首页> 外国专利> METHOD FOR CLOSELY MOVING A ROBOT TO A USER, CAPABLE OF GRASPING A LOCATION DIRECTION OF THE USER BY DETECTING A FACE ON A SCREEN

METHOD FOR CLOSELY MOVING A ROBOT TO A USER, CAPABLE OF GRASPING A LOCATION DIRECTION OF THE USER BY DETECTING A FACE ON A SCREEN

机译:将机器人紧密移动到用户的方法,能够通过在屏幕上检测到人脸来抓住用户的位置方向

摘要

PURPOSE: A method for closely moving a robot to a user is provided to move the robot to a specific user closely by finding the specific user effectively.;CONSTITUTION: A face detector detects at least one face in a photographed image(325). A face cluster generator generates at least one face cluster by clustering the detected faces according to a face size(330). An approximate distance calculator obtains an average face area which is the average of faces included in a random face cluster among the generated face clusters(340). The approximate distance calculator obtains an approximate distance between the robot and the average face area using the size of the average face area(345). A movement controller moves the robot toward the average face area(350). The movement control part performs face recognition for each face included in the face cluster, and moves the robot toward the user if a specific user is found(365).;COPYRIGHT KIPO 2013;[Reference numerals] (310) Photograph an image at a certain angle; (315) Photographed at all angles?; (320) Rotate a robot; (325) Detect a face in each angle image; (330) Generate clusters by face size using the detected faces; (335) Select a face cluster; (340) Obtain an average face area; (345) Calculate the approximate distance and direction of the average face area; (350) Move the robot toward the average face area; (355) Perform facial recognition for each face included in the face clusters; (360) The wanted user is included?; (365) Approach to the found user; (AA) Start; (BB,DD) No; (CC,EE) Yes; (FF) End
机译:目的:提供一种用于将机器人紧密地移动到用户的方法,以通过有效地找到特定用户来将机器人紧密地移动到特定用户。组成:面部检测器检测拍摄图像中的至少一个面部(325)。脸部聚类生成器通过根据脸部尺寸对检测到的脸部进行聚类来生成至少一个脸部聚类(330)。近似距离计算器获得平均面部面积,该平均面部面积是所生成的面部群集当中的随机面部群集中包括的面部的平均值(340)。近似距离计算器使用平均面部区域的大小获得机器人与平均面部区域之间的近似距离(345)。运动控制器将机器人移向平均面部区域(350)。运动控制部对面部群中包括的每个面部执行面部识别,并且如果找到特定用户,则使机器人朝向用户移动(365)。; COPYRIGHT KIPO 2013; [附图标记](310)在一定角度(315)在各个角度拍摄? (320)旋转机器人; (325)在每个角度图像中检测面部; (330)使用检测到的脸部按脸部尺寸生成聚类; (335)选择一个脸部簇; (340)获得平均脸部面积; (345)计算平均脸部区域的近似距离和方向; (350)将机器人移向平均面部区域; (355)对包括在面部群中的每个面部进行面部识别; (360)包括想要的用户? (365)向找到的用户靠近; (AA)开始; (BB,DD)不; (CC,EE)是; (FF)结束

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