KINDAI UNIVERSITY


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HIRONAGA Mikiya

Profile

FacultyDepartment of Informatics
PositionLecturer
Degree
Commentator Guidehttps://www.kindai.ac.jp/meikan/480-hironaga-mikiya.html
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Last Updated :2020/09/01

Education and Career

Academic & Professional Experience

  •   2013 , Faculty of Science and Engineering, Kindai University

Research Activities

Research Areas

  • Informatics, Intelligent robotics
  • Informatics, Perceptual information processing

Published Papers

  • Solid Modelling by using Polyharmonic Function of Volume Distribution, Yoshihiro Ochiad, Mikiya Hironaga, Narihei Kawashima, Nihon Kikai Gakkai Ronbunshu, C Hen/Transactions of the Japan Society of Mechanical Engineers, Part C, Nihon Kikai Gakkai Ronbunshu, C Hen/Transactions of the Japan Society of Mechanical Engineers, Part C, 66(646), 2082 - 2087, 2000
    Summary:This paper describes a method of solid modelling using the three-dimensional polyharmonic function of volume distribution. This method requires the arbitrary points or lines on the free-form surface of solid model. The free-form surface is defined using algebra sum. The free-form surfaces of solid model are searched, after solving the simultaneous linear algebric equation. In this paper, the polyharmonic functions of volume distribution and their related functions are deduced. These functions effectively smooth the obtained surface, even if functions of low order are used. In order to investigate the efficiency of this method, several examples are given. © 2000, The Japan Society of Mechanical Engineers. All rights reserved.
  • Generation of Free-Form Surface by Integral Equation and Mapping, OCHIAI Yoshihiro, ISHIDA Ryohei, HIRONAGA Mikiya, Transactions of the Japan Society of Mechanical Engineers. C, Transactions of the Japan Society of Mechanical Engineers. C, 63(611), 2564 - 2569, Jul. 25 1997
    Summary:This paper describes a method for generating a free-form surface by a boundary integral equation and mapping. This method requires knowing the boundary geometry of the free-form surface and setting arbitrary points on the free-form surface. First, a standard surface is developed onto a plain surface by mapping. The height of the points on the free-form surface is calculated, after solving the discretized boundary integral equation. These points are inverse-mapped onto the original space. In order to investigate the efficiency of this method, several examples are performed.
  • An algorithm for automatic extraction of contour lines from Moire image, HIRONAGA Mikiya, MIYAMOTO Takao, NAGAE Sadahiko, Journal of Graphic Science of Japan, Journal of Graphic Science of Japan, 26(3), 5 - 10, 1992
    Summary:Noise reduction is one of significant problems for Moire image processing. The detection of true con-tour lines in a noisy Moire image often requires to rejoint contours split by noises. We developed a recursive search method and a loop controlled method which identify the direction of short segment of lines in a small area to connect and repair contour lines. Unfortunately, these two mehtods can not connect contour lines without errors. When they accept human judgements, however, they are efficient and useful enough to find contour lines because the human effort to indicate whether to connect two lines or not is very slight. With these methods we can obtain contour lines more easily, faster, more accurately than before.
  • Two Methods for Color Constancy Based on the Color Correlation Matrix, Takashi Toriu, Mikiya Hironaga, Naoya Hasebe, GENETIC AND EVOLUTIONARY COMPUTING, VOL I, GENETIC AND EVOLUTIONARY COMPUTING, VOL I, 387, 165 - 173, 2016 , Refereed
    Summary:Two methods for color constancy are proposed in this paper. Both are based on the correlation matrix on the three-dimensional space of colors, red, green and blue. In the first method, the eigenvector corresponding to the largest eigenvalue is assumed to be a good estimate of the illumination color, and the influence of the illumination color is eliminated from the input image. In the second method, it is assumed that the eigenvector corresponding to the largest eigenvalue presents the color gray when the illumination is white The image under white illumination is obtained by a iteration method so as to satisfy the condition that the eigenvector corresponding to the largest eigenvalue presents the color gray. These two methods were compared to a widely used typical method for color constancy, the Gray-world method, by simulation experiments using synthesized images and real images, and the effectiveness of the proposed methods was validated by these experiments.
  • A Color Constancy Model with Minimum Brightness Variance Assumption, Naoya Hasebe, Mikiya Hironaga, Takashi Toriu, SIXTH INTERNATIONAL CONFERENCE ON GRAPHIC AND IMAGE PROCESSING (ICGIP 2014), SIXTH INTERNATIONAL CONFERENCE ON GRAPHIC AND IMAGE PROCESSING (ICGIP 2014), 9443, 2015 , Refereed
    Summary:The realization of color constancy on computer vision is important to recognize objects in varying light sources. This paper proposes a method to estimate the illuminant under the "Minimum Brightness Variance Assumption" which states that the variation of the brightness of the objects is as small as possible. In this method, the illuminant is estimated to be red when the red part of the object in the scene is bright. In detail, we define an evaluation function to calculate the variance of the brightness in the scene and we minimize the evaluation function to estimate the color of the illuminant and the color of the object. We conducted experiments with synthetic images and confirmed that the proposed method works well to reduce the influence of the illuminant for the objects in the scene.
