Dr. Yoshihiko Nomura Profile

Dr. Yoshihiko Nomura

Professor at Mie Univ

SPIE Involvement:

Author

Publications (18)

Proceedings Article | 3 February 2014 Paper

Motion lecture annotation system to learn Naginata performances

Daisuke Kobayashi, Ryota Sakamoto, Yoshihiko Nomura

Proceedings Volume 9025, 90250F (2014) https://doi.org/10.1117/12.2041630

KEYWORDS: Video, Motion measurement, 3D modeling, Motion models, Image segmentation, Sensors, Human-machine interfaces, Gyroscopes, 3D image processing, Data modeling

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Proceedings Article | 4 February 2013 Paper

A restrained-torque-based motion instructor: forearm flexion/extension-driving exoskeleton

Takuya Nishimura, Yoshihiko Nomura, Ryota Sakamoto

Proceedings Volume 8662, 86620J (2013) https://doi.org/10.1117/12.2003683

KEYWORDS: Motion measurement, Servomechanisms, Prototyping, Calibration, Video, Mechanical engineering, Injuries, Human-machine interfaces, Robots, Machine vision

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Proceedings Article | 23 January 2012 Paper

3D positional control of magnetic levitation system using adaptive control: improvement of positioning control in horizontal plane

Toshimasa Nishino, Yasuhiro Fujitani, Norihiko Kato, Naoaki Tsuda, Yoshihiko Nomura, Hirokazu Matsui

Proceedings Volume 8301, 83010K (2012) https://doi.org/10.1117/12.907722

KEYWORDS: Magnetism, Control systems, Adaptive control, Robots, Feedback signals, Space robots, Control systems design, Manufacturing, Air contamination, Machine vision

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Proceedings Article | 24 January 2011 Paper

Fingertip guiding manipulator for blind persons to create mental images by switch passive/active hybrid line-drawing explorations

Syed Muammar Najib Syed Yusoh, Yoshihiko Nomura, Kazuya Inoue, Naomi Kokubo

Proceedings Volume 7878, 78780L (2011) https://doi.org/10.1117/12.876478

KEYWORDS: Haptic technology, Visualization, Switches, Switching, Interfaces, Free space, Object recognition, Imaging systems, Computing systems, Robots

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Proceedings Article | 19 January 2009 Paper

Synthetic aperture method for GPR considering depth-changed shape of reflected waveform

Hirofumi Kotaki, Yoshihiko Nomura, Hirokazu Fujii, Yoshikazu Sudo

Proceedings Volume 7252, 725208 (2009) https://doi.org/10.1117/12.805421

KEYWORDS: General packet radio service, Radio propagation, Wave propagation, Electromagnetic radiation, Antennas, Distortion, Signal attenuation, Ground penetrating radar, Visualization, Error analysis

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Proceedings Article | 19 January 2009 Paper

A study on SSD calculation between input image and subpixel-translated template images and its applications to a subpixel image matching problem

Hitoshi Nishiguchi, Yoshihiko Nomura

Proceedings Volume 7252, 72520R (2009) https://doi.org/10.1117/12.805637

KEYWORDS: Error analysis, Image registration, Image processing, Algorithm development, Machine vision, Computer vision technology, Super resolution, Medical imaging, Detection and tracking algorithms, Imaging systems

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Proceedings Article | 10 September 2007 Paper

High accuracy 2D sub-pixel matching method skillfully managing error characteristics

Hitoshi Nishiguchi, Yoshihiko Nomura, Ryota Sakamoto, Tokuhiro Sugiura

Proceedings Volume 6764, 67640K (2007) https://doi.org/10.1117/12.730602

KEYWORDS: Error analysis, Image registration, Image processing, Machine vision, Computer vision technology, Algorithm development, Image restoration, Data acquisition, Composites, Feature extraction

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In computer vision, many algorithms have been developed for image registration based on image pattern matching. However, there might be no universal method for all applications because of their advantages and disadvantages. Therefore, we have to select the best method suited for each task. A representative sub-pixel registration method uses one dimensional parabola fitting over the similarity measurements at three positions. The parabola fitting method could be applied to two dimensional, assuming that horizontal and vertical displacements are independent. Although this method has been widely used because of their simplicity and practical usability, large errors are involved. To avoid these errors depending on the spatial structure of image pattern, "two-dimensional simultaneous sub-pixel estimation" was proposed. However, it needs conditional branching control procedures such as scan field expansion and exception. The conditional branching control procedures make estimation instable and disturb the speed of processing. Therefore, the authors employ a paraboloid fitting: by using the least square method, a paraboloid is fitted with the image similarity values at nine points and the best matching point is obtained with sub-pixel order. It is robust against the image pattern and enables speed-up, but it still has error margin. The authors analyzed the error characteristics of the sub-pixel estimation using the paraboloid fitting. The error can be characterized by "a bias; a systematic error" and "dispersion; a random error." It was found that the magnitude of each error was different according to the sub-pixel values of the best matching positions. In this paper, based on the analysis, the authors proposed a novel accurate algorithm for 2D subpixel matching. The method does not need any iteration processes and any exception processes on runtime. Therefore, it is easy to implement the method on software and hardware. Experimental results demonstrated the advantage of the proposed algorithm.

