Low power data generation for iris-related detection and authentication

    公开(公告)号:US10984235B2

    公开(公告)日:2021-04-20

    申请号:US15713561

    申请日:2017-09-22

    Abstract: Sensing of scene-based occurrences is disclosed. In one example, a vision sensor system comprises (1) dedicated computer vision (CV) computation hardware configured to receive sensor data from at least one sensor array and capable of computing CV features using readings from multiple neighboring sensor pixels and (2) a first processing unit communicatively coupled with the dedicated CV computation hardware. The vision sensor system is configured to, in response to processing of the one or more computed CV features indicating a presence of one or more irises in a scene captured by the at least one sensor array, generate data in support of iris-related operations to be performed by a second processing unit and send the generated data to the second processing unit.

    NEAR INFRARED GUIDED IMAGE DENOISING
    12.
    发明申请
    NEAR INFRARED GUIDED IMAGE DENOISING 有权
    近红外指导图像识别

    公开(公告)号:US20150125092A1

    公开(公告)日:2015-05-07

    申请号:US14151589

    申请日:2014-01-09

    Abstract: Systems and methods for multispectral imaging are disclosed. The multispectral imaging system can include a near infrared (NIR) imaging sensor and a visible imaging sensor. The disclosed systems and methods can be implemented to de-noise a visible light image using a gradient scale map generated from gradient vectors in the visible light image and a NIR image. The gradient scale map may be used to determine the amount of de-noising guidance applied from the NIR image to the visible light image on a pixel-by-pixel basis.

    Abstract translation: 公开了用于多光谱成像的系统和方法。 多光谱成像系统可以包括近红外(NIR)成像传感器和可见成像传感器。 可以实现所公开的系统和方法,以使用从可见光图像和NIR图像中的梯度向量生成的梯度刻度图来对可见光图像进行去噪。 可以使用梯度比例图来确定逐像素地从NIR图像施加到可见光图像的去噪引导量。

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