ON-BOARD CONTROL DEVICE
    2.
    发明授权

    公开(公告)号:EP2928178B1

    公开(公告)日:2018-10-31

    申请号:EP13858517.9

    申请日:2013-11-21

    申请人: Clarion Co., Ltd.

    摘要: An on-vehicle control device includes: an image acquiring unit that acquires a captured image from an image-capturing device, the image-capturing device capturing an image of surroundings of a vehicle; a judged range dividing unit that divides a predetermined judged range of an image-capturing range of the image-capturing device into a plurality of regions; a feature point extracting unit that extracts a feature point having predetermined characteristics in the surroundings of the vehicle from the image acquired by the image acquiring unit; a point accumulating unit that accumulate points for a region where there is the feature point extracted by the feature point extracting unit, among the plurality of regions, for a plurality of images acquired by the image acquiring unit in time series; and a judging unit that judges whether a foreign matter is adhered to the image-capturing device based on scores resulting from accumulating points of the plurality of regions.

    SPOOFED FACE DETECTION
    4.
    发明公开

    公开(公告)号:EP3369036A1

    公开(公告)日:2018-09-05

    申请号:EP15906983.0

    申请日:2015-10-30

    IPC分类号: G06K9/00

    摘要: Examples are disclosed herein that relate to detecting spoofed human faces. One example provides a computing device comprising a processor configured to compute a first feature distance between registered image data of a human face in a first spectral region and test image data of the human face in the first spectral region, compute a second feature distance between the registered image data and test image data of the human face in a second spectral region, compute a test feature distance between the test image data in the first spectral region and the test image data in the second spectral region, determine, based on a predetermined relationship, whether the human face to which the test image data in the first and second spectral regions corresponds is a real human face or a spoofed human face, and modify a behavior of the computing device.

    CLASSIFYING AMBIGUOUS IMAGE DATA
    6.
    发明公开

    公开(公告)号:EP3286689A1

    公开(公告)日:2018-02-28

    申请号:EP16716430

    申请日:2016-04-06

    IPC分类号: G06K9/00

    摘要: Examples are disclosed herein that relate to classifying ambiguous data in an image. One example provides, on a computing device, a method of processing image data, the method comprising defining a contiguous area of ambiguous data in an image, determining a border surrounding the contiguous area, classifying the contiguous area as dark or far based on a characteristic of one or more pixels of the border, and for the classified contiguous area, processing one or more pixels of the contiguous area differently if the contiguous area is classified as far than if the contiguous area is classified as dark.

    FINGERPRINT UNLOCKING METHOD AND TERMINAL
    8.
    发明公开
    FINGERPRINT UNLOCKING METHOD AND TERMINAL 审中-公开
    指纹解锁方法和终端

    公开(公告)号:EP3249578A1

    公开(公告)日:2017-11-29

    申请号:EP17169799.8

    申请日:2017-05-05

    IPC分类号: G06K9/00 G06F21/32

    摘要: A fingerprint unlocking method may include receiving a first fingerprint image. The number of target feature points of the first fingerprint image is determined. A target adjustment parameter corresponding to the number of target feature points is acquired according to a preset mapping relation between the number of feature points and adjustment parameters. A second fingerprint image is received according to the target adjustment parameter. A terminal is unlocked when the second fingerprint image matches with a preset fingerprint template. A terminal is also provided.

    摘要翻译: 指纹解锁方法可以包括接收第一指纹图像。 确定第一指纹图像的目标特征点的数量。 根据预设的特征点个数与调整参数的映射关系,获取目标特征点个数对应的目标调整参数。 根据目标调整参数接收第二指纹图像。 当第二指纹图像与预设的指纹模板匹配时,终端被解锁。 还提供了一个终端。

    HARDWARE ACCELERATOR FOR HISTOGRAM OF GRADIENTS
    9.
    发明公开
    HARDWARE ACCELERATOR FOR HISTOGRAM OF GRADIENTS 审中-公开
    用于梯度直方图的硬件加速器

    公开(公告)号:EP3243164A2

    公开(公告)日:2017-11-15

    申请号:EP16766079.4

    申请日:2016-01-06

    IPC分类号: G06K9/46 G06K9/00

    摘要: One of the challenges in bringing computational imaging to a mass market is that computational imaging is inherently computationally expensive. The computational challenges associated with computational imaging are apparent with the computation of a histogram of gradient descriptors. Oftentimes, generating a histogram of gradient descriptors involves computing gradients of an image, binning the gradients according to their orientation, and, optionally, normalizing the bins using a non-linear function. Because each of these operations is expensive, the histogram of gradient descriptor computations is generally computationally expensive and is difficult to implement in a power efficient manner for mobile applications. The present application discloses a computing device that can provide a low-power, highly capable computing platform for computing a histogram of gradient descriptors.

    FAST OBJECT DETECTION METHOD BASED ON DEFORMABLE PART MODEL (DPM)

    公开(公告)号:EP3183691A4

    公开(公告)日:2017-11-08

    申请号:EP15833530

    申请日:2015-07-28

    IPC分类号: G06K9/66

    摘要: A fast object detection method based on deformable part model (DPM) is provided. The method includes importing a trained classifier for object detection, receiving an image frame from a plurality of frames in a video captured by a camera, and identifying regions possibly containing at least one object via objectness measure based on Binarized Normed Gradients (BING). The method also includes calculating Histogram of Oriented Gradients (HOG) feature pyramid of the image frame, performing DPM detection for the identified regions possibly containing the at least one object, and labeling the at least one detected object using at least one rectangle box via non-maximum suppression (NMS). Further, the method includes processing a next frame from the plurality of frames in the captured video until the video ends and outputting object detection results.