19 May 2016 A comparative study on 3D range data compression methods
Author Affiliations +
As high-quality 3D range scanners become increasingly adopted, a common issue emerges that is how best to properly store captured 3D data as it inherently contains a large amount of information per each frame. One approach that has proved successful is to convert 3D range data to 2D regular color images that can be further compressed using traditional image compression techniques (e.g., JPEG). In literature, there are three major conversion methods: (1) virtual fringe projection; (2) direct depth encoding; and (3) multiwavelength depth en- coding. This paper compares the effectiveness and limitations of all three major compression methods, especially when the resultant 2D images are stored with low-quality lossy (i.e., JPEG) image formats. Experimental data found that multiwavelength depth encoding outperforms both other methods, especially under various levels of lossy JPEG compression. Principles of each method will be explained, and experimental data will be presented to evaluate each method.
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Tyler Bell, Tyler Bell, Song Zhang, Song Zhang, "A comparative study on 3D range data compression methods", Proc. SPIE 9868, Dimensional Optical Metrology and Inspection for Practical Applications V, 986803 (19 May 2016); doi: 10.1117/12.2225225; https://doi.org/10.1117/12.2225225


Recovery of 3D human posture from single view
Proceedings of SPIE (August 29 2002)
A raw data compression for digital cameras with a color...
Proceedings of SPIE (January 27 2008)
Techniques for geophysical data compression
Proceedings of SPIE (August 30 1993)
A novel stereo pair coding algorithm based on hybrid block...
Proceedings of SPIE (December 14 2003)

Back to Top