ITE Technical Report
Online ISSN : 2424-1970
Print ISSN : 1342-6893
ISSN-L : 1342-6893
Search
Advanced search
OR
Browse
Search
32.46
Displaying 1-16 of 16 articles from this issue
Show all abstracts
    • |<
    • <
    • 1
    • >
    • >|
  • [title in Japanese]
    Article type: Cover
    Pages Cover1-
    Published: October 23, 2008
    Released on J-STAGE: September 20, 2017
    DOIhttps://doi.org/10.11485/itetr.32.46.0_Cover1
    CONFERENCE PROCEEDINGS FREE ACCESS
    Download PDF (11K)
  • [title in Japanese]
    Article type: Index
    Pages Toc1-
    Published: October 23, 2008
    Released on J-STAGE: September 20, 2017
    DOIhttps://doi.org/10.11485/itetr.32.46.0_Toc1
    CONFERENCE PROCEEDINGS FREE ACCESS
    Download PDF (53K)
  • Current Topics for Computer Graphics. : Report of SIGGEAPH2008
    Masayuki Nakajima
    Article type: Article
    Session ID: ME2008-162
    Published: October 23, 2008
    Released on J-STAGE: September 20, 2017
    DOIhttps://doi.org/10.11485/itetr.32.46.0_1
    CONFERENCE PROCEEDINGS FREE ACCESS
    Show abstractHide abstract
    CG, Human Interface, Multimedia, Virtual Reality Technology are improved rapidly these days for many kind of fields in entertainment like movie, TV and game, and Visualization in Medical, Engineering and Science etc.. I report current topics in SIGGRAPH2008 conference during 11th, August through 15th, August held in Los Angeles Convention Center, CA, USA.
    View full abstract
    Download PDF (1270K)
  • SIGGRAPH 2008 paper summary
    Hiroki Takahashi
    Article type: Article
    Session ID: ME2008-163
    Published: October 23, 2008
    Released on J-STAGE: September 20, 2017
    DOIhttps://doi.org/10.11485/itetr.32.46.0_7
    CONFERENCE PROCEEDINGS FREE ACCESS
    Show abstractHide abstract
    SIGGRAPH is an international conference related to CG(Computer Graphics) and interactive technology. This annual conference was held from 11th in August to 15th in August at Los Angeles, California, USA. This article gives brief review of papers presented at SIGGRAPH2008.
    View full abstract
    Download PDF (595K)
  • Real-Time Rendering of Fur Using Volumetric Data Structure
    Daisuke Yamada, Tsuyoshi Yamamoto, Yoshinori Dobashi
    Article type: Article
    Session ID: ME2008-164
    Published: October 23, 2008
    Released on J-STAGE: September 20, 2017
    DOIhttps://doi.org/10.11485/itetr.32.46.0_11
    CONFERENCE PROCEEDINGS FREE ACCESS
    Show abstractHide abstract
    In movies or computer game, realistic rendering of animals by 3DCG has been realized. For the rendering of an animal, a fur is one of the important factors and it is indispensable to create realistic images. However, in general, rendering of fur is computationally expensive, and global illumination effects have note been taken into account in the traditional methods. The goal of our research is the real-time rendering of the fur taking into account the global illumination effects. Our method utilizes the precomputed radiance transfer (PRT) method. That is, our method calculates the luminance data which are necessary for the fast rendering in a preprocessing step. However the size of the precomputed data and the preprocessing time become enormous when considering the fur. We address these problems by compressing the data and by using volumetric data structure.
    View full abstract
    Download PDF (1359K)
  • An Efficient Method for Creating Character Animation with Level of Detail Technique
    Yosuke FUJII, Yoshinori DOBASHI, Tsuyoshi YAMAMOTO
    Article type: Article
    Session ID: ME2008-165
    Published: October 23, 2008
    Released on J-STAGE: September 20, 2017
    DOIhttps://doi.org/10.11485/itetr.32.46.0_15
    CONFERENCE PROCEEDINGS FREE ACCESS
    Show abstractHide abstract
    Deformation of 3D model in character animation is one of the important research fields in computer graphics. For the deformation of 3D models, a method using convergence calculation to generate desired shape is often employed. However, if shape is complex, convergence calculation would be very time-consuming. In general, it is genrally difficult to create rough and approximate control mesh that can realize the deformation efficiently with numerical stabilities. When a control mesh is too rough, the deformed shape would be very unnatural. When the control mesh was too fine, the computational cost increases. In this paper, we propose a fast and natural deformation method for creating character animation by changing control mesh by using the idea of level of detail technique.
