistic volume light at a real-time speed. This method takes the advantages of both mesh method and function method while avoiding their disadvantages. And by using GPU's features, our method can present a high-quality result of rendering while preserving a extremely low computation cost.","PeriodicalId":436332,"journal":{"name":"2019 Nicograph International (NicoInt)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129894002","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}
Zepeng Wang, Chunyuan Li, Tsutomu Kinoshita, Zhiyi Zhang, K. Konno
{"title":"Unfoldment of Surface Pattern with Highlighting Decoration Via Rotationally Symmetric Jomon Earthenware","authors":"Zepeng Wang, Chunyuan Li, Tsutomu Kinoshita, Zhiyi Zhang, K. Konno","doi":"10.1109/NICOInt.2019.00014","DOIUrl":"https://doi.org/10.1109/NICOInt.2019.00014","url":null,"abstract":"With the development of 3D scanning technology, it is more convenient and simple to obtain the surface patterns of the cultural relics by using the 3D models. In order to observe the surface patterns and decoration parts of cultural relics for archaeologists, a new method is proposed to unfold the surface pattern for rotationally symmetric Jomon earthenware. In the previous study, we have proposed an unfoldment method that could achieve the transformation of the 3D coordinate point cloud from earthenware to a 2D plane. Our 2D unfoldment method solves a distortion problem around the center line. Unfortunately, the unfold elements are only points and it will lead to the insufficient display of the patterns and decoration parts. Therefore, in this paper, the feature points information will be separately extracted from 3D models and it will be added to the unfolded 2D plane.","PeriodicalId":436332,"journal":{"name":"2019 Nicograph International (NicoInt)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129859033","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}
Jiashun Xia, Uuganbayar Ganbold, Yi Zhang, Hayato Sasaki, D. Shima, T. Akashi
{"title":"Local Texture Based Borderline Detection of Mowing","authors":"Jiashun Xia, Uuganbayar Ganbold, Yi Zhang, Hayato Sasaki, D. Shima, T. Akashi","doi":"10.1109/NICOInt.2019.00008","DOIUrl":"https://doi.org/10.1109/NICOInt.2019.00008","url":null,"abstract":"With the development of automatic robots technology, it is using for more and more fields, mowing is still done manually. One of the important reasons of this is that it is difficult to automatically plan the mowing path. Therefore, we proposed a method for finding the boundary line between the cut grass and the uncut grass based on GLCM (grey-level co-occurrence matrix) for this problem. The features we extracted were energy, contrast, correlation and entropy by each GLCM, then using the average of each feature to segment the image of the grass. We used these features to find a boundary line that maximizes the difference in features on both sides. Finally, GA (genetic algorithm) is used to solve the maximization problem. The experiment shows that it is feasible to distinguish between the cut grass and the uncut grass using GA and GLCM features.","PeriodicalId":436332,"journal":{"name":"2019 Nicograph International (NicoInt)","volume":"625 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115673486","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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