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김대운(Daewoon Kim),지중현(Joonghyun Ji),윤동호(Dongho Yun),안형갑(Hyonggap An),송가람(Galam Song),S.M. Abid Hasan,Mamona Awan,고광희(Kwanghee Ko) (사)한국CDE학회 2015 한국 CAD/CAM 학회 학술발표회 논문집 Vol.2015 No.동계
Recent research in the marine and automotive industries has been trying to apply Augmented Reality (AR). AR is used to display 3D CAD model of part or module on the 2D image captured by camera. Augmented CAD model helps mechanics to improve their work efficiency and safety by displaying specific information of part (procedure, size, position, finished product, etc.) and instructions etc. In this paper, we applied AR to marine industry, especially ship block. To augment 3D CAD model of ship block on 2D input image, ship block should be detected from 2D input image. The HSV color space and Mean shift image segmentation is used to detect ship block and by using Hough transform the lines of detected ship block are obtained. In addition, 3D CAD model is used to construct training set with known pose. By comparing training set and detected lines of input image, we obtained initial pose of the ship block. Because initial pose is not exact, more exact pose of ship block is found using Lie groups. Finally we can augment 3D CAD model on 2D input image with known camera’s intrinsic parameters and obtained pose of ship block which is same to camera’s extrinsic parameters.