Prof. Heikki J. Ailisto Profile

Prof. Heikki J. Ailisto

at VTT Technical Research Ctr of Finland Ltd

SPIE Involvement:

Author

Publications (13)

Proceedings Article | 28 March 2005 Paper

Identifying people from gait pattern with accelerometers

Heikki Ailisto, Mikko Lindholm, Jani Mantyjarvi, Elena Vildjiounaite, Satu-Marja Makela

Proceedings Volume 5779, (2005) https://doi.org/10.1117/12.603331

KEYWORDS: Gait analysis, Biometrics, Personal digital assistants, Sensors, Cell phones, Computing systems, Data communications, Video surveillance, Video, Electronics

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Proceedings Article | 5 October 2001 Paper

Effect of different thresholding methods in RGB imaging

Jari Miettinen, Heikki Ailisto

Proceedings Volume 4572, (2001) https://doi.org/10.1117/12.444215

KEYWORDS: RGB color model, Defect detection, Inspection, Cameras, Error analysis, Optical inspection, Image processing, Analytical research, Machine vision, Feature extraction

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SPIE Journal Paper | 1 June 2001

Evaluation of solid-state camera systems in varying illumination conditions

Jyrki Laitinen, Jani Saviaro, Heikki Ailisto

OE, Vol. 40, Issue 06, (June 2001) https://doi.org/10.1117/12.10.1117/1.1365937

KEYWORDS: Cameras, CCD cameras, Video, Interference (communication), Video surveillance, Signal to noise ratio, Imaging systems, CMOS cameras, Optical filtering, Control systems

Proceedings Article | 10 September 1999 Paper

Machine-vision-guided waterjet cutting

Jussi Paakkari, Heikki Ailisto, Matti Niskala, Masa Makarainen, Kauko Vainamo

Proceedings Volume 3827, (1999) https://doi.org/10.1117/12.361017

KEYWORDS: Machine vision, Computing systems, Laser cutting, Calibration, Cameras, Imaging systems, Visual process modeling, Computer aided design, Pixel resolution, Prototyping

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Proceedings Article | 10 September 1999 Paper

Experimental evaluation of CCD and CMOS cameras in low-light-level conditions

Jyrki Laitinen, Heikki Ailisto

Proceedings Volume 3827, (1999) https://doi.org/10.1117/12.361002

KEYWORDS: Cameras, CCD cameras, CMOS cameras, Video, Interference (communication), Imaging systems, Video surveillance, CCD image sensors, Absorbance, Charge-coupled devices

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In this research characteristics of standard commercial CCD and CMOS cameras are evaluated experimentally and compared. Special attention is paid to the operation of these devices in low light level condition, which is typical to many surveillance and consumer electronics applications. One emerging application utilizing inexpensive image sensors at variable illumination condition is the UMTS (Universal Mobile Telecommunications System), which will deliver wirelessly, for example, pictures, graphics and video from the year 2002. The determination of the system performance is based in this study on the imaging of a calibrated gray scale test chart at varying illumination condition. At each level of illumination the system response is characterized by a signal to random noise figure. The signal is calculated as the difference of the system response to the lightest and darkest areas of the gray scale. The random noise is measured as the standard deviation of the gray values in a difference of two successive images of the test pattern. The standard deviation is calculated from 10-bit digitized images for small group of pixels (36 X 36) corresponding to the different areas of the gray scale in the test pattern images. If the random noise is plot as a function of signal (encoded in digital numbers, DN) for small group of pixels, a Photon Transfer curve is obtained. This is one of the basic performance standards of CCD sensors. However, if camera systems with nonlinear response or AGC are evaluated, the variations of the system response at different signal levels should be included to the performance measure. In these cases the signal to noise curve is useful. The signal to random noise curves were determined for a CCD and a CMOS camera characterized by similar specifications. The comparison between two camera systems shows that considerable differences between the operation of these devices especially at low light level condition can exist. It was found that approximately a sevenfold illumination level is needed in the case of the exemplary CMOS camera compared to the CCD camera in order to achieve a reasonable imaging performance.

Proceedings Article | 29 December 1998 Paper

Dimensional measurement of plate products using a novel moire system

Jussi Paakkari, Heikki Ailisto

Proceedings Volume 3520, (1998) https://doi.org/10.1117/12.334321

KEYWORDS: Moire patterns, Tolerancing

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Proceedings Article | 18 September 1997 Paper

Integrated machine vision technology for line-scan applications

Risto Mitikka, Markku Pietikainen, Jouko Vilmi, Heikki Ailisto

Proceedings Volume 3205, (1997) https://doi.org/10.1117/12.285565

KEYWORDS: Machine vision, Line scan image sensors, Imaging systems, Cameras, Computing systems, Defect detection, Sensors, Frame grabbers, Analytical research, Prototyping

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Proceedings Article | 19 August 1997 Paper

Using a TDI camera in vibration conditions with nonzero viewing angles for surface inspection

Jari Miettinen, Heikki Ailisto

Proceedings Volume 3101, (1997) https://doi.org/10.1117/12.281300

KEYWORDS: Electronic filtering, Cameras, Modulation, Image quality, Inspection, Sensors, Imaging systems, Image sensors, Optical inspection, Line scan image sensors

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Proceedings Article | 31 October 1996 Paper

Using TDI camera with nonzero viewing angles for surface inspection

Jari Miettinen, Xu Zelin, Heikki Ailisto

Proceedings Volume 2908, (1996) https://doi.org/10.1117/12.257249

KEYWORDS: Sensors, Cameras, Image quality, Electronic filtering, Modulation, Inspection, Image quality standards, Optical inspection, Image sensors, Imaging systems

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Proceedings Article | 13 September 1995 Paper

Vison guidance of a laser profiler for monitoring refractory lining wear in steel mills

Heikki Ailisto, Risto Mitikka, Ilkka Moring, Hannu Jokinen

Proceedings Volume 2598, (1995) https://doi.org/10.1117/12.220905

KEYWORDS: Head, Laser optics, 3D metrology, Cameras, Video, Laser applications, Optical testing, Frame grabbers, Computing systems, Visual process modeling

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SPIE Journal Paper | 1 September 1995

Optical three-dimensional coordinate meter with vision guidance for submillimeter pointing to tags

Heikki Ailisto, Risto Mitikka, Ilkka Moring, Ilkka Kaisto

OE, Vol. 34, Issue 09, (September 1995) https://doi.org/10.1117/12.10.1117/12.208086

KEYWORDS: 3D metrology, Sensors, 3D vision, Video, 3D modeling, Optical testing, Control systems, 3D acquisition, Cameras, Reliability

Proceedings Article | 6 October 1994 Paper

Guiding 3D coordinate measurement with an integrated video camera

Heikki Ailisto, Risto Mitikka, Ilkka Moring, Ilkka Kaisto

Proceedings Volume 2350, (1994) https://doi.org/10.1117/12.189123

KEYWORDS: 3D metrology, Data modeling, Computer aided design, Video, 3D modeling, Cameras, Control systems, Solid modeling, Image analysis, Frame grabbers

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Proceedings Article | 1 February 1991 Paper

Inspection of a class of industrial objects using a dense range map and CAD model

Heikki Ailisto, Jussi Paakkari, Ilkka Moring

Proceedings Volume 1384, (1991) https://doi.org/10.1117/12.25309

KEYWORDS: Inspection, Sensors, Computer aided design, 3D modeling, Solid modeling, Optical character recognition, Manufacturing, Error analysis, 3D metrology, Data modeling

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Showing 5 of 13 publications

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