A Profilometric Approach for 3D Reconstruction Using Fourier and Wavelet Transforms

被引:0
作者
Carlos Pedraza-Ortega, Jesus [1 ]
Gorrostieta-Hurtado, Efren [1 ]
Manuel Ramos-Arreguin, Juan [1 ]
Luz Canchola-Magdaleno, Sandra [1 ]
Antonio Aceves-Fernandez, Marco [1 ]
Delgado-Rosas, Manuel [1 ]
Angelica Rico-Hernandez, Ruth [1 ]
机构
[1] Univ Autonoma Queretaro, CIDIT Fac Informat, Juriquilla 76230, Queretaro, Mexico
来源
MICAI 2009: ADVANCES IN ARTIFICIAL INTELLIGENCE, PROCEEDINGS | 2009年 / 5845卷
关键词
3D Reconstruction; image processing; segmentation; Fourier; wavelet; FRINGE-PATTERN-ANALYSIS;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this research, an improved method for three-dimensional shape measurement by fringe projection is presented. The use of Fourier and Wavelet transform based analysis to extract the 3D information from the objects is proposed. The method requires a single image which contains a sinusoidal white light fringe pattern projected on it. This fringe pattern has a known spatial frequency and this information is used to avoid the discontinuities in the fringes with high frequency. Several computer simulations and experiments have been carried out to verify the analysis. The comparison between numerical simulations and experiments has proved the validity of this proposed method.
引用
收藏
页码:313 / 323
页数:11
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