영상 기반의 손 검출 장치 및 그 방법
    11.
    发明公开
    영상 기반의 손 검출 장치 및 그 방법 有权
    基于图像手段检测的装置及其方法

    公开(公告)号:KR1020120035604A

    公开(公告)日:2012-04-16

    申请号:KR1020100097227

    申请日:2010-10-06

    CPC classification number: G06K9/00382

    Abstract: PURPOSE: An image based hand detecting apparatus and method thereof are provided to accurately detect a hand in the dark by creating a comparing result. CONSTITUTION: A hand image detecting unit(50) detects the hand image of a hand shape from an input image. A feature point extraction unit(60) extracts a feature point from the detected hand shape. An image rotation unit(70) rotates the detected hand shape or the stored hand images. A matching unit(80) compares the detected hand image with the stored hand image. When a hand image matched with the detected hand image is existed, a hand shape recognition unit(90) selects the hand image as the matched hand image.

    Abstract translation: 目的:提供一种基于图像的手检测装置及其方法,通过创建比较结果来准确地检测黑暗中的手。 构成:手图像检测单元(50)从输入图像检测手形图像。 特征点提取单元(60)从检测到的手形中提取特征点。 图像旋转单元(70)旋转检测到的手形或存储的手图像。 匹配单元(80)将检测到的手图像与存储的手图像进行比较。 当与检测到的手图像匹配的手图像存在时,手形识别单元(90)选择手图像作为匹配的手图像。

    스테레오 매칭 방법 및 이를 수행하는 장치
    13.
    发明公开
    스테레오 매칭 방법 및 이를 수행하는 장치 审中-实审
    立体匹配方法及其方法的设计

    公开(公告)号:KR1020160015662A

    公开(公告)日:2016-02-15

    申请号:KR1020140098192

    申请日:2014-07-31

    Abstract: 물체에대한해상도및 정밀도를향상시킬수 있는스테레오매칭방법및 이를수행하는장치가개시된다. 미리설정된주기에따라패턴을조사하는단계와, 조사된패턴을포함하거나포함하지않은좌우측스테레오영상을획득하는단계와, 미리설정된주기에상응하여상기획득한스테레오영상및 스테레오영상의이전프레임영상인버퍼링영상각각이패턴을포함하고있는지여부를판단하는단계및 스테레오영상및 버퍼링영상각각이패턴을포함하고있는지여부에따라각각다른영상처리를수행하여최종코스트볼륨을생성하는단계를포함한다. 따라서, 얇은물체에대한시차의정밀도를높일수 있으며, 먼거리에있는물체에대한정확도및 정밀도를향상시킬수 있다.

    Abstract translation: 公开了能够提高物体的分辨率和精度的立体匹配方法及其执行装置。 该方法包括以下步骤:根据预设期间调查图案; 获得其中包括或不包括调查图案的右和左立体图像; 确定根据预设时段获得的每个立体图像和作为立体图像的先前帧图像的缓冲图像是否包括图案; 以及根据所述立体图像和所述缓冲图像中的每一个是否包括所述图案,通过执行不同的图像处理来生成最终成本量。 因此,可以提高薄物体的视差的精度并提高物体在远距离处的精度和精度。

    능동 스테레오 매칭 방법 및 그 장치
    14.
    发明公开
    능동 스테레오 매칭 방법 및 그 장치 审中-实审
    用于主动立体匹配的方法和装置

    公开(公告)号:KR1020140099098A

    公开(公告)日:2014-08-11

    申请号:KR1020130011923

    申请日:2013-02-01

    CPC classification number: G06T7/0075 G06T7/593

    Abstract: A method for matching an active stereo of the present invention comprises the steps of: extracting a pattern from a stereo image containing the pattern; generating depth information via stereo matching by using the extracted pattern; calculating a total cost for a sight difference by using Windows kernel generated by using the extracted pattern and cost volume generated for the stereo image; and generating sight difference information by using the calculated depth information and the total cost.