  • Estimating the noise variance in an image acquisition system and its influence on the accuracy of recovered spectral reflectances, Mikiya Hironaga, Noriyuki Shimano, APPLIED OPTICS, APPLIED OPTICS, 49(31), 6140 - 6148, Nov. 2010 , Refereed
    Summary:It is well known that the noise present in an image acquisition system plays important roles in solving inverse problems, such as the reconstruction of spectral reflectances of imaged objects from the sensor responses. Usually, a recovered spectral reflectance vector (r) over cap by a matrix W is expressed by (r) over cap Wp, where p is a sensor response vector. In this paper, the mean square errors (MSEs) between the recovered spectral reflectances with various reconstruction matrices W and actual spectral reflectances are divided into the noise independent MSE (MSEFREE) and the noise dependent MSE (MSENOISE). By dividing the MSE into two terms, the MSENOISE is defined as the estimated noise variance multiplied by the sum of the squared singular values of the matrix W. It is shown that the relation between the increase in the MSE and the MSENOISE agrees quite well with the experimental results by the multispectral camera, and that the estimated noise variances are of the same order of magnitude for various matrices W, but the increase in the MSE by the noise mainly results from the increase in the sum of the squared singular values for the unregularized reconstruction matrix W. (C) 2010 Optical Society of America
  • Recovery of spectral reflectances of imaged objects by the use of features of spectral reflectances, Noriyuki Shimano, Mikiya Hironaga, JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS IMAGE SCIENCE AND VISION, JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS IMAGE SCIENCE AND VISION, 27(2), 251 - 258, Feb. 2010 , Refereed
    Summary:Recovery of spectral reflectances of objects being imaged through the use of sensor responses is important to reproduce color images under various illuminations. Although the Wiener estimation is usually used for the recovery, the recovery performance of the estimation depends on the autocorrelation matrix of the spectral reflectances and the noise present in an image acquisition system. The purpose of the present paper is to show that the Wiener estimation with the noise variance estimated by the previous proposal [IEEE Trans. Image Process. 16, 1848 ( 2006)] and with the autocorrelation matrix that uses the features of the spectral reflectances recovered by the previous method is very effective in greatly improving the performance. (C) 2010 Optical Society of America
  • Estimating the noise influence on recovering reflectances, Mikiya Hironaga, Noriyuki Shimano, IMAGE QUALITY AND SYSTEM PERFORMANCE VII, IMAGE QUALITY AND SYSTEM PERFORMANCE VII, 7529, 2010 , Refereed
    Summary:The evaluation of the noise present in the image acquisition system and the influence of the noise is essential to image acquisition. However the mean square errors (MSE) is not divided into two terms, i.e., the noise independent MSE (MSEfree) and noise dependent MSE (MSEnoise) were not discussed separately before. The MSEfree depends on the spectral characteristics of a set of sensors, illuminations and reflectances of imaged objects and the MSEfree arises in the noise free case, however MSEnoise originates from the noise present image acquisition system. One of the authors (N.S.) already proposed a model to separate the MSE into the two factors and also proposed a model to estimate noise variance present in image acquisition systems. By the use of this model, we succeeded in the expression of the MSEnoise as a function of the noise variance and showed that the experimental results agreed fairly well with the expression when the Wiener estimation was used for the recovery. The present paper shows the extended expression for the influence of the system noise on the MSEnoise and the experimental results to show the trustworthiness of the expression for the regression model, Imai-Berns model and finite dimensional linear model.
  • Noise robustness of a colorimetric evaluation model for image acquisition devices with different characterization models, Mikiya Hironaga, Noriyuki Shimano, APPLIED OPTICS, APPLIED OPTICS, 48(28), 5354 - 5362, Oct. 2009 , Refereed
    Summary:Colorimetric evaluation of an image acquisition device is important for evaluating and optimizing a set of sensors. We have already proposed a colorimetric evaluation model [J. Imaging Sci. Technol. 49, 588-593 (2005)] based on the Wiener estimation. The mean square errors (MSE) between the estimated and the actual fundamental vectors by the Wiener filter and the proposed colorimetric quality (Qc) agree quite well with the proposed model and we have shown that the estimation of the system noise variance of the image acquisition system is essential for the evaluation model. In this paper, it is confirmed that the proposed model can be applied to two different reflectance recovery models, and these models provide us an easy method for estimating the proposed colorimetric quality (Qc). The influence of the system noise originates from the sampling intervals of the spectral characteristics of the sensors, the illuminations and the reflectance and the quantization error on the evaluation model are studied and it is confirmed from the experimental results that the proposed model holds even in a noisy condition. (C) 2009 Optical Society of America
