MULTIPLIERLESS COPROCESSOR FOR DIFFERENCE OF GAUSSIAN (DOG) CALCULATION
    1.
    发明申请
    MULTIPLIERLESS COPROCESSOR FOR DIFFERENCE OF GAUSSIAN (DOG) CALCULATION 有权
    用于差分计算(DOG)计算的多用户协同处理器

    公开(公告)号:US20130301950A1

    公开(公告)日:2013-11-14

    申请号:US13869665

    申请日:2013-04-24

    CPC classification number: G06T5/50 G06T1/20 G06T5/003

    Abstract: A hardware architecture is applied to the calculation of a Difference-of-Gaussian filter, which is typically employed in image processing algorithms. The architecture has a modular structure to easily allow the matching of the desired delay/area ratio as well as a high computational accuracy. A new solution is provided for the implementation of multiply-accumulators which allows a significant reduction of area with respect to the conventional architectures.

    Abstract translation: 硬件架构被应用于高斯差分滤波器的计算,该滤波器通常用于图像处理算法中。 该架构具有模块化结构,可以容易地匹配所需的延迟/面积比以及高计算精度。 为实现多重累加器提供了一种新的解决方案,其允许相对于常规架构的面积显着减小。

    HARDWARE COPROCESSOR FOR STRIPE-BASED INTEREST POINT DETECTION
    2.
    发明申请
    HARDWARE COPROCESSOR FOR STRIPE-BASED INTEREST POINT DETECTION 有权
    用于基于条纹的兴趣点检测的硬件共存器

    公开(公告)号:US20130301930A1

    公开(公告)日:2013-11-14

    申请号:US13869609

    申请日:2013-04-24

    CPC classification number: G06K9/6217 G06K9/00973 G06K9/4671 G06K9/6857

    Abstract: A hardware coprocessor architecture calculates the Difference-of-Gaussian (DoG) pyramid of an input image and extracts from this the interest points to be used in several image detection algorithms. Advantages of the architecture include the possibility to process the image by stripes, namely by blocks having one dimension coincident with the input image width, in the absence of an input frame buffer and the possibility to avoid RAM memory. The coprocessor is suitable to be tightly coupled with raw image sources like sensors.

    Abstract translation: 硬件协处理器架构计算输入图像的高斯差(DoG)金字塔,并从中提取要在几个图像检测算法中使用的兴趣点。 该架构的优点包括在不存在输入帧缓冲器的情况下通过条纹即具有与输入图像宽度一致的尺寸的块来处理图像的可能性以及避免RAM存储器的可能性。 协处理器适合与传感器等原始图像源紧密耦合。

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