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Article type: Cover
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Published: November 11, 2011
Released on J-STAGE: September 21, 2017
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Article type: Index
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Published: November 11, 2011
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Keita YASUTOMI, Shoji KAWAHITO
Article type: Article
Session ID: IST2011-69
Published: November 11, 2011
Released on J-STAGE: September 21, 2017
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Conventional CMOS Image sensors with global shutter have a poor image quality mainly due to the kTC noise. This paper reviews kTC-noise-free global shutter pixels for CMOS image sensors.
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Sousuke Shimoyama, Masayuki Ikebe, Masaki Igarashi, Akira Mizuno, Juni ...
Article type: Article
Session ID: IST2011-70
Published: November 11, 2011
Released on J-STAGE: September 21, 2017
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Local Histogram Equalization (LHE), which is efficient for High Dynamic Range (HDR) compression, requires a large amount of calculation and induces unnatural image quality. Using checker-wise histogram acquisition and line buffer, memory accessing for local histograms is processed in O(1) time. For improving image quality, we proposed approximation of LHE by compositing gamma functions. Moreover the weighting of local histogram is developed by introducing mean values of bins for the suppression and control of halo effect. We set the range of parameters for controlling halo effect by sensitivity evaluation.
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Hiromasa SHIMAOKA, Yoshiaki MIZUCHI, Yoshinobu HAGIWARA, Hiroki IMAMUR ...
Article type: Article
Session ID: IST2011-71
Published: November 11, 2011
Released on J-STAGE: September 21, 2017
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The purpose of this study is to enhance map-based mobile robot localization with Laser Range Finder (LRF) by using hue information obtained from an omni-camera image. The conventional localization method using only LRF is difficult in the environment that successionally has similar shape. In this paper, we propose the map-based localization combined with LRF and hue information obtained from an omni-camera image. By combining hue information, our method can maintain robot localization in the environment that is difficult to localize only with LRF.
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Keiichiro KAGAWA, Rui SHOGENJI, Kenji YAMADA, Shoji KAWAHITO, Jun TANI ...
Article type: Article
Session ID: IST2011-72
Published: November 11, 2011
Released on J-STAGE: September 21, 2017
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TOMBO (Thin Observation Module by Bound Optics) is a compact three-dimensional camera, which is composed of a single image sensor and a lens array. A TOMBO with polarized illuminations and an array of analyzers is studied for endoscopic applications to distinguish relative depths of blood vessels. In this report, a model of divergence of polarization to scattering is built. A prototype of polarization TOMBO with 3×3 lenses was fabricated and dependencies of the analyzer angle and the wavelength of illumination on the observed compound-eye image were discussed.
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Shun KODAMA, Hiroki IMAMURA
Article type: Article
Session ID: IST2011-73
Published: November 11, 2011
Released on J-STAGE: September 21, 2017
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We propose the system to efficiently manage more than one cultivation areas of hydroponic-culture with robots. In the system, users can remotely perform agricultural task that needs experimental knowledge via robot by remote manipulating. By managing more than one cultivation area with our system at one time, we can reduce the employment cost and improve work efficiency. To realize the system, development of the intuitive interface is an important element. In this paper, we propose the intuitive interface for effective information presentation and robot manipulation by using Augmented Reality technology.
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Rihito KURODA, Taiki NAKAZAWA, Yasumasa KODA, Katsuhiko HANZAWA, Shige ...
Article type: Article
Session ID: IST2011-74
Published: November 11, 2011
Released on J-STAGE: September 21, 2017
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This reports demonstrates the highly ultraviolet light sensitive and highly reliable photodiode using atomically flat Si surface. Technologies to atomically flatten Si(100) orientated surface and integration process technologies to preserve the atomic flatness are summarized. The key technologies to form the ultrathin and uniform surface photo-generated carrier drift layer and its effectiveness to the sensitivity improvement to ultraviolet light and reliability improvement to ultraviolet light exposure are reported.
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Hiroshi Kimura, Yosmongkol Sawadsaringkarn, Arata Nakazima, Takuma Kob ...
Article type: Article
Session ID: IST2011-75
Published: November 11, 2011
Released on J-STAGE: September 21, 2017
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We developed a novel neural interface device with CMOS biosensor technology for target application in optogenetics which have shown drastic improvement in recent years. Specifically, we developed on-chip type small biosensor with an array of light-emitting diodes. We expect to apply the device for on-chip biological imaging with local optical stimulation realized by the addressing function of the chip. In this report, we describe the design and characterization of the device.
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Hirokazu Nakazawa, Hiroto Watanabe, Fumihiro Dasai, Makoto Ishida, Kaz ...
Article type: Article
Session ID: IST2011-76
Published: November 11, 2011
Released on J-STAGE: September 21, 2017
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A novel complementary metal-oxide semiconductor (CMOS)-based multimodal biosensor has been devised. In the devised sensor, both electrons and holes are handled simultaneously as a signal electrical charge. We named this technique the "Hole and Electron Accumulation Technique (HEAT)." Using the HEAT sensor, two phenomena are mapped perfectly at the same time by the same pixel. In this paper, the sensing mechanism and the basic characteristics of the HEAT sensor are described. As a final result, we successfully demonstrated a multimodal sensor for the simultaneous sensing of pH (proton concentration) and light intensity.
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Koji OGAWA, Takayuki HAMAMOTO
Article type: Article
Session ID: IST2011-77
Published: November 11, 2011
Released on J-STAGE: September 21, 2017
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In this paper, we propose the image sensor with the function of extracting CHLAC feature, which is suitable for motion recognition. On-sensor CHLAC feature extraction makes it possible to reduce the amount of the processing time and the power consumption simultaneously. These benefits are expected to be effective especially when the image sensor is applied to a sensor network system. Motion recognition systems using the proposed image sensor are mentioned. And then, the structure of the image sensor is shown.
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Article type: Appendix
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Published: November 11, 2011
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Article type: Appendix
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Published: November 11, 2011
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Article type: Appendix
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Published: November 11, 2011
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