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公开(公告)号：KR101401809B1
公开(公告)日：2014-05-29
申请号：KR1020120128193
申请日：2012-11-13
Applicant: 재단법인대구경북과학기술원
Abstract: 스크린에서의 다중사용자 인터페이스 제공 장치 및 방법이 개시된다. 스크린과 이격하여 사용자 위치 범위를 설정하는 범위 설정부 및 상기 사용자 위치 범위의 적어도 일부를 시야 범위로 갖는 카메라를, 상기 스크린과 연관하여 복수 개 장착하되, 상기 사용자 위치 범위 내 임의 지점이 두 종류 이하의 시야 범위에 포함되게 상기 카메라의 장착 위치를 조정하는 스크린 제어부를 포함한다.
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公开(公告)号：KR1020140061164A
公开(公告)日：2014-05-21
申请号：KR1020120128410
申请日：2012-11-13
Applicant: 재단법인대구경북과학기술원
CPC classification number: G06T7/50 , G06K9/00389 , G06T2210/12
Abstract: A device and a method for detecting a hand using a depth image are provided. A device for detecting a hand using a depth image includes a detection unit which receives an photographed image of a hand by a camera and detecting a hand area for the hand from the inputted image based on the distance between the hand and the camera; and a processor for estimating a two-dimensional first hand shape and a three-dimensional second hand shape from the hand area, and finally estimating a final hand shape of the hand by using the estimated first and second hand shapes.
Abstract translation: 提供了一种使用深度图像检测手的装置和方法。 用于使用深度图像检测手的装置包括：检测单元，其通过相机接收手的拍摄图像，并且基于手和相机之间的距离从所输入的图像中检测手的手区域; 以及用于从手区域估计二维第一手形状和三维秒针形状的处理器，并且最终通过使用估计的第一和第二手形状来估计手的最终手形。
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公开(公告)号：KR1020140037464A
公开(公告)日：2014-03-27
申请号：KR1020120103599
申请日：2012-09-18
Applicant: 재단법인대구경북과학기술원
CPC classification number: G06F3/011 , G06F3/012 , G06F3/013 , G06F3/017 , G06F3/0304 , G06F3/0346 , G06F3/042 , G06T7/20
Abstract: The present invention relates to a user interface apparatus and a user interface method. The present invention provides a configuration including a detection unit for detecting at least one of a face direction and an eye direction of a user located at the front of a camera, a first area specifying unit for specifying a portion of a whole area of a screen to be manipulated by a user based on a direction information of the detection unit, a second area specifying unit for tracking the location of a hand input through the camera, estimating an area, in which the motion of the user is possible, from the whole area of a camera image, and specifying the area as a camera area, a location specifying unit for mapping the motion of the hand displayed in the screen area and the motion of the hand displayed in the camera area based on a moving distance information or a moving speed information, so that an icon is located at a target coordinate on the screen, and a recognition unit for recognizing the shape of the hand of the user input through the camera, and an executing unit for performing a command corresponding to the recognized shape of the hand in the part indicated by the icon. As described above, according to the present invention, even if the difference is made in resolution between the camera and the screen, the user can exactly move the icon to the location required by the user on the screen. [Reference numerals] (302) Face direction recognizing unit; (304) Eye direction recognizing unit; (310) Screen area specifying unit; (320) Camera area specifying unit; (330) Location specifying unit; (340) Recognition unit; (350) Executing unit; (360) Storage unit; (AA) Screen size/resolution; (BB) Camera resolution; (CC) Distance between camera and user; (DD) Hand movement distance informationi; (EE) Hand movement speed information
