CN111191708A - 自动化样本关键点标注方法、装置及*** - Google Patents
自动化样本关键点标注方法、装置及*** Download PDFInfo
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- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
- G06V10/74—Image or video pattern matching; Proximity measures in feature spaces
- G06V10/75—Organisation of the matching processes, e.g. simultaneous or sequential comparisons of image or video features; Coarse-fine approaches, e.g. multi-scale approaches; using context analysis; Selection of dictionaries
- G06V10/757—Matching configurations of points or features
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- G—PHYSICS
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- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
- G06V10/46—Descriptors for shape, contour or point-related descriptors, e.g. scale invariant feature transform [SIFT] or bags of words [BoW]; Salient regional features
- G06V10/462—Salient features, e.g. scale invariant feature transforms [SIFT]
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Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111738180A (zh) * | 2020-06-28 | 2020-10-02 | 浙江大华技术股份有限公司 | 关键点的标注方法、装置、存储介质及电子装置 |
CN111881923A (zh) * | 2020-07-28 | 2020-11-03 | 民生科技有限责任公司 | 一种基于特征匹配的票据要素提取方法 |
CN112464952A (zh) * | 2020-11-25 | 2021-03-09 | 创新奇智(南京)科技有限公司 | 一种图像对齐方法以及图像匹配识别方法 |
Citations (14)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102012939A (zh) * | 2010-12-13 | 2011-04-13 | 中国人民解放军国防科学技术大学 | 综合颜色和局部不变特征匹配的动画场景自动标注方法 |
CN102663351A (zh) * | 2012-03-16 | 2012-09-12 | 江南大学 | 基于条件外观模型的人脸特征点自动标定方法 |
CN103218603A (zh) * | 2013-04-03 | 2013-07-24 | 哈尔滨工业大学深圳研究生院 | 一种人脸自动标注方法及*** |
CN103390282A (zh) * | 2013-07-30 | 2013-11-13 | 百度在线网络技术(北京)有限公司 | 图像标注方法及其装置 |
CN104123542A (zh) * | 2014-07-18 | 2014-10-29 | 大连理工大学 | 一种轮毂工件定位的装置及其方法 |
CN106791937A (zh) * | 2016-12-15 | 2017-05-31 | 广东威创视讯科技股份有限公司 | 视频图像的标注方法和*** |
CN106898245A (zh) * | 2015-12-18 | 2017-06-27 | 北京四维图新科技股份有限公司 | 一种地图注记的标注方法及装置 |
CN107274345A (zh) * | 2017-06-07 | 2017-10-20 | 众安信息技术服务有限公司 | 一种中文打印字符图像合成方法及装置 |
CN108470585A (zh) * | 2018-03-14 | 2018-08-31 | 南京泰立瑞信息科技有限公司 | 一种互动式虚拟切片远程标注方法及*** |
CN109003269A (zh) * | 2018-07-19 | 2018-12-14 | 哈尔滨工业大学 | 一种能提高医生效率的医学影像病灶的标注提取方法 |
CN109086798A (zh) * | 2018-07-03 | 2018-12-25 | 迈吉客科技(北京)有限公司 | 一种数据标注方法和标注装置 |
CN109685078A (zh) * | 2018-12-17 | 2019-04-26 | 浙江大学 | 基于自动标注的红外图像识别方法 |
CN109753975A (zh) * | 2019-02-02 | 2019-05-14 | 杭州睿琪软件有限公司 | 一种训练样本获得方法、装置、电子设备和存储介质 |
CN110175255A (zh) * | 2019-05-29 | 2019-08-27 | 腾讯科技(深圳)有限公司 | 图像标注的方法、基于病理图像的标注展示方法及装置 |
-
2019
- 2019-12-25 CN CN201911359192.4A patent/CN111191708A/zh active Pending
Patent Citations (16)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102012939A (zh) * | 2010-12-13 | 2011-04-13 | 中国人民解放军国防科学技术大学 | 综合颜色和局部不变特征匹配的动画场景自动标注方法 |
CN102663351A (zh) * | 2012-03-16 | 2012-09-12 | 江南大学 | 基于条件外观模型的人脸特征点自动标定方法 |
CN103218603A (zh) * | 2013-04-03 | 2013-07-24 | 哈尔滨工业大学深圳研究生院 | 一种人脸自动标注方法及*** |
CN103390282A (zh) * | 2013-07-30 | 2013-11-13 | 百度在线网络技术(北京)有限公司 | 图像标注方法及其装置 |
CN104123542A (zh) * | 2014-07-18 | 2014-10-29 | 大连理工大学 | 一种轮毂工件定位的装置及其方法 |
CN106898245A (zh) * | 2015-12-18 | 2017-06-27 | 北京四维图新科技股份有限公司 | 一种地图注记的标注方法及装置 |
WO2018107777A1 (zh) * | 2016-12-15 | 2018-06-21 | 威创集团股份有限公司 | 视频图像的标注方法和*** |
CN106791937A (zh) * | 2016-12-15 | 2017-05-31 | 广东威创视讯科技股份有限公司 | 视频图像的标注方法和*** |
CN107274345A (zh) * | 2017-06-07 | 2017-10-20 | 众安信息技术服务有限公司 | 一种中文打印字符图像合成方法及装置 |
CN108470585A (zh) * | 2018-03-14 | 2018-08-31 | 南京泰立瑞信息科技有限公司 | 一种互动式虚拟切片远程标注方法及*** |
CN109086798A (zh) * | 2018-07-03 | 2018-12-25 | 迈吉客科技(北京)有限公司 | 一种数据标注方法和标注装置 |
CN109003269A (zh) * | 2018-07-19 | 2018-12-14 | 哈尔滨工业大学 | 一种能提高医生效率的医学影像病灶的标注提取方法 |
CN109685078A (zh) * | 2018-12-17 | 2019-04-26 | 浙江大学 | 基于自动标注的红外图像识别方法 |
CN109753975A (zh) * | 2019-02-02 | 2019-05-14 | 杭州睿琪软件有限公司 | 一种训练样本获得方法、装置、电子设备和存储介质 |
CN110175255A (zh) * | 2019-05-29 | 2019-08-27 | 腾讯科技(深圳)有限公司 | 图像标注的方法、基于病理图像的标注展示方法及装置 |
CN110377779A (zh) * | 2019-05-29 | 2019-10-25 | 腾讯科技(深圳)有限公司 | 图像标注的方法、基于病理图像的标注展示方法及装置 |
Non-Patent Citations (2)
Title |
---|
邱尚明等: "基于互补特征合成的医学图像自动标注", 《控制工程》 * |
邱尚明等: "基于互补特征合成的医学图像自动标注", 《控制工程》, no. 05, 20 May 2017 (2017-05-20), pages 1025 - 1031 * |
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111738180A (zh) * | 2020-06-28 | 2020-10-02 | 浙江大华技术股份有限公司 | 关键点的标注方法、装置、存储介质及电子装置 |
CN111881923A (zh) * | 2020-07-28 | 2020-11-03 | 民生科技有限责任公司 | 一种基于特征匹配的票据要素提取方法 |
CN112464952A (zh) * | 2020-11-25 | 2021-03-09 | 创新奇智(南京)科技有限公司 | 一种图像对齐方法以及图像匹配识别方法 |
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