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公开(公告)号：US20170053393A1
公开(公告)日：2017-02-23
申请号：US14973676
申请日：2015-12-17
Applicant: Industrial Technology Research Institute
Inventor： Szu-Han Tzao , Yue-Min Jiang , Chih-Jen Hsu , Ho-Hsin Lee , Tsai-Ya Lai , Duan-Yu Chen
CPC classification number: G06T7/0004 , G06F17/30259 , G06F17/3028 , G06K9/46 , G06K9/6215 , G06K9/6267 , G06K9/6293 , G06K2009/4666 , G06K2209/17 , G06T7/40 , G06T7/73 , G06T2207/30128
Abstract: A system for object recognition includes an image/spectrum sensing device, to fetch an object image from a real object and sense spectra at sensing regions of the real object. A fetching module obtains a real-object image feature pattern for each ROI of the object image. An analyzing module for object image feature searches for a first candidate object from data bank and analyzes a correlation between the real object and candidate object. A fetching module for object spectrum feature obtains a real-object spectrum pattern for each ROI of the object image. An analyzing module for object spectrum feature is to search for a second candidate object from data bank and to further analyze a match level between the real-object and the second candidate object. A fusion module further analyzes information of image feature and spectrum feature find whether or not having a matched object as an identify object.
Abstract translation: 用于对象识别的系统包括图像/频谱感测装置，从真实对象获取对象图像并感测真实对象的感测区域处的光谱。 提取模块获取对象图像的每个ROI的实体图像特征图案。 用于对象图像特征的分析模块从数据库中搜索第一候选对象，并分析真实对象和候选对象之间的相关性。 用于对象光谱特征的获取模块获得对象图像的每个ROI的实际光谱图案。 用于对象频谱特征的分析模块是从数据库搜索第二候选对象，并进一步分析实体和第二候选对象之间的匹配级别。 融合模块进一步分析图像特征和频谱特征的信息，查找是否具有匹配对象作为识别对象。
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公开(公告)号：US09824434B2
公开(公告)日：2017-11-21
申请号：US14973676
申请日：2015-12-17
Applicant: Industrial Technology Research Institute
Inventor： Szu-Han Tzao , Yue-Min Jiang , Chih-Jen Hsu , Ho-Hsin Lee , Tsai-Ya Lai , Duan-Yu Chen
CPC classification number: G06T7/0004 , G06F17/30259 , G06F17/3028 , G06K9/46 , G06K9/6215 , G06K9/6267 , G06K9/6293 , G06K2009/4666 , G06K2209/17 , G06T7/40 , G06T7/73 , G06T2207/30128
Abstract: A system for object recognition includes an image/spectrum sensing device, to fetch an object image from a real object and sense spectra at sensing regions of the real object. A fetching module obtains a real-object image feature pattern for each ROI of the object image. An analyzing module for object image feature searches for a first candidate object from data bank and analyzes a correlation between the real object and candidate object. A fetching module for object spectrum feature obtains a real-object spectrum pattern for each ROI of the object image. An analyzing module for object spectrum feature is to search for a second candidate object from data bank and to further analyze a match level between the real-object and the second candidate object. A fusion module further analyzes information of image feature and spectrum feature find whether or not having a matched object as an identify object.
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