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Conference Paper
주심포 공포 AI 객체검출 기계학습시 도면 표현과 부재 인식 과정의 관련성 연구
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- Authors
- 이준규, 전해완, 이승재, 류성룡
- Issue Date
- 2022-10
- Citation
- 대한건축학회 학술 대회 (추계) 2022, pp.272-275
- Publisher
- 대한건축학회
- Language
- Korean
- Type
- Conference Paper
- Abstract
- The purpose of this study is to analyze the judgment of AI object detection by comparing the method of traditional architecture experts and the results of AI object detection. The results of AI object detection for Gongpo members can be summarized as follows. First, AI object detection understands the structure of Gongpo even if several members are overlapped in the drawing. Second, when AI recognizes Gongpo members, it determines based on the location and relationship of the members, which is not very different from the criteria distinguished by experts. Third, in addition to the location and relationship of the member, the shape of the member is also used, but it is not yet completely distinguished.
- KSP Keywords
- Object detection, Traditional architecture