Computational Design & Manufacturing Lab

University of Wisconsin-Madison

























Dynamic sensing and modeling (supported by AFOSR)

o   The ability to obtain a digital geometric model directly from physical objects marks a revolutionary step in the information era. Three-dimensional (3D) digitization is a process to create three-dimensional computer models of a physical object. Such reconstructed 3D shape models have become indispensable in a variety of applications such as product design and manufacturing in aerospace, automotive, and die and mold industry, patient-specific medical device design and analysis, as well as target recognition and scene understanding in homeland security and military applications

o   The objective of this research is to develop foundational shape digitization theories and algorithms for a multimodal digitization system that can couple 3D sensing and post-sensing shape reconstruction in a dynamic manner in order to fundamentally improve digitization automation level, speed, efficiency and the resulting surface quality. (video)

Multi-stage multi-sensor digitization system (Minolta Vivid 9i area sensor, Optimet line/point sensor, touch probe)

Acquired point cloud data from the system

Low-discrepancy based dynamic sensing-and-modeling


Representative publications:

o   Huang, Y., Qian, X. and Chen, S., "Multi-Sensor Calibration through Iterative Registration and Fusion," Computer-Aided Design, Vol. 41, No. 4, pp. 240-255, April 2009.

o   Huang, Y. and Qian, X., "An efficient sensing localization algorithm for free-form surface digitization," ASME Transactions Journal of Computing and Information Science in Engineering, Vol. 8, No. 2, June 2008. [pdf]

o   Huang, Y. and Qian, X., "Dynamic B-spline Surface Reconstruction: Closing the Sensing-and-Modeling Loop in 3D Digitization," Computer-Aided Design, Vol. 39, No. 11, pp. 987-1002, Nov 2007. [pdf]

o   Huang, Y. and Qian, X., "A dynamic sensing-and-modeling approach to 3D point- and area-sensor integration," ASME Transactions Journal of Manufacturing Science and Engineering, Vol. 129, pp. 623- 635, June 2007. [pdf]














Last updated Feb 21, 2014.




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