  • Evaluating the quality of an image acquisition device aimed at the reconstruction of spectral reflectances using recovery models, Mikiya Hironaga, Noriyuki Shimano, JOURNAL OF IMAGING SCIENCE AND TECHNOLOGY, JOURNAL OF IMAGING SCIENCE AND TECHNOLOGY, 52(3), May 2008 , Refereed
    Summary:Accurate recovery of spectral reflectances is important for color reproduction under a variety of illuminations, and several models have been proposed to recover them. To evaluate the quality (Q(r)) of an image acquisition system aimed at recovery of spectral reflectances, we proposed an evaluation model based on Wiener estimation and showed that mean square errors between the recovered and measured spectral reflectances as a function of Or agree quite well with the prediction from the model, and that estimation of the noise variance of the image acquisition system is essential to the evaluation model. In this paper, the evaluation model was applied to two different reflectance recovety methods, and it is confirmed that the proposed model can be applied to different methods. (c) 2008 Society for Imaging Science and Technology.
  • A new proposal for the accurate recovery of spectral reflectances of imaged objects without prior knowledge, Nonyuki Shimano, Mikiya Hironaga, ARCHIVING 2008, FINAL PROGRAM AND PROCEEDINGS, ARCHIVING 2008, FINAL PROGRAM AND PROCEEDINGS, 155 - 158, 2008 , Refereed
    Summary:Recovery of spectral reflectances of imaged objects is important to reproduce color images under arbitrary illuminations. In this paper, a new method is proposed to recover spectral reflectances accurately through the use of image data without prior knowledge of the imaged objects. It is shown that the Wiener estimation which uses the noise variance estimated by training samples and the features of the recovered spectral reflectances is effective to improve the recovery performance.
  • Recovery of spectral reflectances of objects being imaged by multispectral cameras, Noriyuki Shimano, Kenichiro Terai, Mikiya Hironaga, JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS IMAGE SCIENCE AND VISION, JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS IMAGE SCIENCE AND VISION, 24(10), 3211 - 3219, Oct. 2007 , Refereed
    Summary:Acquisition of spectral information of objects being imaged through the use of sensor responses is important to reproduce color images under various illuminations. In the past several models have been proposed to recover the spectral reflectances from sensor responses. The accuracy of the spectral reflectances recovered by five different models is compared by using multispectral cameras. It is shown that the Wiener estimation that uses the noise variance estimated as proposed in IEEE Trans. Image Process. 15, 1848 (2006) recovers the spectral reflectances more accurately than the others when the test samples are different from learning samples. (c) 2007 Optical Society of America.
  • Recovery of spectral reflectances of objects being imaged by multispectral cameras, Noriyuki Shimano, Kenichiro Terai, Mikiya Hironaga, JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS IMAGE SCIENCE AND VISION, JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS IMAGE SCIENCE AND VISION, 24(10), 3211 - 3219, Oct. 2007 , Refereed
    Summary:Acquisition of spectral information of objects being imaged through the use of sensor responses is important to reproduce color images under various illuminations. In the past several models have been proposed to recover the spectral reflectances from sensor responses. The accuracy of the spectral reflectances recovered by five different models is compared by using multispectral cameras. It is shown that the Wiener estimation that uses the noise variance estimated as proposed in IEEE Trans. Image Process. 15, 1848 (2006) recovers the spectral reflectances more accurately than the others when the test samples are different from learning samples. (c) 2007 Optical Society of America.
  • Analysis of mean square errors of spectral reflectances recovered by multispectral cameras, Noriyuki Shimano, Mikiya Hironaga, FIFTEENTH COLOR IMAGING CONFERENCE: COLOR SCIENCE AND ENGINEERING SYSTEMS, TECHNOLOGIES, AND APPLICATIONS, FINAL PROGRAM AND PROCEEDINGS, FIFTEENTH COLOR IMAGING CONFERENCE: COLOR SCIENCE AND ENGINEERING SYSTEMS, TECHNOLOGIES, AND APPLICATIONS, FINAL PROGRAM AND PROCEEDINGS, 147 - 150, 2007 , Refereed
    Summary:Acquisition of the spectral reflectances of imaged objects through the use of sensor responses is important for color reproduction of images under various illuminations. The accuracy of the recovered spectral reflectances depends not only on the spectral sensitivities of sensors but also on the noise present in a device. For the first time, the mean square errors (MSE) between the measured and recovered spectral reflectances were separated into noise dependent and noise independent MSE based on the proposed model. Experiments were performed to study the influence of the bit-depth of the analog to digital conversion and of the sampling intervals over the visible wavelength on the MSE. It is shown that the sum of the theoretically calculated noise dependent and independent MSE agrees fairly well with the MSE of the spectral reflectances recovered by multispectral cameras. It is also confirmed that the noise dependent MSE increases with a decrease in the bit-depth and that the noise independent MSE increases with an increase in the sampling intervals. The separation of the MSE into noise dependent and independent MSE gives a powerful tool for the accurate image acquisition.

