| Summary: | 碩士 === 國立暨南國際大學 === 資訊工程學系 === 98 === The 3D surface scanning technology has been widely applied in computer vision fields. In the technology, Gray code and Hilbert curves are the two major codes conventionally used. In this study, we focus on the comparison and construction of the simulation of Gray code, Hilbert curves, and the codes under Gray Coding Rule proposed in previous studies. The affect on the performance caused by the high frequency terms in the codes has also been examined, and various decoding rules applied on the codes are proposed and compared.
Finally, a group of parameters in a 3D surface scanning system such as noise, mean and standard deviation of the projected images, self- and cross-correlation of the recorded images, jittering, etc., have also been examined. The raw data of the parameters have been offered to a computer programming algorithm in order to build up a simulation environment of the 3D surface scanning system.
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