KOTANI, Kazunori Professor
Division of Transdisciplinary Sciences, School of Information Science, Entertainment Technology Area, Research Center for Entertainment Science
B.E., M.E. and Ph.D.from Nagaoka University of Technology (1981,1983,1990) 長岡技術科学大学
B.E., M.E. and Ph.D.from Nagaoka University of Technology (1981,1983,1990) 長岡技術科学大学
B.E., M.E. and Ph.D.from Nagaoka University of Technology (1981,1983,1990) 長岡技術科学大学
◆Professional Experience
: Associate (1990), Associate Professor (Adjunct, 1991-1992) at Nagaoka University of Technology, Researcher Multi-media Communication System at University of California, Davis (UC/Davis) (1991,1995), Staff member of High Quality Imaging and Television Lab
Intelligent robotics, Perceptual information processing, Intelligent informatics
◆Research Keywords
Image Analysis, Facial Image Analysis, CG, Computer Vision
◆Research Interests
1. Computer Imaging
We are doing research work on an image analysis, understanding and synthesis(CG).Computer Graphics : We are developing CG models of natural objects by analyzing the characteristics of surface and shape of the objects microscopically and macroscopically. For example, computing models of flower and snow are obtained by an approximation of mathematical or parametrical exact models. We are also developing a transform algorithm from natural image to brash paint picture using multi-resolution analysis of wavelet function.Computer Vision : Our research themes are ・an estimation for occluding situation of moving objects based on velocity space and motion continuity of Optical Flows, ・optimization of pattern spectrum analysis for Mathematical Morphology, ・streoscopic vision for a rotating spherical object covered with a smoothly varying surface.Image Analysis and Understanding : Through the diffusion of computers, human communication has come to depend on machines. At this time, the key to human communication is how efficiently and accurately a senseless machine can translate emotional information. Furthermore, it is desirable that users be able to exchange information pleasantly via communication system without being conscious of the machine. For this reason, the focus of our research is to analyze the facial expression based on recognition science, artificial reality using techniques of Computer Graphics.
2. Image Data Compression and Picture Quality Evaluation
Color television, color image processing and computer graphics are concerned with the reproduction of colors in the real world. When discussing the visual impact of processing results, it involves the tolerance of color differences perceived by human eyes.Color Information Theory and Picture Quality Evaluation :In a uniform color space, it is possible to relate the processing error with a perceptual degree of deterioration. Then we can evaluate the quality of a processing system and refine it to achieve images of higher quality. For example, by analyzing the relation between perceptual properties of color and image quality using multiple regression analysis or Nural Networks, a computer can estimate the quality of a picture quantitatively instead of a person. Picture Coding : We are now trying to develop a loss less coding for Extra High Resolution Color Image (over 2048x2048 pixel & 36 bits/pel).


◆Published Papers
Initialization of active contours for segmentation of breast cancer via fusion of ultrasound, Doppler, and elasticity images
Keatmanee Chadaporn, Chaumrattanakul Utairat, Kotani Kazunori, Makhanov Stanislav S
ULTRASONICS, 94, 438-453, 2019
Less-visible contrast enhancement based on the human visual perception
S. Keerativittayanun, K. Kotani, T. Kondo, T. Phatrapornnant, J. Karnjana
Optik, 157, 467-483, 2018
Objective & Subjective Evaluation Models of Pencil Still Drawings for Art Education
Yoshiko Furusho, Kazunori Kotani
DICTA 2017 - 2017 International Conference on Digital Image Computing: Techniques and Applications, 2017-December, 1-5, 2017
An automatic screening method for primary open-angle glaucoma assessment using binary and multi-class support vector machines
Pikul Vejjanugraha, Waree Kongprawechnon, Toshiaki Kondo, Kanokvate Tungpimolrut, Kazunori Kotani
SCIENCEASIA, 43, 4, 229-239, 2017
Yoshiko Furusho, Kazunori Kotani
Unsupervised learning from facial expression by Latent Dirichlet Allocation:Discover the hidden topics from a face
SIRITANAWAN Prarinya, HO Tu Bao, KOTANI Kazunori
Technical Committee on Biometrics, 114, 251, 49-54, 2014
An objective evaluation model for subjective quality of virtual reality endoscopic simulator for oral surgery
HOSHINO Shinya, IZAWA Junko, CHEN Fan, KOTANI Kazunori, MIKI Takehiro, MATSUI Yoshiro
IEICE technical report., 111, 389, 331-336, 2012
Facial Expression Recognition by using 2D Continuous DP matching on Facial Range Image
WATANABE Tomohiro, IZAWA Junko, KOTANI Kazunori
ITE Technical Report, 34, 0, 11-14, 2010
LH-004 Facial Expression Recognition by Fast Supervised Independent Component Analysis
CHEN Fan, KOTANI Kazunori
情報科学技術レターズ, 6, 219-222, 2007
共著, 東京電気大学出版局, 2008
編者(編著者) , pp.175-191, オーム社出版局, 1997
新版 画像電子ハンドブック、2章 視知覚特性、3章 色情報
編者(編著者) , pp.11-27, コロナ社, 1993

■Teaching Experience

Pattern Analysis and Recognition, Analysis for Information Science(E), Analysis for Information Science, Transdisciplinary Session I, 認識処理工学特論, 情報解析学特論(E), 情報解析学特論, 異分野「超」体験セッションⅠ

■Contributions to  Society

◆Academic Society Affiliations
日本顔学会, 映像メディア学会, 電子情報通信学会, 日本色彩学会, 日本口腔外科学会, Information Processing Society of Japan, The Institute of Electronics, Information and Communication Engineers

■Academic  Awards

・ Best Paper Award , IEEE-RIVF2012 International Conference on Computing and Communication Technologies , 2012
・ テレビジョン学会論文賞 , 1992