3D Point Cloud Model Color Adjustment by Combining Terrestrial Laser Scanner and Close Range Photogrammetry Datasets

Authors: M. Pepe, S. Ackermann, L. Fregonese, C. Achille

Abstract:

3D models obtained with advanced survey techniques such as close-range photogrammetry and laser scanner are nowadays particularly appreciated in Cultural Heritage and Archaeology fields. In order to produce high quality models representing archaeological evidences and anthropological artifacts, the appearance of the model (i.e. color) beyond the geometric accuracy, is not a negligible aspect. The integration of the close-range photogrammetry survey techniques with the laser scanner is still a topic of study and research. By combining point cloud data sets of the same object generated with both technologies, or with the same technology but registered in different moment and/or natural light condition, could construct a final point cloud with accentuated color dissimilarities. In this paper, a methodology to uniform the different data sets, to improve the chromatic quality and to highlight further details by balancing the point color will be presented.

Keywords: Color models, cultural heritage, laser scanner, photogrammetry, point cloud color.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1127246

References:

[1] H. Eisenbeiss and L. Zhang, “Comparison of DSMs generated from mini UAV imagery and terrestrial laser scanner in a cultural heritage application”, in International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. XXXVI-5, 2006, pp. 90-96.
[2] M. Pepe, and G. Prezioso, “Two Approaches for Dense DSM Generation from Aerial Digital Oblique Camera System”, in Proceedings of the 2nd International Conference on Geographical Information Systems Theory, Applications and Management, 2016, pp. 63-70.
[3] F. Remondino, “Heritage recording and 3D modeling with photogrammetry and 3D scanning”, in Remote Sensing, Vol. 3, Iss. 6, 2011, pp. 1104-1138.
[4] F. Fassi, L. Fregonese, S. Ackermann and V. De Troia, “Comparison Between Laser Scanning and Automated 3D Modelling Techniques To Reconstruct Complex and Extensive Cultural Heritage Areas,” in International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, 2013, Vol. XL–5/W1, pp. 73–80.
[5] T. Kersten, M. Lindstaedt, L. Maziull, K. Schreyer, F. Tschirschwitz, and K. Holm, “3D recording, modelling and visualisation of the fortification kristiansten in Trondheim (Norway) by photogrammetric methods and terrestrial laser scanning in the framework of Erasmus programmes”, in International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, 2015, pp. 225-230.
[6] R. Kadobayashi, N. Kochi, H. Otani, and R. Furukawa, “Comparison and evaluation of laser scanning and photogrammetry and their combined use for digital recording of cultural heritage” in International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2004, pp. 401-406.
[7] P. Grussenmeyer, T. Landes, T. Voegtle, and K. Ringle, “Comparison methods of terrestrial laser scanning, photogrammetry and tacheometry data for recording of cultural heritage buildings” in International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XXXVII, Part B5, 2008, pp. 213–218.
[8] A. Samberg, “An implementation of the ASPRS LAS standard” in International Archives of the Photogrammetry and Remote Sensing, Volume XXXVI, Part 3 / W52, 2007, pp. 363-372.
[9] K. Korzeniowska, “Modelling of water surface topography on the Digital Elevation Models using LiDAR data”, in AGILE'2012 International Conference on Geographic Information Science, Avignon, April, 24-27, 2012, pp. 333-335.
[10] X. Wang, K. Zhou, J. Yang, and Y. Lu, “MATLAB tools for LIDAR data conversion, visualization, and processing”, in Proc. SPIE 8286, International Symposium on Lidar and Radar Mapping 2011: Technologies and Applications, 2011, pp. 82860M-82860M-8.
[11] M. Pepe, and G. Prezioso, “A Matlab Geodetic Software for Processing Airborne LIDAR Bathymetry Data”, in International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XL-5/W5, 2015, pp. 167-170.
[12] A. R. Smith, and E. R. Lyons, “HWB—A more intuitive hue-based color model” in Journal of Graphics Tools, Vol. 1, Iss. 1, 1996, pp. 3-17.
[13] A. H. Munsell A. H., A Color Notation, 1 edition, Ed. G. H. Ellis Co, Boston, 1905.
[14] P. Bourke, “Colour ramping for data visualization” http://paulbourke.net/texture_colour/colourspace/ (last accessed, 20/05/2016)
[15] K. N. Plataniotis, and A. N. Venetsanopoulos, Color image processing and applications, Springer, Berlin, 2000
[16] P.A Brivio, G. Lechi, E Zilioli., Principi e metodi di telerilevamento, Edizioni Città Studi, Milano, 2006.
[17] A. R. Smith, “Color gamut transform pairs”, in SIGGRAPH Conference Proceedings, 1978, pp. 12-19.
[18] K. Fishkin, “A Fast HSL-to-RGB Transform”, in Graphics Gems, Academic Press Professional, Inc. San Diego, CA, 1990, pp. 448–449.