3D modeling of optically challenging objects

IEEE Transactions on Visualization and Computer Graphics
Johnny Park, Avinash Kak

Abstract

We present a system for constructing 3D models of real-world objects with optically challenging surfaces. The system utilizes a new range imaging concept called multi-peak range imaging, which stores multiple candidates of range measurements for each point on the object surface. The multiple measurements include the erroneous range data caused by various surface properties that are not ideal for structured-light range sensing. False measurements generated by spurious reflections are eliminated by applying a series of constraint tests. The constraint tests based on local surface and local sensor visibility are applied first to individual range images. The constraint tests based on global consistency of coordinates and visibility are then applied to all range images acquired from different viewpoints. We show the effectiveness of our method by constructing 3D models of five different optically challenging objects. To evaluate the performance of the constraint tests and to examine the effects of the parameters used in the constraint tests, we acquired the ground truth data by painting those objects to suppress the surface-related properties that cause difficulties in range sensing. Experimental results indicate that our method sig...Continue Reading

Citations

Dec 23, 2015·Sensors·Ewelina RupnikNorbert Pfeifer
Oct 28, 2015·Microscopy and Microanalysis : the Official Journal of Microscopy Society of America, Microbeam Analysis Society, Microscopical Society of Canada·Thomas MuellerEduard Reithmeier
Mar 13, 2010·IEEE Transactions on Pattern Analysis and Machine Intelligence·Daniel G Aliaga, Yi Xu
Mar 14, 2009·IEEE Transactions on Visualization and Computer Graphics·Yi Xu, Daniel G Aliaga
Sep 29, 2015·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Budianto Budianto, Daniel Lun

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