Research Article Open Access

IMPROVED INTERACTIVE METHOD FOR RECO-VERING 2.5D MODELS FROM SINGLE IMAGES

Furferi Rocco1, Governi Lapo1, Puggelli Luca1 and Yary Volpe1
  • 1 University of Firenze, Italy
Journal of Computer Science
Volume 10 No. 10, 2014, 2141-2154

DOI: https://doi.org/10.3844/jcssp.2014.2141.2154

Submitted On: 24 April 2014 Published On: 9 July 2014

How to Cite: Rocco, F., Lapo, G., Luca, P. & Volpe, Y. (2014). IMPROVED INTERACTIVE METHOD FOR RECO-VERING 2.5D MODELS FROM SINGLE IMAGES. Journal of Computer Science, 10(10), 2141-2154. https://doi.org/10.3844/jcssp.2014.2141.2154

Abstract

In the last years the development of interactive Computer-based methods for building virtual and physical 2.5D models from single shaded images faced with an exponential growth. In particular, a wide range of methods based on image processing-based procedures and on Shape From Shading (SFS) can be documented. On the basis of the most favorable techniques devised in literature, the present work describes an improved interactive method capable of retrieving 2.5D models using image shading information. The pro-posed method performs a SFS-based reconstruction where (1) the overall geometry of the expected surface is first recovered and (2) the final 2.5D reconstruction is obtained by minimizing a suitable functional using the rough surface as an initialization function. The method improves previous interactive works by introducing a novel two-step rough surface recovery and a new definition of a functional to be minimized for solving the SFS problem. Tested against a set of case studies the proposed method proves to be effective in providing 2.5D models.

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Keywords

  • Shape From Shading
  • Image Processing
  • Interactive Reconstruction
  • 2.5D Model
  • Minimization