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    SPECULAR AND DIFFUSE IMAGE GENERATOR USING POLARIZED LIGHT FIELD CAMERA AND CONTROL METHOD THEREOF
    2.
    发明申请
    SPECULAR AND DIFFUSE IMAGE GENERATOR USING POLARIZED LIGHT FIELD CAMERA AND CONTROL METHOD THEREOF 有权
    使用偏光照相机的光和差分图像发生器及其控制方法

    公开(公告)号：US20150146082A1

    公开(公告)日：2015-05-28

    申请号：US14220574

    申请日：2014-03-20

    Applicant: Korea Institute of Science and Technology

    Inventor： Jae Won KIM ,  Ig Jae KIM ,  Sang Chul AHN

    IPC: H04N5/225 ,  G02B5/20 ,  G02B5/30 ,  G02B13/00

    CPC classification number: H04N5/2254 ,  G02B5/20 ,  G02B5/30 ,  G02B27/0075

    Abstract: An image generator is provided which obtains a specular image and a diffuse image from an image acquired by a polarized light field camera by separating two reflection components of a subject, and a control method thereof. The image generator may include a main lens, a polarizing filter part, a photosensor, a microlens array, and a controller that generates a single image in response to the electrical image signal and extracts, from the generated image, a specular image and a diffuse image that exhibit different reflection characteristics of the subject.

    Abstract translation: 提供一种图像发生器，其通过分离被摄体的两个反射分量从由偏振光场照相机获取的图像及其控制方法获得镜面图像和漫射图像。 图像生成器可以包括主透镜，偏振滤光器部分，光电传感器，微透镜阵列和响应于电图像信号生成单个图像的控制器，并从生成的图像中提取镜面图像和漫反射 呈现主体不同反射特征的图像。

    APPARATUS AND METHOD OF HAND GESTURE RECOGNITION BASED ON DEPTH IMAGE
    4.
    发明申请
    APPARATUS AND METHOD OF HAND GESTURE RECOGNITION BASED ON DEPTH IMAGE 审中-公开
    基于深度图像的手势识别的装置和方法

    公开(公告)号：US20170068849A1

    公开(公告)日：2017-03-09

    申请号：US15052063

    申请日：2016-02-24

    Applicant: KOREA INSTITUTE OF SCIENCE AND TECHNOLOGY

    Inventor： Hwasup LIM ,  Sungkuk CHUN ,  Sang Chul AHN

    IPC: G06K9/00 ,  G06K9/62 ,  G06T7/00

    CPC classification number: G06K9/6202 ,  G06K9/00389 ,  G06K9/6218 ,  G06T7/593 ,  G06T2207/10028 ,  G06T2207/30196

    Abstract: Disclosed is an apparatus for hand gesture recognition based on a depth image, which includes a depth image acquiring unit configured to acquire a depth image including a hand region, a depth point classifying unit configured to classify depth points of a hand region in the depth image according to a corresponding hand portion by means of a machine studying method, and a hand model matching unit configured to match a three-dimensional hand model with the classified depth points by using distances between the classified depth points and a hand portion respectively corresponding to the depth points. A recognition method using the apparatus is also disclosed.

    Abstract translation: 公开了一种基于深度图像的手势识别装置，其包括深度图像获取单元，其被配置为获取包括手区域的深度图像，深度点分类单元，被配置为对深度图像中的手区域的深度点进行分类 根据相应的手部分，通过机器学习方法，以及手模型匹配单元，其被配置为通过使用分类深度点之间的距离和分别对应于所述分类深度点的手部分之间的距离来将三维手模型与分类深度点相匹配 深度点。 还公开了使用该装置的识别方法。

    OBJECT/REGION DETECTION AND CLASSIFICATION SYSTEM WITH IMPROVED COMPUTER MEMORY EFFICIENCY
    5.
    发明申请
    OBJECT/REGION DETECTION AND CLASSIFICATION SYSTEM WITH IMPROVED COMPUTER MEMORY EFFICIENCY 有权

    公开(公告)号：US20220188557A1

    公开(公告)日：2022-06-16

    申请号：US17206849

    申请日：2021-03-19

    Applicant: KOREA INSTITUTE OF SCIENCE AND TECHNOLOGY

    Inventor： Sang Chul AHN ,  Junseok KANG

    IPC: G06K9/00 ,  G06K9/62 ,  G06K9/32

    Abstract: The present disclosure relates to an object detection and classification system with higher accuracy and resolution in a less computer memory environment. The system comprises an input value generation unit to receive an input image and generate an input value including feature information; a memory value generation unit to receive a reference image and generate a memory value including feature information; a memory management unit to select information having high importance from the memory values and store in a computer memory; an aggregated value generation unit to compute similarity between the input value and the memory value, calculate a weighted sum to generate an integrated value, and aggregate the integrated value and the input value; and an object detection unit to detect or classify the object from the input image using the aggregated value.

    METHOD OF ESTABLISHING DATABASE INCLUDING HAND SHAPE DEPTH IMAGES AND METHOD AND DEVICE OF RECOGNIZING HAND SHAPES
    7.
    发明申请
    METHOD OF ESTABLISHING DATABASE INCLUDING HAND SHAPE DEPTH IMAGES AND METHOD AND DEVICE OF RECOGNIZING HAND SHAPES 审中-公开
    建立包括手形深度图像的数据库的方法和识别手形的方法和装置

    公开(公告)号：US20140363088A1

    公开(公告)日：2014-12-11

    申请号：US14294195

    申请日：2014-06-03

    Applicant: KOREA INSTITUTE OF SCIENCE AND TECHNOLOGY

    Inventor： Young-woon CHA ,  Hwasup LIM ,  Sang Chul AHN ,  Hyoung Gon KIM

    IPC: G06F17/30 ,  G06K9/46 ,  G06K9/00

    CPC classification number: G06F16/5838 ,  G06K9/00355 ,  G06K9/00382 ,  G06K9/4642

    Abstract: A method of recognizing a hand shape by using a database including a plurality of hand shape depth images includes receiving a motion of a user, extracting a hand shape depth image of the user from the received motion, normalizing a size and depth values of the extracted hand shape depth image to conform to criteria of a size and depth values of the hand shape depth images stored in the database, and detecting from the database a hand shape depth image corresponding to the normalized hand shape depth image. It is possible to detect a hand shape depth image in a rapid and accurate way with the disclosed method.

    Abstract translation: 通过使用包括多个手形深度图像的数据库识别手形的方法包括接收用户的运动，从接收的运动中提取用户的手形深度图像，对所提取的手形深度图像的尺寸和深度值进行归一化 手形深度图像以符合存储在数据库中的手形深度图像的尺寸和深度值的标准，并且从数据库检测与标准化手形深度图像相对应的手形深度图像。 利用所公开的方法可以以快速且准确的方式检测手形深度图像。

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