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Yasutaka Hirasawa
Researcher at Sony Broadcast & Professional Research Laboratories
Publications - 43
Citations - 269
Yasutaka Hirasawa is an academic researcher from Sony Broadcast & Professional Research Laboratories. The author has contributed to research in topics: Pixel & Image processing. The author has an hindex of 8, co-authored 43 publications receiving 217 citations.
Papers
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Journal ArticleDOI
3.2-MP Back-Illuminated Polarization Image Sensor With Four-Directional Air-Gap Wire Grid and 2.5- $\mu$ m Pixels
Yasushi Maruyama,Takashi Terada,Tomohiro Yamazaki,Yusuke Uesaka,Motoaki Nakamura,Yoshihisa Matoba,Kenta Komori,Yoshiyuki Ohba,Shinichi Arakawa,Yasutaka Hirasawa,Kondo Yuhi,Jun Murayama,Kentaro Akiyama,Yusuke Oike,Shuzo Sato,Takayuki Ezaki +15 more
TL;DR: In this paper, a 3.2-MP four-directional polarization image sensor with air-gap wire-grid polarizer is described, which is suitable for various megapixel fusion-imaging applications, such as reducing surface reflections, highly accurate depth mapping, and condition robust surveillance.
Patent
Image processing method and apparatus, and program
TL;DR: In this paper, an image converter converts the resolution of the imaged frame supplied from the imaging unit or the image input unit into a resolution that can be represented by the output unit, generating an output frame having x×y pixels.
Proceedings ArticleDOI
Four-directional pixel-wise polarization CMOS image sensor using air-gap wire grid on 2.5-μm back-illuminated pixels
Tomohiro Yamazaki,Yasushi Maruyama,Yusuke Uesaka,Motoaki Nakamura,Yoshihisa Matoba,Takashi Terada,Kenta Komori,Yoshiyuki Ohba,Shinichi Arakawa,Yasutaka Hirasawa,Kondo Yuhi,Jun Murayama,Kentaro Akiyama,Yusuke Oike,Shuzo Sato,Takayuki Ezaki +15 more
TL;DR: In this article, a four-directional pixel-wise polarization CMOS image sensor using an air-gap wire grid on 2.5-μm back-illuminated pixels is presented.
Patent
Image processing device, image processing method, and imaging device
康孝 平澤,Yasutaka Hirasawa +1 more
TL;DR: In this article, a depth map generation unit (15) generates depth maps through a matching process using a first image generated by a first imaging unit which has a pixel configuration including pixels having different polarization directions.
Book ChapterDOI
Accurate Polarimetric BRDF for Real Polarization Scene Rendering.
TL;DR: A new polarimetric BRDF (pBRDF) model is proposed and its accuracy is proved by fitting the model to measured data with variety of light and camera conditions and experiments show that the CNN trained by the polarized images has more accuracy than one trained by RGB only.