The Journal of The Institute of Image Information and Television Engineers
Online ISSN : 1881-6908
Print ISSN : 1342-6907
ISSN-L : 1342-6907
Volume 68, Issue 2
Displaying 1-25 of 25 articles from this issue
Focus
Message from Honorary Member: For Members Carrying on Next Generation
Special Issue
Interactive Content
Topics
Technical Guide
Fundamentals of Image Input Device Technologies(2)
Keywords you should know(97)
RIKEJO, Be Radiant!; Rooters' songs for science / engineering girls(7)
Media Watch(22)
News
  • Yuhei Shibukawa, Yoshinori Dobashi, Tsuyoshi Yamamoto
    2014 Volume 68 Issue 2 Pages J66-J71
    Published: 2014
    Released on J-STAGE: January 24, 2014
    JOURNAL FREE ACCESS
    This paper focuses on the rendering of fluids represented by volumetric datasets. Generally, volume data can be visualized by a volume rendering technique. The result depends on the transfer function that converts volume data into colored volume. However, it is often difficult to create the desired images by manually adjusting the transfer function. We propose an intuitive system that allows the user to directly design the appearance of the volume by specifying the colors of the volume with a set of control points. The system solves an inverse problem to determine the transfer function such that the colors of the rendered image become the same as those of the control points. In our method, the transfer function is a multi-dimensional function of features computed from the input volume dataset. Our method represents the transfer function as a linear combination of radial basis functions to solve the inverse problem.
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  • Yoshiki Oka, Masanobu Yamamoto
    2014 Volume 68 Issue 2 Pages J72-J77
    Published: 2014
    Released on J-STAGE: January 24, 2014
    JOURNAL FREE ACCESS
    At a theme park or entertainment show, actors wearing a cartoon-character costumes entertain guests. Unfortunately, existing cartoon-character costumes have heads with a fixed facial expression. We propose a novel cartoon-character costume where the head is equiped with a web camera inside and display panel outside. When an actor wears the head, the web camera captures the face of the actor. Based on the pattern classification technique, the facial expression is classified into one of five categories of emotion: anger, joy, sadness, surprise and neutrality. For each category, a corresponding facial image is chosen from a bank of facial images of cartoon characters. The chosen image is depicted on the display panel as the face in real time. The new costume head enables the actor to communicate with audiences interactively and play the other characters immediately by changing the facial image bank.
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  • Makiko Harada, Hidenori Watanave
    2014 Volume 68 Issue 2 Pages J78-J86
    Published: 2014
    Released on J-STAGE: January 24, 2014
    JOURNAL FREE ACCESS
    The purpose of this study is to show ordinary people the meaning of words on the web. To achieve this purpose, we use cross-search results. The keywords extracted from the sentences constitute nodes. The results are visualized as a tree, the color of which reflects the emotions of the twitter results. To show the effectiveness of our work, we analyze the web traffic of our site, users' comments, a questionnaire about interface design and the results of an experiment comparing our approach with the existing searching way. From these studies, we believe that people will find our work useful as a way to show relationships between words in different linguistic corpora on the web.
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  • Yasutaka Matsuo, Ryoki Takada, Shinya Iwasaki, Jiro Katto
    2014 Volume 68 Issue 2 Pages J92-J98
    Published: 2014
    Released on J-STAGE: January 24, 2014
    JOURNAL FREE ACCESS
    Image super-resolution quality is degraded by the noise component of an image. However the noise should not be eliminated because of its importance in high-definition impression for digital cinema. We therefore propose an image super-resolution method using the synthesis of the super-resolution signal and noise components respectively after dividing an original image into signal and noise components. The signal component's resolution is enhanced using registration between the signal component and its multi-scale Wavelet components with resolution-enhanced parameter optimization.
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  • Kota Saito, Tomoharu Nagao
    2014 Volume 68 Issue 2 Pages J99-J107
    Published: 2014
    Released on J-STAGE: January 24, 2014
    JOURNAL FREE ACCESS
    Many scene analysis methods have been proposed in recent years that approach the challenging task of detecting the many people in various poses when they are partially occluded. In this paper, we present a parts-based method that can efficiently detect humans in various poses and states of occlusion. The proposed method segments depth images into small regions; these regions are then classified as human or nonhuman. The method then merges the regions classified as human into one region per person and outputs bounding rectangles for those regions. Experimental results show that this method is more effective than a previous method in detecting occluded people in various poses.
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