148 research outputs found

    A CMOS image sensor with pseudorandom pixel placement for clear imaging

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    金沢大学理工研究域電子情報学系The picture element (pixel) in conventional image sensors, such as CCD or CMOS imager, are placed in the form of a lattice for ease of implementation. Lattice placement of pixels intrinsically has directional dependency on the clarity of image representation; in other words, the image clarity is significantly dependent on the directions of the objects in the image, such as lines. For example, horizontal lines are perfectly represented by lattice pixels, while slanted lines have jagged edges. In this paper, we propose a pseudorandom pixel placement architecture for clear imaging with solving the directional dependency problems. We also discuss our evaluation of its characteristics based on the designed layout of CMOS image sensor with pseudorandom pixel placement, as well as its implementation. ©2009 IEEE

    Poster: Power spectrum analysis of reflected waves with ultrasonic sensors indicates "what the target is"

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    We consider that ultrasonic waves can be used not only for measuring the distance to a target but also for comprehending what the target is simultaneously. We assumed that the physical characteristics of a target object (especially, surface information) are embedded in the power spectrum structure of the ultrasonic waves reflected from the target. The results of our investigation to analyze the characteristics of the power spectrum structure of waves reflected from various kinds of target materials showed whether target objects are soft and deformable or hard and undeformable

    不規則画素配置をもつ撮像表示素子の検討

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    金沢大学大学院自然科学研究科情報システム金沢大学工学

    急速眼球運動対応の視線検出機能を持つVision Chipの試作と評価

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    金沢大学大学院自然科学研究科情報システ

    Properties of “Planar Binary (Butchi Number)”

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    金沢大学理工研究域電子情報学

    RoboCup for science and engineering education: a case of the future University - Hakodate

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    金沢大学大学院自然科学研究科情報システム金沢大学工学部A newly starting university in Japan, FUnHakodate, is described. The concepts of FUnHakodate is to gather the various areas concerned with the computers, and one of the most important themes is learning through projects. One such project concerns the development of RoboCup

    Fast square-area detection algorithm using automata for VLSI implementation

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    金沢大学大学院自然科学研究科情報システム金沢大学工学部Conventional image sensors, including CCD sensors and smart sensors are considered for just acquiring the image as the matrix of dots, not for recognizing the meaning of image. In this paper, we propose a novel real-time algorithm to detect the square area in an object using the structure of node automata, and discuss its implementation as a CMOS image sensor, where the pixels and the node automata are integrated in one chip. We also discuss the search algorithm of their position in the pixel plain using area dividing methodology
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