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1 October 2003 Fast surface approximation for volume and surface area measurements using distance transform
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The laser triangulation technique has been widely used to obtain three-dimensional (3-D) information because of its accuracy. It is a fast, noncontact method for 3-D measurement. However, 3-D data obtained from triangulation are not dense and usually not complete for surface reconstruction, especially for objects with irregular shapes. As the result of fitting surfaces with these sparse 3-D data, inaccuracy in measuring object surface area and volume is inevitable. Accurate surface reconstruction from incomplete 3-D data points becomes an important step toward accurate noncontact surface area and volume measurements of objects moving at high speed. A novel computer vision technique combining laser triangulation and a distance transform is developed to improve the 3-D measurement accuracy for objects with irregular shapes. The 2-D object image boundary points combined with the 3-D data obtained from laser triangulation are used to generate a 3-D wire frame. The distances from each pixel within the object boundary to its nearest boundary point are then used as the constraints for surface approximation. With this additional information from the distance transform, more accurate surface approximation can be achieved. This novel surface approximation technique is implemented and the measurement accuracy is compared with the accuracy using other surface interpolation techniques for the volume measurement of moving objects.
©(2003) Society of Photo-Optical Instrumentation Engineers (SPIE)
Dah-Jye Lee, Joseph D. Eifert, Pengcheng Zhan, and Benjamin P. Westover "Fast surface approximation for volume and surface area measurements using distance transform," Optical Engineering 42(10), (1 October 2003).
Published: 1 October 2003

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