Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W8, 209-212, 2017
https://doi.org/10.5194/isprs-archives-XLII-2-W8-209-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
 
14 Nov 2017
3D MODELLING BY LOW-COST RANGE CAMERA: SOFTWARE EVALUATION AND COMPARISON
R. Ravanelli1, L. Lastilla1,2, and M. Crespi1,2 1Geodesy and Geomatics Division, DICEA - University of Rome “La Sapienza”, Rome, Italy
2School for Advanced Studies, Rome, Italy
Keywords: Range camera, Occipital Structure SensorTM, 3D modelling, software comparison Abstract. The aim of this work is to present a comparison among three software applications currently available for the Occipital Structure SensorTM; all these software were developed for collecting 3D models of objects easily and in real-time with this structured light range camera. The SKANECT, itSeez3D and Scanner applications were thus tested: a DUPLOTM bricks construction was scanned with the three applications and the obtained models were compared to the model virtually generated with a standard CAD software, which served as reference.

The results demonstrate that all the software applications are generally characterized by the same level of geometric accuracy, which amounts to very few millimetres. However, the itSeez3D software, which requires a payment of $7 to export each model, represents surely the best solution, both from the point of view of the geometric accuracy and, mostly, at the level of the color restitution. On the other hand, Scanner, which is a free software, presents an accuracy comparable to that of itSeez3D. At the same time, though, the colors are often smoothed and not perfectly overlapped to the corresponding part of the model. Lastly, SKANECT is the software that generates the highest number of points, but it has also some issues with the rendering of the colors.

Conference paper (PDF, 1993 KB)


Citation: Ravanelli, R., Lastilla, L., and Crespi, M.: 3D MODELLING BY LOW-COST RANGE CAMERA: SOFTWARE EVALUATION AND COMPARISON, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W8, 209-212, https://doi.org/10.5194/isprs-archives-XLII-2-W8-209-2017, 2017.

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