| FFT-BASED FILTERING APPROACH TO FUSE PHOTOGRAMMETRY AND PHOTOMETRIC STEREO 3D DATA |
| Paper ID : 1068-GEOSPATIAL (R2) |
| Authors: |
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Ali Karami *1, Masood Varshosaz2, Fabio Menna3, Fabio Remondino3, Thomas Luhmann4 11. 3D Optical Metrology (3DOM) unit, Bruno Kessler Foundation (FBK), Trento, Italy (akarami@fbk.eu) 2. University of Trento, Italy (ali.karami@unitn.it) 2Geomatics Engineering Faculty, K.N.Toosi University of Technology, Tehran, Iran - varshosazm@kntu.ac.ir 33D Optical Metrology (3DOM) unit, Bruno Kessler Foundation (FBK), Trento, Italy 4Institute for Applied Photogrammetry and Geoinformatics, Jade University of Applied Sciences, Oldenburg, Germany |
| Abstract: |
| Image-based 3D reconstruction has been successfully employed for micro-measurements and industrial quality control purposes. However, obtaining a highly-detailed and reliable 3D reconstruction and inspection of non-collaborative surfaces is still an open issue. Photometric stereo (PS) offers the high spatial frequencies of the surface, but the low frequency is erroneous due to the mathematical model's assumptions and simplifications on how light interacts with the object surface. Photogrammetry, on the other hand, gives precise low-frequency information but fails to utilize high frequencies. As a result, in this research, we present a fusion strategy in Fourier domain to replace the low spatial frequencies of photometric stereo with the corresponding photogrammetric frequencies in order to have correct low frequencies while maintaining high frequencies. The proposed method was tested on three different objects. Different cloud-to-cloud comparisons were provided between reference data and the 3D points derived from the proposed method to evaluate high and low frequency information. The obtained 3D findings demonstrated how the proposed methodology generates a high-detail 3D reconstruction of the surface topography (below 20 µm) while maintaining low-frequency information (0.09 µm on average for three different testing objects) by fusing photogrammetric and photometric stereo depth data with the proposed FFT-based method. |
| Keywords: |
| Photogrammetry, Photometric stereo, High-resolution 3D reconstruction, Fast Fourier Transform (FFT), Fusion. |
| Status : Paper Accepted (Oral Presentation) |