Misc

  • D-11-102 Color image reproduction by the case of color appearance model, Noami Toshifumi, Hironaga Mikiya, Nishimura Takuya, Shimano Noriyuki, Proceedings of the IEICE General Conference, 2009, 2,   2009 03 04 , http://ci.nii.ac.jp/naid/110007095985
  • Image Segmentation by Scale Space Method using Adaptive Search Method : Combination of the Search Algorithm, CHIBA Junpei, HIRONAGA Mikiya, NISIMURA Takuya, 全国大会講演論文集, 70, 0, 333, 334,   2008 03 13 , http://ci.nii.ac.jp/naid/110006865472
    Summary:To reduce the undesirable image segmentation, a search range is applied for a scale tree production. We introduced a new search function to restrict the search range for the next node to build the tree. It is confirmed that our method obtains the better segmentation result than before.
  • Study of 3D Vision with a Single Eye using the Optical Flow : A study of Obstacle Detection using the Vanishing Point, FURUKAWA Tatsuro, HIRONAGA Mikiya, NISHIMURA Takuya, 全国大会講演論文集, 70, 0, 343, 344,   2008 03 13 , http://ci.nii.ac.jp/naid/110006865477
  • Study of 3D Vision with a Single Eye using the Optical Flow : A study of Obstacle Detection using the Vanishing Point, FURUKAWA Tatsuro, HIRONAGA Mikiya, NISHIMURA Takuya, IEICE technical report, 107, 487, 29, 31,   2008 02 12 , http://ci.nii.ac.jp/naid/110006936621
    Summary:The recent development of robots are remarkable, and they are applied in various fields. A sight is indispensable for autonomous actions of robots. For getting three-dimensional information with a single eye, we proposed a method of using the optical flow. In this study, we added the extract of vanishing point with Hough transform to the previous method. We have confirmed that the precision of detecting obstructing object's is improved with the extracted vanishing point.
  • Study of 3D Vision with a Single Eye using the Optical Flow : A study of Obstacle Detection using the Vanishing Point, FURUKAWA Tatsuro, HIRONAGA Mikiya, NISHIMURA Takuya, IEICE technical report. Image engineering, 107, 489, 29, 31,   2008 02 12 , http://ci.nii.ac.jp/naid/110006937350
    Summary:The recent development of robots are remarkable, and they are applied in various fields. A sight is indispensable for autonomous actions of robots. For getting three-dimensional information with a single eye, we proposed a method of using the optical flow. In this study, we added the extract of vanishing point with Hough transform to the previous method. We have confirmed that the precision of detecting obstructing object's is improved with the extracted vanishing point.
  • 5-12 Image Segmentation by Scale Space Method using Adaptive Search Method : Optimization of Search Function, CHIBA Junpei, HIRONAGA Mikiya, NISIMURA Takuya, ITE Winter Annual Convention, 2007, "5, 12-1",   2007 11 27 , http://ci.nii.ac.jp/naid/110009485242
    Summary:To reduce the undesirable image segmentation, a search range is applied for a scale tree production. We introduced a new search function to restrict the search range for the next node to build the tree. It is confirmed that our method obtains the better segmentation result than before.
  • 2-1 Form Abnormalities Recognition of the Sea Bream Fry, Oogaki Masaru, Hironaga Mikiya, Inoue Toshitugu, Higashimoto Akemi, Takeda Shouichi, ITE Winter Annual Convention, 2006, "2, 1-1",   2006 11 20 , http://ci.nii.ac.jp/naid/110009485538
