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    Detecting embossed characters on form factor
    12.
    发明授权
    Detecting embossed characters on form factor 有权
    检测形状上的浮雕字符

    公开(公告)号：US08942420B2

    公开(公告)日：2015-01-27

    申请号：US13654748

    申请日：2012-10-18

    Applicant: QUALCOMM Incorporated

    Inventor： Duck Hoon Kim ,  Young-Ki Baik ,  Te-Won Lee

    IPC: G06K9/00

    CPC classification number: G06K9/72 ,  G06K2209/01 ,  G06Q20/24 ,  G06Q20/3276

    Abstract: A portable computing device reads information embossed on a form factor utilizing a built-in digital camera and determines dissimilarity between each pair of embossed characters to confirm consistency. Techniques comprise capturing an image of a form factor having information embossed thereupon, and detecting embossed characters. The detecting utilizes a gradient image and one or more edge images with a mask corresponding to the regions for which specific information is expected to be found on the form factor. The embossed form factor may be a credit card, and the captured image may comprise an account number and an expiration date embossed upon the credit card. Detecting embossed characters may comprise detecting the account number and the expiration date of the credit card, and/or the detecting may utilize a gradient image and one or more edge images with a mask corresponding to the regions for the account number and expiration date.

    Abstract translation: 便携式计算设备使用内置的数码相机读取在形状因子上压印的信息，并且确定每对压花字符之间的不相似性以确认一致性。 技术包括捕获具有在其上压印的信息的形状因子的图像，以及检测压花字符。 该检测利用梯度图像和一个或多个边缘图像，该边缘图像具有对应于预期在形状因子上找到特定信息的区域的掩模。 浮雕形状因子可以是信用卡，并且所捕获的图像可以包括在信用卡上压印的帐号和到期日期。 检测浮雕字符可以包括检测信用卡的帐号和有效期，和/或检测可以利用梯度图像和一个或多个具有对应于帐号和截止日期的区域的掩码的边缘图像。

    DETECTING EMBOSSED CHARACTERS ON FORM FACTOR
    13.
    发明申请
    DETECTING EMBOSSED CHARACTERS ON FORM FACTOR 有权
    检测形式因素上的突出特征

    公开(公告)号：US20140112526A1

    公开(公告)日：2014-04-24

    申请号：US13654748

    申请日：2012-10-18

    Applicant: QUALCOMM INCORPORATED

    Inventor： Duck Hoon Kim ,  Young-Ki Baik ,  Te-Won Lee

    IPC: G06K9/62

    CPC classification number: G06K9/72 ,  G06K2209/01 ,  G06Q20/24 ,  G06Q20/3276

    Abstract: A portable computing device reads information embossed on a form factor utilizing a built-in digital camera and determines dissimilarity between each pair of embossed characters to confirm consistency. Techniques comprise capturing an image of a form factor having information embossed thereupon, and detecting embossed characters. The detecting utilizes a gradient image and one or more edge images with a mask corresponding to the regions for which specific information is expected to be found on the form factor. The embossed form factor may be a credit card, and the captured image may comprise an account number and an expiration date embossed upon the credit card. Detecting embossed characters may comprise detecting the account number and the expiration date of the credit card, and/or the detecting may utilize a gradient image and one or more edge images with a mask corresponding to the regions for the account number and expiration date.

    Abstract translation: 便携式计算设备使用内置的数码相机读取在形状因子上压印的信息，并且确定每对压花字符之间的不相似性以确认一致性。 技术包括捕获具有在其上压印的信息的形状因子的图像，以及检测压花字符。 该检测利用梯度图像和一个或多个边缘图像，该边缘图像具有对应于预期在形状因子上找到特定信息的区域的掩模。 浮雕形状因子可以是信用卡，并且所捕获的图像可以包括在信用卡上压印的帐号和到期日期。 检测浮雕字符可以包括检测信用卡的帐号和有效期，和/或检测可以利用梯度图像和一个或多个具有对应于帐号和截止日期的区域的掩码的边缘图像。

    VEHICLE SHAPE AND POSE DETERMINATION FOR VEHICLE APPLICATIONS
    14.
    发明申请
    VEHICLE SHAPE AND POSE DETERMINATION FOR VEHICLE APPLICATIONS 有权

    公开(公告)号：US20240394914A1

    公开(公告)日：2024-11-28

    申请号：US18321616

    申请日：2023-05-22

    Applicant: QUALCOMM Incorporated

    Inventor： Jeong-Kyun Lee ,  Young-Ki Baik ,  Yongho Shin ,  Sueyeon Kim ,  Duck Hoon Kim

    IPC: G06T7/73 ,  G06T7/13 ,  G06T7/564

    Abstract: This disclosure provides systems, methods, and devices for vehicle driving assistance systems that support image processing. In a first aspect, a method includes receiving images of a vehicle and determining locations of key points of the vehicle within the keyframes. Pose estimations may then be determined based on the key point locations, and a three-dimensional contour of the vehicle may be determined based on the pose estimations. A model may then be trained based on the three-dimensional contour of the vehicle. Other aspects and features are also claimed and described.

    Hybrid lane estimation using both deep learning and computer vision
    16.
    发明授权
    Hybrid lane estimation using both deep learning and computer vision 有权

    公开(公告)号：US11544940B2

    公开(公告)日：2023-01-03

    申请号：US16733111

    申请日：2020-01-02

    Applicant: QUALCOMM Incorporated

    Inventor： Young-Ki Baik ,  Jeong-Kyun Lee ,  Seok-Soo Hong ,  Duck Hoon Kim

    IPC: B62D6/00 ,  G06V20/56 ,  B60R11/04 ,  G06F17/16 ,  G06N3/02

    Abstract: Disclosed are techniques for lane estimation. In aspects, a method includes receiving a plurality of camera frames captured by a camera sensor of a vehicle, assigning a first subset of the plurality of camera frames to a deep learning (DL) detector and a second subset of the plurality of camera frames to a computer vision (CV) detector based on availability of the DL and CV detectors, identifying a first set of lane boundary lines in a first camera frame processed by the DL detector, identifying a second set of lane boundary lines in a second camera frame processed by the CV detector, generating first and second sets of lane models based on the first and second sets of lane boundary lines, and updating a set of previously identified lane models based on the first set of lane models and/or the second set of lane models.

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