    View full abstract
    Download PDF (679K)
  • A Note on Flow Estimation based on Particle Filter : Introduction of Helmholtz Decomposition Theorem into Observation Model
    Norihiro KAKUKOU, Takahiro OGAWA, Miki HASEYAMA
    Article type: Article
    Session ID: ME2008-167
    Published: October 23, 2008
    Released on J-STAGE: September 20, 2017
    DOIhttps://doi.org/10.11485/itetr.32.46.0_19
    CONFERENCE PROCEEDINGS FREE ACCESS
    Show abstractHide abstract
    This paper proposes an effective flow estimation method based on a Helmholtz decomposition theorem with a particle filter. In a traditional method based on the Helmholtz decomposition theorem, since it does not consider translation and estimation errors included in previous flows, its performance tends to become degraded. Therefore, the proposed method extends the Helmholtz decomposition theorem with the translation. By using the extended theorem, the flow estimation considering the translation can be realized. Furthermore, the proposed method regards the flows as state variables in the particle filter. Then, the proposed method defines a process that the flows of the pixels in the current frame are provided from the ones of pixels in the previous frame as a state transition model. The proposed method defines the following two processes as an observation model. One is that intensities including additive noise in the current frame are generated from the flows of the pixels in the current frame. The other one is that the flows of the pixels in the current frame are decomposed into rotational and divergent components including the additive noise. By using the particle filter based on these models, the proposed method can estimate the flows of the pixels in the current frame in such a way that the estimation errors included in the previous flows do not affect the flow estimation scheme. Consequently, an accurate flow estimation can be achieved.
    View full abstract
    Download PDF (773K)
  • A note on Similarity Evaluation of Images in Web Pages Based on Link Analysis
    Shota MURAYAMA, Miki HASEYAMA
    Article type: Article
    Session ID: ME2008-168
    Published: October 23, 2008
    Released on J-STAGE: September 20, 2017
    DOIhttps://doi.org/10.11485/itetr.32.46.0_23
    CONFERENCE PROCEEDINGS FREE ACCESS
    Show abstractHide abstract
    This paper proposes a new similarity evaluation method for images in Web pages based on link analysis. The proposed method assumes that there are areas which contain common contents and have similar image features in the images, whose Web pages are connected by links. Based on the assumption, the proposed method defines similarity measure of the images. Consequently, with the similarity measure, the problem in the traditional methods of being affected by the image features of different contents can be solved, and an effective image retrieval is realized.
    View full abstract
    Download PDF (530K)
  • A note on spatio-temporal resolution enhancement of video sequences based on super-resolution reconstruction : Introduction of clustering scheme based on feature point correspondence
    Makoto TAKIZAWA, Miki HASEYAMA
    Article type: Article
    Session ID: ME2008-169
    Published: October 23, 2008
    Released on J-STAGE: September 20, 2017
    DOIhttps://doi.org/10.11485/itetr.32.46.0_27
    CONFERENCE PROCEEDINGS FREE ACCESS
    Show abstractHide abstract
    This paper proposes a new spatio-temporal resolution enhancement method of video sequences based on super-resolution reconstruction. The proposed method uses obtained homography matrix's parameters based on feature points correspondence for calculating the pixel correspondence between successive frames. In this procedure, the proposed method clusters the feature points correspondence and calculates the homography matrix's parameters from the feature points correspondence in the largest cluster. By using the obtained parameters, camera parameters are calculated accurately. Furthermore, from the camera parameters, we estimates the pixel correspondence between the successive frames and the interpolated one. With the obtained motion vector, we apply the super-resolution reconstruction. Consequently, we can obtain an accurate high-resolution and high frame rate video sequence. Simulation results are shown to confirm the high performance of the proposed method.
