ITE Technical Report
Online ISSN : 2424-1970
Print ISSN : 1342-6893
ISSN-L : 1342-6893
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32.21
Displaying 1-13 of 13 articles from this issue
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  • [title in Japanese]
    Article type: Cover
    Pages Cover1-
    Published: May 26, 2008
    Released on J-STAGE: September 20, 2017
    DOIhttps://doi.org/10.11485/itetr.32.21.0_Cover1
    CONFERENCE PROCEEDINGS FREE ACCESS
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  • [title in Japanese]
    Article type: Index
    Pages Toc1-
    Published: May 26, 2008
    Released on J-STAGE: September 20, 2017
    DOIhttps://doi.org/10.11485/itetr.32.21.0_Toc1
    CONFERENCE PROCEEDINGS FREE ACCESS
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  • A method for KANSEI modeling using rough set
    Akihiro OGINO, Toshikazu KATO
    Article type: Article
    Session ID: ME2008-69/AIT2008-62
    Published: May 26, 2008
    Released on J-STAGE: September 20, 2017
    DOIhttps://doi.org/10.11485/itetr.32.21.0_1
    CONFERENCE PROCEEDINGS FREE ACCESS
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    This study proposes a modeling method of each customer's interest in commodities using Rough Set theory. In order to detect which attributes of commodities are focused on by a customer, this study calculates attribute sets of a commodity as "Interest Set", which characterize customer's interest and utilize an "Interest Map", which displays the interest tendencies of customers using the interest set of each customer, visually. This paper also describes an application system of this method, which indicates interest clothes to each customer using the Interest Map.
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  • A Background Modeling for 3D Video in Indoor Environment
    Aya ISSHIKI, Ryuuki SAKAMOTO, Itaru KITAHARA, Kiyoshi KOGURE
    Article type: Article
    Session ID: ME2008-70/AIT2008-63
    Published: May 26, 2008
    Released on J-STAGE: September 20, 2017
    DOIhttps://doi.org/10.11485/itetr.32.21.0_5
    CONFERENCE PROCEEDINGS FREE ACCESS
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    This paper proposes a method to reconstruct the 3D shape model of background regions simply for generating a 3D video. As the progress of computer vision technologies continues, many 3D video systems have been developed that tend to focus on automatic 3D reconstruction to capture target (foreground) objects. On the other hand, the 3D shapes of background regions such as walls and floors are generally made manually, for example, using 3D modeling software such as CAD. However, the operation is not easy for novices. In our method, a user needs only to segment multiple background images into several boxes by indicating their vertices as the corresponding points. From these data, the 3D coordinates of the vertices are calculated by using a stereo vision algorithm.
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  • Selection of evaluation terms for video game contents using cluster analysis
    Junji YOSHIDA, Hiroshi HASEGAWA, Masao KASUGA
    Article type: Article
    Session ID: ME2008-71/AIT2008-64
    Published: May 26, 2008
    Released on J-STAGE: September 20, 2017
    DOIhttps://doi.org/10.11485/itetr.32.21.0_9
    CONFERENCE PROCEEDINGS FREE ACCESS
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    In this study, for selecting appropriate evaluation terms for video game contents, many game evaluation terms were collected from game magazines and user questionnaires. In addition, evaluation experiments, in which experimental subjects evaluate the game characteristics after playing 20 video games, and statistical analyses (analysis of variance and cluster analysis) were performed for extracting the appropriate evaluation terms. As results, six kinds of evaluation terms were selected as the appropriate evaluation terms for video game by carrying out statistical analysis. The terms are "innovative", "fantasy", "length of waiting time", "reality", "comical", and "enjoyable with many people".
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  • Human Multisensory Information Processing and Psychophysical and Brain Activity Analysis Techniques
    Hiroshi ANDO
    Article type: Article
    Session ID: ME2008-72/AIT2008-65
    Published: May 26, 2008
    Released on J-STAGE: September 20, 2017
    DOIhttps://doi.org/10.11485/itetr.32.21.0_13
    CONFERENCE PROCEEDINGS FREE ACCESS
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    To develop user-friendly multisensory interfaces and establish more objective evaluation methods, we need to understand human multisensory processing mechanisms. This paper describes our research on the sense of surface quality, naturalness of visual images, and integration of visual, somatosensory, and auditory information using psychophysical and brain imaging techniques.