Abstract translation: 本发明涉及用户界面装置和用户界面方法。 本发明提供了一种配置，其包括用于检测位于相机前部的用户的脸部方向和眼睛方向中的至少一个的检测单元，用于指定屏幕的整个区域的一部分的第一区域指定单元 由用户基于检测单元的方向信息来操作;第二区域指定单元，用于跟踪通过照相机的手输入的位置，估计可能的用户的运动的区域 相机图像的区域，以及将该区域指定为相机区域，基于移动距离信息或位置指定单元，用于映射在屏幕区域中显示的手的运动和显示在相机区域中的手的运动的位置指定单元 移动速度信息，使得图标位于屏幕上的目标坐标上，以及识别单元，用于识别通过照相机输入的用户的手的形状，以及用于每个的执行单元 在由图标指示的部分中形成与所识别的手的形状相对应的命令。 如上所述，根据本发明，即使在相机和屏幕之间的分辨率上存在差异，用户可以将图标精确地移动到屏幕上用户所需的位置。 （附图标记）（302）面部方向识别单元; （304）眼睛识别单元; （310）屏幕区域指定单元; （320）相机区域指定单元; （330）位置指定单元; （340）识别单位; （350）执行单位; （360）存储单元; （AA）屏幕尺寸/分辨率; （BB）相机分辨率; （CC）相机与用户之间的距离; （DD）手动距离信息; （EE）手动速度信息
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公开(公告)号：KR101306576B1
公开(公告)日：2013-09-26
申请号：KR1020120127561
申请日：2012-11-12
Applicant: 재단법인대구경북과학기술원
CPC classification number: G06K9/00228 , G06K9/00281 , G06K9/6274 , G06T7/11
Abstract: PURPOSE: A face recognition system robust to changes in lighting based on differential components is provided to recognize the face based on D2D-PCA considering differential components, thereby recognizing exactly the face regardless of a change of lighting. CONSTITUTION: A face recognition system divides a face image obtained from a camera into right and left images (120). The system obtains a left image characteristic matrix by using differential two-dimensional principal component analysis (D2D-PCA) considering differential components based on the left image (130). The system calculates a left image distance value showing a distance value of the left image characteristic matrix based on the left image characteristic matrix (140). The system obtains a right image characteristic matrix by using D2D-PCA considering differential components based on the right image (150). The system calculates a right image distance value showing a distance value of the right image characteristic matrix based on the right image characteristic matrix (160). The system recognizes the face based on an integrated value combining the right and left image distance values (180). [Reference numerals] (110) Obtain a face image; (120) Divide the face image into right and left images; (130) Obtain s a left image characteristic matrix by using a two-dimensional principal component analysis based on the left image considering differential components; (140) Calculate a left image distance value; (150) Obtain a right image characteristic matrix by using a two-dimensional principal component analysis based on the left image considering differential components; (160) Calculate a right image distance value; (170) Calculate an integration value; (180) Perform face recognition; (AA) Start; (BB) End
Abstract translation: 目的：提供基于差分组件对照明变化稳健的人脸识别系统，以识别基于D2D-PCA的面部差分组件，从而可以准确地识别面部，而不管照明的变化如何。 构成：脸部识别系统将从相机获得的脸部图像分成左右图像（120）。 该系统通过使用基于左图像的差分分量（130），通过使用微分二维主分量分析（D2D-PCA）来获得左图像特征矩阵。 系统基于左图像特征矩阵（140）计算表示左图像特征矩阵的距离值的左图像距离值。 系统通过使用基于正确图像的差分分量的D2D-PCA获得右图像特征矩阵（150）。 该系统基于右图像特征矩阵计算表示右图像特征矩阵的距离值的右图像距离值（160）。 系统基于组合右图像距离值和左图像距离值的积分值来识别面部（180）。 （附图标记）（110）获取脸部图像; （120）将脸部图像分为左右图像; （130）通过使用考虑到差分分量的基于左图像的二维主分量分析获得左图像特征矩阵; （140）计算左图像距离值; （150）通过使用考虑到差分分量的基于左图像的二维主分量分析来获得右图像特征矩阵; （160）计算右图像距离值; （170）计算积分值; （180）执行面部识别; （AA）开始; （BB）结束
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