    View full abstract
    Download PDF (1218K)
  • Low Complexity Speaker Identification in AAC Domain
    Haojun AI, Miki HASEYAMA
    Article type: Article
    Session ID: ME2008-170
    Published: October 23, 2008
    Released on J-STAGE: September 20, 2017
    DOIhttps://doi.org/10.11485/itetr.32.46.0_31
    CONFERENCE PROCEEDINGS FREE ACCESS
    Show abstractHide abstract
    This paper presents an implementation of a low-complexity speaker identification algorithm working in the compressed audio domain. The goal is to perform speaker modeling and identification without decoding the AAC bitstream to extract speaker dependent features, thus saving important system resource. The silence detection and MFCC parameters are calculated from MDCT coefficient other than from the FFT spectrum. Each speaker is modeled by a GMM, which is trained using the EM algorithm to refine the weight and the parameters of each component. The recognition accuracies of our algorithm reach 97% for ARCTIC database with 16% CPU overload comparing to the algorithms based on the analysis of the decoded PCM signals.
    View full abstract
    Download PDF (465K)
  • A Study on KANSEI Evaluation Focused on the Genre of Contents
    Tomohiro SUGAYA, Toshiaki SUGIHARA, Mie SATO, Masao KASUGA
    Article type: Article
    Session ID: ME2008-171
    Published: October 23, 2008
    Released on J-STAGE: September 20, 2017
    DOIhttps://doi.org/10.11485/itetr.32.46.0_35
    CONFERENCE PROCEEDINGS FREE ACCESS
    Show abstractHide abstract
    Recently, with the development of the contents production technology, new productions have been appeared successively in the movie world. Therefore, for make a production that receives the high evaluation from the viewers; the necessity of the research that pays attention to person's sensibility has risen. In this research, we conduct an experiment for developing a KANSEI evaluation method for objectively evaluation of producer's intention. As the result, we found some useful the words as evaluation indices
    View full abstract
    Download PDF (708K)
  • A Study on Animating Picture with Flicker
    Tomomi Mori, Yuji Sakamoto
    Article type: Article
    Session ID: ME2008-172
    Published: October 23, 2008
    Released on J-STAGE: September 20, 2017
    DOIhttps://doi.org/10.11485/itetr.32.46.0_39
    CONFERENCE PROCEEDINGS FREE ACCESS
    Show abstractHide abstract
    In this paper, we propose a new simple method of making animations that have motion like water surface and sunlight through foliage by adding flicker to a picture. In our method, we generate height data of surface from an original image, and, by oscillating them, make a sequence data. The luminance values are fluctuated based on these data by using bump mapping, and thus, the animations are generated. Various motion can be obtained by operating some variable numbers. For example, when we determine the amplitude by considering the initial height of near pixels, it is able to control a smoothness of motion. Additionally, when different frequencies are applied to each area of image, they move at different speed. It was revealed that it is effective in expressions like the perspective.
    View full abstract
    Download PDF (722K)
  • Education and Research Activities in Private University : In Case of Tokyo Denki University
    Shin-ichi MURAKAMI
    Article type: Article
    Session ID: ME2008-173
    Published: October 23, 2008
    Released on J-STAGE: September 20, 2017
    DOIhttps://doi.org/10.11485/itetr.32.46.0_43
    CONFERENCE PROCEEDINGS FREE ACCESS
    Show abstractHide abstract
    This paper is composed of two parts. The first part describes the present state of education and research activities of private university in Japan by showing the case of Tokyo Denki University. Specifically, the features and problems of private university in Japan are introduced by exemplifying the general aspects and business situation of Tokyo Denki University. The second part describes the main research results executed in Image Processing Laboratory of Tokyo Denki University as its graduation thesis and post graduation thesis. Specifically, several papers in three research fields of Image recognition, Image generation and Image database are presented.
    View full abstract
    Download PDF (1813K)
  • [title in Japanese]
    Article type: Appendix
    Pages App1-
    Published: October 23, 2008
    Released on J-STAGE: September 20, 2017
    DOIhttps://doi.org/10.11485/itetr.32.46.0_App1
    CONFERENCE PROCEEDINGS FREE ACCESS
    Download PDF (80K)
  • [title in Japanese]
    Article type: Appendix
    Pages App2-
    Published: October 23, 2008
    Released on J-STAGE: September 20, 2017
    DOIhttps://doi.org/10.11485/itetr.32.46.0_App2
    CONFERENCE PROCEEDINGS FREE ACCESS
    Download PDF (80K)
  • [title in Japanese]
    Article type: Appendix
    Pages App3-
    Published: October 23, 2008
    Released on J-STAGE: September 20, 2017
    DOIhttps://doi.org/10.11485/itetr.32.46.0_App3
    CONFERENCE PROCEEDINGS FREE ACCESS
    Download PDF (80K)
    • |<
    • <
    • 1
    • >
    • >|
feedback
 Top