Akira Kimachi

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This paper proposes a gonio-spectral imaging system for measuring light reflection on an object surface by using two robot arms, a multi-band lighting system, and a monochrome digital camera. It allows four degrees of freedom in incident and viewing angles necessary for full parametrization of a reflection model function. Spectral images captured for(More)
A method of real-time heterodyne imaging interferometry using a three-phase correlation image sensor (3PCIS) is proposed. It simultaneously demodulates the amplitude and phase images of an incident interference pattern at an ordinary frame rate with good accuracy, thus overcoming the trade-off among measurement time, spatial resolution, and demodulation(More)
The present paper realizes multiband spectral imaging with high spatial resolution for omnidirectional estimation of scene illuminant in a simple measuring system. To overcome the mirrored ball problems, we propose a multiband omnidirectional imaging system using a high-resolution trichromatic digital camera, a fisheye lens, and two color filters of(More)
A real-time method for heterodyne speckle pattern interferometry using the correlation image sensor (CIS) is proposed. The CIS demodulates the interference phase of heterodyned speckle wavefronts pixelwise at an ordinary video frame rate. The proposed method neither suffers loss of spatial resolution nor requires a high frame rate. Interferometers for(More)
This paper proposes a goniophotometric system for measuring light reflection on an object surface using two commercial robot arms and a digital camera. It allows four degrees of freedom in incident and viewing angles necessary for full parametrization of a reflection model. Collected images are transformed as if they were all captured from the same viewing(More)
We propose a feature extraction method for a newly developed vibratory image sensor. The proposed method extracts a local log-polar symmetry as image feature. In this article, it is shown that log-polar symmetric patterns include well-known characteristic points such as edges, corners, peaks, and so on. The principle of our method is as follows: a periodic(More)