    Abstract translation: 一种用于匹配本发明的主动立体声的方法包括以下步骤:从包含图案的立体图像中提取图案; 通过使用提取的图案通过立体匹配产生深度信息; 通过使用通过使用为立体声图像生成的提取的图案和成本音量生成的Windows内核来计算视差的总成本; 以及通过使用所计算的深度信息和总成本来生成视差信息。

    상체자세 및 손모양 검출 장치 및 그 방법
    15.
    发明授权
    상체자세 및 손모양 검출 장치 및 그 방법 有权
    用于检测上身姿势和手形的装置和方法

    公开(公告)号:KR101158016B1

    公开(公告)日:2012-06-25

    申请号:KR1020090064638

    申请日:2009-07-15

    Abstract: PURPOSE: An apparatus and a method for detecting an upper body pose and a hand shape are provided to grasp peripheral environments in 3 dimension when using at least two cameras. CONSTITUTION: A stereo vision computing unit(300) calculates three dimensional distance information from the image provided form at least two cameras(101-103), and a color pattern classification unit(400) outputs the color information and the pattern information by classifying the color and the pattern from the images. Plural location detecting units(610-650) extract 3D location information for each target, and an upper body pose recognition unit(710) recognizes an upper body by using the 3D location information for each target. A hand shape recognition unit(720) recognizes the shape of a hand by using the hand location information.

    얼굴 검출기와 피부색 검출기를 상호 피드백 결합한 얼굴 검출 장치 및 방법
    16.
    发明公开
    얼굴 검출기와 피부색 검출기를 상호 피드백 결합한 얼굴 검출 장치 및 방법 无效
    面部检测装置和方法与面部检测和皮肤颜色提取相结合的反馈

    公开(公告)号:KR1020110006107A

    公开(公告)日:2011-01-20

    申请号:KR1020090063592

    申请日:2009-07-13

    Abstract: PURPOSE: A face detection apparatus and a feedback method combined with face detection and skin color extraction are provided to minimize the face detection target region by extracting face existence enable region from a current frame. CONSTITUTION: An extraction unit(200) extracts a face existence enable region from a current frame based on face skin color information detected from the previous frame. A face detection unit(300) detects the actual face region based on face shape information of extracted face existence enable region. A skin color detection unit(400) detects the face skin color information from the detected actual face range.

    Abstract translation: 目的:提供一种与脸部检测和皮肤颜色提取结合的面部检测装置和反馈方法,以通过从当前帧提取面部存在使能区域来最小化面部检测目标区域。 构成:提取单元(200)基于从前一帧检测到的面部肤色信息从当前帧中提取脸部存在使能区域。 面部检测部(300)根据所提取的面部存在使能区域的面部形状信息来检测实际面部区域。 皮肤颜色检测单元(400)根据检测到的实际面部范围检测面部肤色信息。

    상체자세 및 손모양 검출 장치 및 그 방법
    17.
    发明公开
    상체자세 및 손모양 검출 장치 및 그 방법 有权
    用于检测身体位置和手形的装置和方法

    公开(公告)号:KR1020100075356A

    公开(公告)日:2010-07-02

    申请号:KR1020090064638

    申请日:2009-07-15

    Abstract: PURPOSE: An apparatus and a method for detecting an upper body pose and a hand shape are provided to grasp peripheral environments in 3 dimension when using at least two cameras. CONSTITUTION: A stereo vision computing unit(300) calculates three dimensional distance information from the image provided form at least two cameras(101-103), and a color pattern classification unit(400) outputs the color information and the pattern information by classifying the color and the pattern from the images. Plural location detecting units(610-650) extract 3D location information for each target, and an upper body pose recognition unit(710) recognizes an upper body by using the 3D location information for each target. A hand shape recognition unit(720) recognizes the shape of a hand by using the hand location information.

    Abstract translation: 目的:提供用于检测上身姿势和手形的装置和方法,以在使用至少两个照相机时抓住三维的周边环境。 构成:立体视觉计算单元(300)从至少两个照相机(101-103)提供的图像计算三维距离信息,并且彩色图案分类单元(400)通过将颜色信息和图案信息分类 颜色和图案的图案。 多个位置检测单元(610-650)提取每个目标的3D位置信息,并且上身姿势识别单元(710)通过使用每个目标的3D位置信息识别上身体。 手形识别单元(720)通过使用手位置信息识别手的形状。

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