    Summary:The sea bream is being cultivated in the Regional Fisheries Research Laboratories, Kinki University. A culture sea bream occurs abnormalities in form owing to the imbalanced nutrition etc. Now, an expert presumes visually that abnormalities are normal for discernment of a sea bream fry, and an alternative is identified. The automatic discernment is indispensable in order to carry out reduction of cost etc. This research examines how to identify a normal sea bream fry and an unusual sea bream fry.
  • D-11-77 Form Abnormalities Recognition of the Sea Bream Fry under Culture, Oogaki Masaru, Inoue Toshinori, Higashimoto Akemi, Hironaga Mikiya, Nagae Sadahiko, Proceedings of the IEICE General Conference, 2006, 2,   2006 03 08 , http://ci.nii.ac.jp/naid/110006217822
  • 7-9 Form Abnormalities Recognition of the Sea Bream Fry by Image Processing, Oogaki Masaru, INOUE Toshinori, HIGASHIMOTO Akemi, HIRONAGA Mikiya, NAGAE Sadahiko, ITE Winter Annual Convention, 2005, "7, 9-1",   2005 11 14 , http://ci.nii.ac.jp/naid/110009485148
    Summary:The sea bream is being cultivated in the Regional Fisheries Research Laboratories, Kinki University. A culture sea bream occurs abnormalities in form owing to the well-balanced nutrition etc. Now, an expert presumes visually that abnormalities are normal for discernment of a sea bream fry, and an alternative is identified. The automatic discernment is indispensable in order to carry out reduction of cost etc. This research examines how to identify a normal sea bream fry and an unusual sea bream fry.
  • 10-3 Image Segmentation by Scale Space Method Using Adaptive Search Methods : A Study on Restricting The Search Range, OKUNAGA Takeshi, HIRONAGA Mikiya, NISHIMURA Takuya, Proceedings of the ... ITE annual convention, 2005, "10, 3-1",   2005 08 01 , http://ci.nii.ac.jp/naid/110009469351
  • 10-4 Image Segmentation by Scale Space Method Using Adaptive Search Methods : Improving Segmentation by Intensity Gradient, MAEZAKI Wataru, HIRONAGA Mikiya, NISHIMURA Takuya, Proceedings of the ... ITE annual convention, 2005, "10, 4-1",   2005 08 01 , http://ci.nii.ac.jp/naid/110009469352
  • I-011 A Study of 3D Vision with a Single Eye using the Optical Flow : Reducing Noises by Off-course Objects, Date Makoto, Hironaga Mikiya, Nagae Sadahiko, 情報科学技術フォーラム一般講演論文集, 3, 3, 23, 24,   2004 08 20 , http://ci.nii.ac.jp/naid/110007683911
  • I-022 Image Segmentation by Scale Space Method Using Quantum Adaptive Methods : A Study of Permissible Error, Matuoka Masatoshi, Tominaga Hiroki, Hironaga Mikiya, Nagae Sdahiko, 情報科学技術フォーラム一般講演論文集, 3, 3, 47, 48,   2004 08 20 , http://ci.nii.ac.jp/naid/110007683922
  • D-12-21 Image Segmentation by Scale Space Method Using Continuous Adaptive 8 Methods, MATUOKA Masatosi, TOMINAGA Hiroki, HIRONAGA Mikiya, NAGAE Sadahiko, Proceedings of the IEICE General Conference, 2004, 2,   2004 03 08 , http://ci.nii.ac.jp/naid/110003263846
  • A Study of Template Matching in 3D Vision with a Single Eye using the Optical Flow, Date Makoto, Hironaga Mikiya, Nagae Sadahiko, PROCEEDINGS OF THE ITE CONVENTION, 2003, 0, 102, 102,   2003 , http://ci.nii.ac.jp/naid/130004599138
    Summary:A moving robot needs to get the three-dimensional information of its surroundings. In this research, we propose the new technique using the optical flow for the three-dimensional view methods by a single eye. Moreover, we improved on accuracy and flexibility with a study of template matching.
