Rectification of 3D Data Obtained from Moving Range Sensor by Using Extended Projective Multiple View Geometry
作者： Kazuki Kozuka , Cheng Wan , Jun Sato
DOI: 10.1007/S11633-008-0268-8
关键词: Image processing 、 Measure (mathematics) 、 Rectification 、 Computer vision 、 Mathematics 、 Machine vision 、 Range (statistics) 、 Raster scan 、 Geometry 、 Artificial intelligence 、 Stereopsis 、 Process (computing)
摘要: To measure the 3D shape of large objects, scanning by a moving range sensor is one most efficient methods. However, if we use sensors, obtained data have some distortions due to movement during process. In this paper, propose method for recovering correct from using multiple view geometry under projective projections in space-time. We assume that radiates laser beams raster scan order, and they are observed two cameras. first show can deal with as 2D images, extended be used representing relationship between image next rectifying sensor. The implemented tested synthetic images data. stability recovered also evaluated.
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