Modeling of 3D Scene Based on Series of Photographs Taken with Different Depth-of-Field

  • Authors:
  • Marcin Denkowski;Michał Chlebiej;Paweł Mikołajczak

  • Affiliations:
  • Faculty of Computer Science, Maria Curie-Skłodowska University, Lublin, Poland 20-031;Faculty of Mathematics and Computer Science, N. Copernicus University, Toruń, Poland 87-100;Faculty of Computer Science, Maria Curie-Skłodowska University, Lublin, Poland 20-031

  • Venue:
  • ICCS '08 Proceedings of the 8th international conference on Computational Science, Part II
  • Year:
  • 2008

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Abstract

This paper presents a method for fusing multifocus images into enhanced depth-of-field composite image and creating a 3D model of a photographed scene. A set of images of the same scene is taken from a typical digital camera with macro lenses with different depth-of-field. The method employs convolution and morphological filters to designate sharp regions in this set of images and combine them together into an image where all regions are properly focused. The presented method consists of several phases including: image registration, height map creation, image reconstruction and final 3D scene reconstruction. In result a 3D model of the photographed object is created.