Impact of Gamma Correction on Quality of Geospatial 3D Reconstructions though Photogrammetry

Authors

  • Swati R. Maurya  Department of Computer Science, S. K. Somaiya College of Arts, Science & Commerce, Mumbai, India
  • Ganesh M. Magar  P. G. Department of Computer Science, S. N. D. T. Women’s University, Santacruz (W), Mumbai, India

Keywords:

Gamma Correction, Photogrammetry, Point Cloud, Surface Reconstruction, Mesh Generation

Abstract

Coding luminance value using nonlinear operations on 2D images acquired using the camera and other imaging systems is a key aspect to explore the information contained in them. Gamma correction is a way to encode and decode luminance values in still images. If applied as a preprocessing step in any reconstruction activity, it has potential to reveal several important aspects especially in the reconstruction of 3D objects. This paper presents experimental validation capabilities and influence of gamma corrections on the 3D reconstruction of geospatial objects using the photogrammetric pipeline. The proposed model is applied and validated on natural terrain region and man-made building structure as well. Results show that for gamma values between 0.0 and 0.3, the surface parameters like number of point clouds, faces and mesh vertices show steep linear degradation and thus the reconstructed surface. The tie points controlling the photogrammetry exhibited power law behavior with error minimizing for gamma values after 0.6. This paper exhibits the relevance of luminosity corrections based on gamma values and explains its role in defining the structural properties of the objects during photogrammetric reconstructions.

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2018-02-28

Issue

Volume 3, Issue 1, January-February-2018

Section

Research Articles

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Swati R. Maurya, Ganesh M. Magar, " Impact of Gamma Correction on Quality of Geospatial 3D Reconstructions though Photogrammetry, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 1, pp.1609-1616, January-February-2018.