3D Model Reconstruction from Multi-views of 2D Images using Radon Transform

Authors

  • Siti Syazalina Mohd. Sobani Faculty of Biosciences & Medical Engineering, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Malaysia
  • Nasrul Humaimi Mahmood Faculty Electrical Engineering, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Malaysia
  • Nor Aini Zakaria Faculty Electrical Engineering, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Malaysia
  • Ismail Ariffin Faculty Electrical Engineering, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Malaysia

DOI:

https://doi.org/10.11113/jt.v74.4663

Keywords:

3D reconstruction, multiple views, edge detection, image segmentation, Radon transform

Abstract

This paper presents a simple computation method to reconstruct 3-dimensional (3D) model from a sequence of 2-dimensional (2D) images using a multiple-view camera setup. The 3D model is acquired by applying several images processing on few 2D images captured by digital camera with different angle of views. The setup for this study consisted of a digital camera mounted on a tripod stand focusing at a block of model object on a turntable with black floor and background. 36 different angles are used to capture the images where every view angle differs by ten degree (10°) with another view in a fixed sequence. The image processing applied on all 2D images to be reconstructed as 3D surface are image segmentation, Radon transform (RT), image filtering, morphological operation, edge detection, and boundary extraction. The results for 3D model reconstruction shows it is well reconstructed, with a smooth texture obtained using 3D mesh and Delaunay triangulation, while the shape is nearly identical to the original model while the remaining are distinguishable.  

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Published

2015-05-28

How to Cite

3D Model Reconstruction from Multi-views of 2D Images using Radon Transform. (2015). Jurnal Teknologi, 74(6). https://doi.org/10.11113/jt.v74.4663