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1. 发明授权

US09747680B2 Inspection apparatus, method, and computer program product for machine vision inspection 有权
公开(公告)号：US09747680B2
公开(公告)日：2017-08-29
申请号：US14092146
申请日：2013-11-27
申请人： INDUSTRIAL TECHNOLOGY RESEARCH INSTITUTE
发明人： Chung-Li Tai , Chih-Kai Chiu , Yao-Yang Tsai
IPC分类号： G06K9/00 , G06T7/00 , G06T19/20
CPC分类号： G06T7/001 , G06T19/20 , G06T2207/10024 , G06T2207/10028 , G06T2207/30164 , G06T2219/2012
摘要： A method for vision machine inspection comprises providing depth information of a target acquired by an image capturing system, determining real-time three-dimensional information of a target object in a predetermined inspecting area based on depth information of at least one real-time image of the target. The method further comprises projecting color pixel information of a real-time color image of the target object to a three-dimensional virtual model based on the real-time three-dimensional information. The real-time color image may be acquired by a color camera system. The method further comprises generating a color three-dimensional virtual model. The color three-dimensional virtual model may comprise the color pixel information.

2. 发明授权

US10209698B2 Calibration method and automation machining apparatus using the same 有权
公开(公告)号：US10209698B2
公开(公告)日：2019-02-19
申请号：US14696049
申请日：2015-04-24
申请人： INDUSTRIAL TECHNOLOGY RESEARCH INSTITUTE
发明人： Chung-Li Tai , Yao-Yang Tsai , Jay Huang , Ko-Shyang Wang , Chih-Kai Chiu
IPC分类号： G05B19/401 , G06T7/80
摘要： A calibration method applicable for an automation machining 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 machining parameter of the automation machining apparatus based on the at least one error parameter.

3. 发明申请

US20140099017A1 METHOD AND APPARATUS FOR RECONSTRUCTING THREE DIMENSIONAL MODEL 有权
标题翻译：用于重构三维模型的方法和装置
公开(公告)号：US20140099017A1
公开(公告)日：2014-04-10
申请号：US13686927
申请日：2012-11-28
申请人： INDUSTRIAL TECHNOLOGY RESEARCH INSTITUTE
发明人： Yao-Yang Tsai , Hian-Kun Tenn , Jay Huang
IPC分类号： G06T17/00
CPC分类号： G06T17/00 , G06T7/11 , G06T7/596 , G06T2200/08 , G06T2207/10028
摘要： A method and an apparatus for reconstructing a three dimensional model of an object are provided. The method includes the following steps. A plurality of first depth images of an object are obtained. According to a linking information of the object, the first depth images are divided into a plurality of depth image groups. The linking information records location information corresponding to a plurality of substructures of the object. Each depth image group includes a plurality of second depth images, and the substructures correspond to the second depth images. According to the second depth image and the location information corresponding to each substructure, a local module of each substructure is built. According to the linking information, the local models corresponding to the substructures are merged, and the three-dimensional model of the object is built.
摘要翻译：提供了一种用于重建物体的三维模型的方法和装置。该方法包括以下步骤。获得对象的多个第一深度图像。根据对象的链接信息，将第一深度图像分割为多个深度图像组。链接信息记录与对象的多个子结构对应的位置信息。每个深度图像组包括多个第二深度图像，并且子结构对应于第二深度图像。根据第二深度图像和对应于每个子结构的位置信息，构建每个子结构的局部模块。根据链接信息，对应于子结构的局部模型进行合并，构建对象的三维模型。

4. 发明授权

US09262862B2 Method and apparatus for reconstructing three dimensional model 有权
标题翻译：重建三维模型的方法和装置
公开(公告)号：US09262862B2
公开(公告)日：2016-02-16
申请号：US13686927
申请日：2012-11-28
申请人： Industrial Technology Research Institute
发明人： Yao-Yang Tsai , Hian-Kun Tenn , Jay Huang
IPC分类号： G06T17/00 , G06T7/00
CPC分类号： G06T17/00 , G06T7/11 , G06T7/596 , G06T2200/08 , G06T2207/10028
摘要： A method and an apparatus for reconstructing a three dimensional model of an object are provided. The method includes the following steps. A plurality of first depth images of an object are obtained. According to a linking information of the object, the first depth images are divided into a plurality of depth image groups. The linking information records location information corresponding to a plurality of substructures of the object. Each depth image group includes a plurality of second depth images, and the substructures correspond to the second depth images. According to the second depth image and the location information corresponding to each substructure, a local module of each substructure is built. According to the linking information, the local models corresponding to the substructures are merged, and the three-dimensional model of the object is built.
摘要翻译：提供了一种用于重建物体的三维模型的方法和装置。该方法包括以下步骤。获得对象的多个第一深度图像。根据对象的链接信息，将第一深度图像分割为多个深度图像组。链接信息记录与对象的多个子结构对应的位置信息。每个深度图像组包括多个第二深度图像，并且子结构对应于第二深度图像。根据第二深度图像和对应于每个子结构的位置信息，构建每个子结构的局部模块。根据链接信息，对应于子结构的局部模型进行合并，构建对象的三维模型。

5. 发明授权

US10762699B2 Machining parameter automatic generation system 有权
公开(公告)号：US10762699B2
公开(公告)日：2020-09-01
申请号：US16225931
申请日：2018-12-19
申请人： INDUSTRIAL TECHNOLOGY RESEARCH INSTITUTE
发明人： Yang-Lun Liu , Yu-Lin Tsai , Yao-Yang Tsai , Cheng-Chieh Wu , Shuo-Peng Liang
IPC分类号： G06T17/10 , G06K9/62 , G06N3/08 , G06F30/00
摘要： 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.

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