  • Image segmentation by Scale space method using adaptive search methods, Matuoka Masatosi, Tominaga Hiroki, Hironaga Mikiya, Nagae Sadahiko, PROCEEDINGS OF THE ITE CONVENTION, 2003, 0, 98, 98,   2003 , http://ci.nii.ac.jp/naid/130004599301
    Summary:We propose a new image segmentation method in scale space. To construct a structure tree, we search and trace points in smoothed images and connecting them each other. Thus we propose a new search range at the time of generating the structure tree.
  • 3D Vision with a Single Eye using the Optical Flow:A Study of Noise Reduction in an Indoor Environment, Date Makoto, Hironaga Mikiya, Nagae Sadahiko, PROCEEDINGS OF THE ITE CONVENTION, 2003, 0, 83, 83,   2003 , http://ci.nii.ac.jp/naid/130005053181
    Summary:A moving robot needs to get the three-dimensional information of its surroundings. In previous research , we proposed a new technique using theoptical flow for the three-dimensional view with a single eye. In this research, we improved on flexibility with a study of noise reduction in an indoorenvironment.
  • Image segmentation by Scale space method using two search methods, TOMINAGA Hiroki, HIRONAGA Mikiya, NAGAE Sadahiko, PROCEEDINGS OF THE ITE CONVENTION, 2, 0, 157, 157,   2002 , http://ci.nii.ac.jp/naid/130004598899
  • Image segmentation by Scale space method using adaptive search method, TOMINAGA Hiroki, HIRONAGA Mikiya, NAGAE Sadahiko, PROCEEDINGS OF THE ITE CONVENTION, 2, 0, 76, 76,   2002 , 10.11485/itetaikai.02win.0.76.0, http://ci.nii.ac.jp/naid/130004599110
  • 9-3 Image segmentation by Scale space method using grandient of smoothed image, TOMINAGA Hiroki, HIRONAGA Mikiya, NAGAE Sadahiko, ITE Winter Annual Convention, 2001,   2001 12 06 , http://ci.nii.ac.jp/naid/110003672574
  • 1-8 A Study on 3D Vision with a Single Eye, KONDO Kazushige, HIRONAGA Mikiya, NAGAE Sadahiko, ITE Winter Annual Convention, 2000,   2000 12 06 , http://ci.nii.ac.jp/naid/110003672431
  • 21-12 A Human Motion Estimate on Several Control Points, OTOBE Takashi, KOJIMA Kazuya, NIRONAGA Mikiya, NAGAE Sadahiko, Proceedings of the ... ITE annual convention, 2000, 314, 315,   2000 08 23 , http://ci.nii.ac.jp/naid/110006461832
    Summary:In this study, we aim to reproduce more natural motion in dance motion. In the first step, we analyzed the relation of three random variables (shoulder, elbow, and wrist). Then, we estimated the dance motion in multivariate autoregressive model. The results showed the possibility to reproduce dance motion on several control points.
  • 1-4 A Human Motion Analysis Using The Rhythum-A Human Motion Estimate on The Control Points, KOJIMA Kazuya, OTOBE Takashi, HIRONAGA Mikiya, NAGAE Sadahiko, KAWAMOTO Yasuhiro, ITE Winter Annual Convention, 1999,   1999 12 09 , http://ci.nii.ac.jp/naid/110004054217
  • Solid Modelling by using Polyharmonic Function of Volume Distribution, Ochiai Yoshihiro, Hironaga Mikiya, Journal of the Faculty of Science and Technology, Kinki University, 35, 237, 243,   1999 09 30 , http://ci.nii.ac.jp/naid/110000173991
  • A Study on a Human Motion Analysis Using The Rhythm, KOJIMA Kazuya, HIRONAGA Mikiya, NAGAE Sadahiko, KAWAMOTO Yasuhiro, ITE Winter Annual Convention, 1998,   1998 12 03 , http://ci.nii.ac.jp/naid/110003706594
  • On Image Segmentation by Scale Space using Edge Information, HIRONAGA MIKIYA, MIYAMOTO TAKAO, TAKASHIMA YOSHINAO, 電子情報通信学会秋季大会講演論文集, 1994,   1994 09 26 , http://ci.nii.ac.jp/naid/110003339290
    Summary:Lawrenceらは尺度空間フィルタリングを用いて、平滑化された画像の解像度変化に伴う極点の位置変化から画像全体の構造木を作成し、画像を領域分割する方法を提案した。小山らは近接領域の分割の改良について報告している。