公开(公告)号：US20180144530A1

公开(公告)日：2018-05-24

申请号：US15467269

申请日：2017-03-23

Applicant: KOREA INSTITUTE OF SCIENCE AND TECHNOLOGY

Inventor： Hwasup LIM ,  Youngmin KIM ,  Jae-In HWANG ,  Sang Chul AHN

IPC: G06T13/40 ,  G06F3/01 ,  G06T7/73 ,  G06T7/246 ,  G06T7/143

Abstract: Facial expressions and whole-body gestures of a 3D character are provided based on facial expressions of a user and gestures of a hand puppet perceived using a depth camera.

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。

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。