NON-VISIBLE ILLUMINATION SCHEME
    1.
    发明申请
    NON-VISIBLE ILLUMINATION SCHEME 有权
    不可见的照明方案

    公开(公告)号:US20160360124A1

    公开(公告)日:2016-12-08

    申请号:US14729585

    申请日:2015-06-03

    Abstract: Embodiments of an apparatus and process are described. The process includes capturing a first image frame using an image sensor, the image sensor including a pixel array comprising a plurality of pixels arranged in rows and columns and a color filter array optically coupled to the pixel array. A region of interest within the first image frame is determined, and the exposure time of the image sensor is adjusted to eliminate a substantial fraction of the visible light captured by the image sensor. A rolling shutter procedure is used with the pixel array to capture at least one subsequent frame using the adjusted exposure time, and a source of invisible radiation is activated while the rolling shutter enters the region of interest and deactivated when the rolling shutter exits the region of interest. Finally, an image of the region of interest is output. Other embodiments are disclosed and claimed.

    Abstract translation: 描述了装置和过程的实施例。 该过程包括使用图像传感器捕获第一图像帧,图像传感器包括包括以行和列排列的多个像素的像素阵列和与像素阵列光耦合的滤色器阵列。 确定第一图像帧内的感兴趣区域,并且调整图像传感器的曝光时间以消除由图像传感器捕获的可见光的大部分。 使用滚动快门程序与像素阵列捕获至少一个随后的帧,使用调整的曝光时间,并且不可见的辐射源被激活,同时滚动快门进入感兴趣的区域并且当滚动快门离开 利益。 最后,输出感兴趣区域的图像。 公开和要求保护其他实施例。

    ROBUST ANALYSIS FOR DEFORMABLE OBJECT CLASSIFICATION AND RECOGNITION BY IMAGE SENSORS
    4.
    发明申请
    ROBUST ANALYSIS FOR DEFORMABLE OBJECT CLASSIFICATION AND RECOGNITION BY IMAGE SENSORS 审中-公开
    图像传感器可变对象分类和识别的鲁棒分析

    公开(公告)号:US20150023601A1

    公开(公告)日:2015-01-22

    申请号:US13946299

    申请日:2013-07-19

    Inventor: Ming-Kai Hsu

    CPC classification number: G06K9/6202 G06K9/4661 G06K9/6201

    Abstract: A method and a system of identifying deformable objects in digital images using processing circuitry are disclosed. The method includes partitioning, using the processing circuitry, a composite image into M composite blocks. An input image is partitioned into M input blocks. Each input block is paired with a corresponding composite block. Image properties of each composite block and each input block are analyzed. The image properties of each input block are compared with its corresponding composite block. A structural similarity value for each pair of input and composite blocks is generated in response to comparing the image properties. An aggregate structural similarity value is determined based on the structural similarity values. A deformable object category of the input image is identified based on the aggregate structural similarity value.

    Abstract translation: 公开了使用处理电路识别数字图像中的可变形对象的方法和系统。 该方法包括使用处理电路将合成图像分割成M个复合块。 输入图像被分割成M个输入块。 每个输入块与相应的复合块配对。 分析每个复合块和每个输入块的图像属性。 将每个输入块的图像属性与其对应的复合块进行比较。 响应于图像属性的比较,生成每对输入和复合块的结构相似度值。 基于结构相似度值确定聚合结构相似性值。 基于聚合结构相似度值来识别输入图像的可变形对象类别。

    Non-visible illumination scheme
    5.
    发明授权

    公开(公告)号:US09674465B2

    公开(公告)日:2017-06-06

    申请号:US14729585

    申请日:2015-06-03

    Abstract: Embodiments of an apparatus and process are described. The process includes capturing a first image frame using an image sensor, the image sensor including a pixel array comprising a plurality of pixels arranged in rows and columns and a color filter array optically coupled to the pixel array. A region of interest within the first image frame is determined, and the exposure time of the image sensor is adjusted to eliminate a substantial fraction of the visible light captured by the image sensor. A rolling shutter procedure is used with the pixel array to capture at least one subsequent frame using the adjusted exposure time, and a source of invisible radiation is activated while the rolling shutter enters the region of interest and deactivated when the rolling shutter exits the region of interest. Finally, an image of the region of interest is output. Other embodiments are disclosed and claimed.

    Imaging Systems With Single-Photon-Avalanche-Diodes And Sensor Translation, And Associated Methods
    6.
    发明申请
    Imaging Systems With Single-Photon-Avalanche-Diodes And Sensor Translation, And Associated Methods 有权
    具有单光子 - 雪崩二极管和传感器翻译的成像系统及相关方法

    公开(公告)号:US20160373676A1

    公开(公告)日:2016-12-22

    申请号:US14745954

    申请日:2015-06-22

    Abstract: An imaging system with single-photon-avalanche-diodes (SPADs) and sensor translation for capturing a plurality of first images to enable generation of an enhanced-resolution image includes (a) an image sensor with SPAD pixels for capturing the plurality of first images at a plurality of spatially shifted positions of the image sensor, respectively, and (b) an actuator for translating the image sensor, parallel to its light receiving surface, to place the image sensor at the plurality of spatially shifted positions. A method for capturing a plurality of first images that enable composition of an enhanced-resolution image includes (a) translating an image sensor parallel to its light receiving surface to place the image sensor at a plurality of spatially shifted positions, and (b) capturing, using SPAD pixels implemented in pixel array of the image sensor, the plurality of first images at the plurality of spatially shifted positions, respectively.

    Abstract translation: 具有单光子雪崩二极管(SPAD)的成像系统和用于捕获多个第一图像以实现增强分辨率图像的生成的传感器转换包括(a)具有用于捕获多个第一图像的SPAD像素的图像传感器 分别在图像传感器的多个空间位移处,和(b)用于平行于其光接收表面平移图像传感器的致动器,以将图像传感器放置在多个空间位移位置。 一种用于捕获能够构成增强分辨率图像的多个第一图像的方法,包括:(a)平行于其光接收表面平移图像传感器,以将图像传感器放置在多个空间位移位置,以及(b)捕获 使用在图像传感器的像素阵列中实现的SPAD像素,分别在多个空间位移处的多个第一图像。

    FEATURE DETECTION IN IMAGE CAPTURE
    7.
    发明申请
    FEATURE DETECTION IN IMAGE CAPTURE 有权
    图像捕获中的特征检测

    公开(公告)号:US20160044237A1

    公开(公告)日:2016-02-11

    申请号:US14452377

    申请日:2014-08-05

    Inventor: Ming-Kai Hsu

    Abstract: A feature detection process includes identifying an approximate location of a feature in a preliminary image. A gradient phase map of image pixel intensities within the approximate location is computed. A projection result is determined by applying a projection function to the gradient phase map. The projection result is analyzed to determine a state of the feature.

    Abstract translation: 特征检测处理包括识别初步图像中的特征的近似位置。 计算近似位置内图像像素强度的梯度相位图。 通过将投影函数应用于梯度相位图来确定投影结果。 分析投影结果以确定特征的状态。

Patent Agency Ranking