公开(公告)号：US20160187863A1

公开(公告)日：2016-06-30

申请号：US14696049

申请日：2015-04-24

Applicant: INDUSTRIAL TECHNOLOGY RESEARCH INSTITUTE

Inventor： Chung-Li TAI ,  Yao-Yang TSAI ,  Jay HUANG ,  Ko-Shyang WANG ,  Chih-Kai CHIU

IPC: G05B17/02 ,  G06T7/00

CPC classification number: G05B19/401 ,  G05B2219/37015 ,  G05B2219/37563 ,  G06T7/85 ,  G06T2207/10012 ,  G06T2207/30164

Abstract: A calibration method applicable for an automation apparatus includes building a first stereoscopic characteristic model corresponding to an object, obtaining a stereoscopic image of the object, building a second stereoscopic characteristic model corresponding to the object based on the stereoscopic image, obtaining at least one error parameter corresponding to the second stereoscopic characteristic model by comparing the second stereoscopic characteristic model with the first stereoscopic characteristic model, and calibrating a processing parameter of the automation apparatus based on the at least one error parameter.

Abstract translation: 适用于自动化装置的校准方法包括：构建与对象对应的第一立体特征模型，获得对象的立体图像，基于立体图像构建与对象对应的第二立体特征模型，获得至少一个误差参数 对应于第二立体特征模型，通过将第二立体特征模型与第一立体特征模型进行比较，以及基于至少一个误差参数校准自动化装置的处理参数。

公开(公告)号：US20140192164A1

公开(公告)日：2014-07-10

申请号：US13735838

申请日：2013-01-07

Applicant: INDUSTRIAL TECHNOLOGY RESEARCH INSTITUTE

Inventor： Hian-Kun TENN ,  Yao-Yang TSAI ,  Ko-Shyang WANG ,  Po-Lung CHEN

IPC: H04N13/02

CPC classification number: H04N13/246 ,  H04N13/243 ,  H04N2013/0081

Abstract: A system and method for determining individualized depth information in an augmented reality scene are described. The method includes receiving a plurality of images of a physical area from a plurality of cameras, extracting a plurality of depth maps from the plurality of images, generating an integrated depth map from the plurality of depth maps, and determining individualized depth information corresponding to a point of view of the user based on the integrated depth map and a plurality of position parameters.

Abstract translation: 描述用于确定增强现实场景中的个体化深度信息的系统和方法。 该方法包括从多个摄像机接收物理区域的多个图像，从多个图像中提取多个深度图，从多个深度图生成积分深度图，以及确定与 基于集成深度图和多个位置参数的用户的观点。

公开(公告)号：US20200184720A1

公开(公告)日：2020-06-11

申请号：US16225931

申请日：2018-12-19

Applicant: INDUSTRIAL TECHNOLOGY RESEARCH INSTITUTE

Inventor： Yang-Lun LIU ,  Yu-Lin TSAI ,  Yao-Yang TSAI ,  Cheng-Chieh WU ,  Shuo-Peng LIANG

IPC: G06T17/10 ,  G06K9/62 ,  G06F17/50 ,  G06N3/08

Abstract: A machining parameter automatic generation system includes a geometric data capturing module, a feature recognition learning network and a machining parameter learning network. The geometric data capturing module captures a geometric shape of a workpiece to generate a candidate feature list. The feature recognition learning network trains the candidate feature list according to a first neural network model to obtain an applicable feature list. The machining parameter learning network trains the applicable feature list and the candidate machining parameter according to a second neural network model to obtain an applicable machining parameter. The applicable machining parameter is used to generate a machining program, and the machining program is read by a machine tool for processing.