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  • Ghost Free Image Acquisition Technique for High Dynamic Range Images
    Takao JINNO, Masahiro OKUDA
    Article type: Article
    Session ID: ME2008-73/AIT2008-66
    Published: May 26, 2008
    Released on J-STAGE: September 20, 2017
    DOIhttps://doi.org/10.11485/itetr.32.21.0_15
    CONFERENCE PROCEEDINGS FREE ACCESS
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    We propose an image fusion technique for High Dynamic Range Image (HDRI) acquisition. By combining multiple exposure images shot with different shutter speed, we estimate an irradiance value for each pixel and then acquire the HDRIs. Our method has a capability of compensating local motion of objects. While other existing motion estimation methods often fail when a motion is large and when objects move in under- or over-exposure regions, our method can successfully compensate the motions. We verify the validity of our methods with comparison to other existing state of the art.
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  • Coloring Technique for Mountain Regions in Plain Maps with a Watercolor-Painting Style
    Atsushi ITO, Yasuhiro INOSHIMA, Toshiyuki YOSHIDA
    Article type: Article
    Session ID: ME2008-74/AIT2008-67
    Published: May 26, 2008
    Released on J-STAGE: September 20, 2017
    DOIhttps://doi.org/10.11485/itetr.32.21.0_19
    CONFERENCE PROCEEDINGS FREE ACCESS
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    The authors have developing a coloring technique for plain maps with a watercolor-painting style, which aims at an automatic generation of images for city planning, a conception of public works, and so on. In particular, this paper focuses on a technique for coloring mountain regions in a map, which was not realized in our previous report. The technique comprises three fundamental techniques: warping and mapping of a colored texture image, realization of a stereoscopic effect by shading, and generation of features of watercolor paintings by using the distance transformation and the alpha-blending techniques. An effective algorithm has been obtained to generate a high-quality colored map.
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  • The Proposal of the New Evaluation Method of Business Executives from a Viewpoint of Kansei Engineering
    Masashi NAKATSU, Noriyuki HORIE, Makiko SENBON, Mie SATO, Masao KASUGA
    Article type: Article
    Session ID: ME2008-75/AIT2008-68
    Published: May 26, 2008
    Released on J-STAGE: September 20, 2017
    DOIhttps://doi.org/10.11485/itetr.32.21.0_23
    CONFERENCE PROCEEDINGS FREE ACCESS
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    This paper which the study focuses on companies and business executives will present a new method that is capable of making more accurate analysis and evaluation on business enterprises and business executives. Accordingly, we present new parameters and factors for the quantitative evaluation use. And the descriptions about how the presented method will be useful as a new analysis and evaluation method on companies and business executives are contained.
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  • A Study on Extraction Method of Internal Limiting Membrane and Retinal Pigment for Computer-Aided Diagnosis Scheme Using OCT
    Toshiki YAGI, Fumio OKUYAMA, Hiroharu KAWANAKA, Shinji TSURUOKA
    Article type: Article
    Session ID: ME2008-76/AIT2008-69
    Published: May 26, 2008
    Released on J-STAGE: September 20, 2017
    DOIhttps://doi.org/10.11485/itetr.32.21.0_27
    CONFERENCE PROCEEDINGS FREE ACCESS
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    In order to quantitatively evaluate retinal diseases, it is important to measure the thickness between internal limiting membrane of the retina and retinal pigment epithelium in the images obtained by an Optical Coherence Tomography (OCT). The purpose of this study is a development of Computer-Aided Diagnosis (CAD) scheme for measuring the retinal thickness with high precision. In our CAD scheme, internal limiting membrane of the retina and retinal pigment epithelium was first extracted by proposed the filters for edge enhancement. Using the result, the retinal thickness was then measured automatically. The performance of our CAD scheme was evaluated by 40 optical coherence tomographic images obtained at Kyoto University Hospital. Our CAD scheme measured the retinal thickness at rate of 62.5% (25/40) correctly.
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  • [title in Japanese]
    Article type: Appendix
    Pages App1-
    Published: May 26, 2008
    Released on J-STAGE: September 20, 2017
    DOIhttps://doi.org/10.11485/itetr.32.21.0_App1
    CONFERENCE PROCEEDINGS FREE ACCESS
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  • [title in Japanese]
    Article type: Appendix
    Pages App2-
    Published: May 26, 2008
    Released on J-STAGE: September 20, 2017
    DOIhttps://doi.org/10.11485/itetr.32.21.0_App2
    CONFERENCE PROCEEDINGS FREE ACCESS
    Download PDF (77K)
  • [title in Japanese]
    Article type: Appendix
    Pages App3-
    Published: May 26, 2008
    Released on J-STAGE: September 20, 2017
    DOIhttps://doi.org/10.11485/itetr.32.21.0_App3
    CONFERENCE PROCEEDINGS FREE ACCESS
    Download PDF (77K)
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