- 专利标题: LEARNING METHOD, LEARNING DEVICE FOR DETECTING OBJECT USING EDGE IMAGE AND TESTING METHOD, TESTING DEVICE USING THE SAME
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申请号: EP19172861.7申请日: 2019-05-06
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公开(公告)号: EP3620979A1公开(公告)日: 2020-03-11
- 发明人: KIM, Kye-Hyeon , KIM, Yongjoong , KIM, Insu , KIM, Hak-Kyoung , NAM, Woonhyun , BOO, SukHoon , SUNG, Myungchul , YEO, Donghun , RYU, Wooju , JANG, Taewoong , JEONG, Kyungjoong , JE, Hongmo , CHO, Hojin
- 申请人: Stradvision, Inc.
- 申请人地址: No. 4427, 4 research bldg. RIST 67, Cheongam-ro Nam-Gu Pohang, Gyeongsangbuk 37673 KR
- 专利权人: Stradvision, Inc.
- 当前专利权人: Stradvision, Inc.
- 当前专利权人地址: No. 4427, 4 research bldg. RIST 67, Cheongam-ro Nam-Gu Pohang, Gyeongsangbuk 37673 KR
- 代理机构: Klunker IP Patentanwälte PartG mbB
- 优先权: US201816120664 20180904
- 主分类号: G06K9/62
- IPC分类号: G06K9/62 ; G06K9/00 ; G06K9/46 ; G06N3/04 ; G06N3/08 ; G06T7/12
摘要:
A learning method for detecting a specific object based on convolutional neural network (CNN) is provided. The learning method includes steps of: (a) a learning device, if an input image is obtained, performing (i) a process of applying one or more convolution operations to the input image to thereby obtain at least one specific feature map and (ii) a process of obtaining an edge image by extracting at least one edge part from the input image, and obtaining at least one guide map including information on at least one specific edge part having a specific shape similar to that of the specific object from the obtained edge image; and (b) the learning device reflecting the guide map on the specific feature map to thereby obtain a segmentation result for detecting the specific object in the input image.
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