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스테레오 비전을 이용한 시트 메탈의 특징점 검출 및 측정
정건화(KeonHwa Jung),김한솔(Hansol Kim),장민호(Minho Chang),김준호(Junho Kim) (사)한국CDE학회 2012 한국 CAD/CAM 학회 학술발표회 논문집 Vol.2012 No.2
In general, pressed sheet metal is used for assemble car body. This sheet metal has various holes or convex on planes and they affect to extract feature points by detecting edges. There are two dimensions to find feature points. One is 2D image plane and another is 3D depth map. With calibrated stereo vision system, we can create a depth map by epipolar geometry. Feature points which are detected on 2D image have good accuracy but no robustness from noises so there are miss-extracted feature points on it. On the other hand, feature points which are detected on 3D depth map are robust to noises relatively. We purpose filtering miss-extracted feature points on 2D image by referring feature points on 3D depth map.
3차원 측정 데이터와 영상 데이터를 이용한 특징 형상 검출
김한솔(Hansol Kim),정건화(Keonhwa Jung),장민호(Minho Chang),김준호(Junho Kim) Korean Society for Precision Engineering 2013 한국정밀공학회지 Vol.30 No.6
3D scanning is a technique to measure the 3D shape information of the object. Shape information obtained by 3D scanning is expressed either as point cloud or as polygon mesh type data that can be widely used in various areas such as reverse engineering and quality inspection. 3D scanning should be performed as accurate as possible since the scanned data is highly required to detect the features on an object in order to scan the shape of the object more precisely. In this study, we propose the method on finding the location of feature more accurately, based on the extended Biplane SNAKE with global optimization. In each iteration, we project the feature lines obtained by the extended Biplane SNAKE into each image plane and move the feature lines to the features on each image. We have applied this approach to real models to verify the proposed optimization algorithm.