Proceedings Article | 2 October 2006 Paper

High-quality and small-capacity e-learning video featuring lecturer-superimposing PC screen images

Yoshihiko Nomura, Michinobu Murakami, Ryota Sakamoto, Tokuhiro Sugiura, Hirokazu Matsui, Norihiko Kato

Proceedings Volume 6384, 63840E (2006) https://doi.org/10.1117/12.684672

KEYWORDS: Video, Cameras, Image processing, Computing systems, Digital cameras, Imaging systems, Video processing, Image quality, Digital video recorders, Video surveillance

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Proceedings Article | 25 October 2005 Paper

High performance file compression algorithm for video-on-demand e-learning system

Yoshihiko Nomura, Ryutaro Matsuda, Ryota Sakamoto, Tokuhiro Sugiura, Hirokazu Matsui, Norihiko Kato

Proceedings Volume 6006, 60060X (2005) https://doi.org/10.1117/12.630497

KEYWORDS: Video, Image processing, Digital imaging, Image compression, Digital image processing, Video compression, Cameras, Video surveillance, Video processing, Digital cameras

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Proceedings Article | 25 October 2004 Paper

Theoretical error analysis with camera parameter calibration

Takashi Fujimoto, Yoshihiko Nomura, Dili Zhang

Proceedings Volume 5603, (2004) https://doi.org/10.1117/12.570574

KEYWORDS: Calibration, Cameras, Error analysis, Visualization, Machine vision, Imaging systems, Statistical analysis, 3D metrology, Device simulation, Distortion

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Proceedings Article | 30 September 2003 Paper

Parametric eigenspace method using multiple discriminant analysis

Satoru Nakanishi, Tokuhiro Sugiura, Yoshihiko Nomura, Norihiko Kato

Proceedings Volume 5267, (2003) https://doi.org/10.1117/12.513721

KEYWORDS: Object recognition, Principal component analysis, Detection and tracking algorithms, Scattering, Robots, Machine vision, Computer vision technology, Robot vision, Active vision, Chemical elements

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Proceedings Article | 5 February 2002 Paper

Design framework of a teleoperating system for a magnetically levitated robot with force feedback

Naoaki Tsuda, Norihiko Kato, Yoshihiko Nomura, Hirokazu Matsui

Proceedings Volume 4570, (2002) https://doi.org/10.1117/12.454742

KEYWORDS: Magnetism, Systems modeling, Fermium, Control systems, Algorithm development, Robotic systems, Space robots, Electromagnetism, Manufacturing, Mechatronics

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Proceedings Article | 5 October 2001 Paper

Image segmentation method based on extended co-occurrence matrix for multidimensional features and multiple observation windows

Terumoto Komori, Jun Ohmura, Yoshihiko Nomura, James Boyce

Proceedings Volume 4572, (2001) https://doi.org/10.1117/12.444204

KEYWORDS: Image segmentation, Expectation maximization algorithms, Image processing algorithms and systems, Image processing, Statistical analysis, Image analysis, Infrared imaging, Information fusion, Edge detection, Transform theory

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Proceedings Article | 11 October 2000 Paper

Optimization of camera parameter calibration based on a new criterion with effective visual angle

Yoshihiko Nomura, Takashi Fujimoto, Norihiko Kato, Hirokazu Matsui, Dili Zhang

Proceedings Volume 4197, (2000) https://doi.org/10.1117/12.403763

KEYWORDS: Calibration, Visualization, Cameras, Error analysis, Lithium, 3D image processing, Technetium, Imaging systems, Machine vision, Laser induced fluorescence

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Proceedings Article | 26 August 1999 Paper

Visual target-object search using Gabor transform

Dili Zhang, Isamu Matsuura, Yoshihiko Nomura

Proceedings Volume 3837, (1999) https://doi.org/10.1117/12.360325

KEYWORDS: Target detection, Visualization, Model-based design, Visual process modeling, Detection and tracking algorithms, Fourier transforms, Data modeling, Machine vision, Computer vision technology, Image processing

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Proceedings Article | 26 August 1999 Paper

Pose-estimation error analysis of the L-shaped line segments for object recognition

Yoshihiko Nomura, Junichi Hirata, Dili Zhang

Proceedings Volume 3837, (1999) https://doi.org/10.1117/12.360326

KEYWORDS: 3D modeling, Error analysis, Image segmentation, 3D image processing, Lanthanum, Object recognition, Cameras, Visual process modeling, Imaging systems, CCD cameras

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Proceedings Article | 20 April 1993 Paper

Image-data-based matching for affine-transformed pictures

Yoshihiko Nomura, Yujiro Harada, Seizo Fujii

Proceedings Volume 1827, (1993) https://doi.org/10.1117/12.143055

KEYWORDS: Statistical analysis, Matrices, Feature extraction, Optimization (mathematics), Parallel computing

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Proceedings Article | 23 March 1993 Paper

Simple and accurate camera calibration method

Dili Zhang, Yoshihiko Nomura, Seizo Fujii

Proceedings Volume 1822, (1993) https://doi.org/10.1117/12.141952

KEYWORDS: Calibration, Cameras, 3D image processing, Error analysis, Distortion, Stereoscopic cameras, Iterative methods, Imaging systems, Information visualization, Visualization

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