Three-dimensional data merging using Holoimage

Song Zhang Shing-Tung Yau

Data Analysis mathscidoc:1912.43630

Optical Engineering, 47, (3), 033608, 2008.3
Three-dimensional data merging is vital for full-field three-dimensional (3D) shape measurement. All 3D range data patches, acquired from either different sensors or the same sensor in different viewing angles, have to be merged into a single piece to facilitate future data analysis. A novel method for 3D data merging using Holoimage is proposed. Similar to the 3D shape measurement system using a phase-shifting method, Holoimage is a phase-shiftingbased computer synthesized fringe image. The 3D information is retrieved from Holoimage using a phase-shifting method. If two patches of 3D data with overlapping areas are rendered by OpenGL, the overlapping areas are resolved by the graphics pipeline, that is, only the front geometry can be visualized. Therefore, the merging is performed if the front geometry information can be obtained. Holoimage is to obtain the front geometry by projecting the fringe
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  title={Three-dimensional data merging using Holoimage},
  author={Song Zhang, and Shing-Tung Yau},
  booktitle={Optical Engineering},
Song Zhang, and Shing-Tung Yau. Three-dimensional data merging using Holoimage. 2008. Vol. 47. In Optical Engineering. pp.033608.
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