Analysis of focus measure operators for shape-from-focus

  • Authors:

  • Said Pertuz;Domenec Puig;Miguel Angel Garcia

  • Affiliations:

  • Intelligent Robotics and Computer Vision Group, Department of Computer Science and Mathematics, Universitat Rovira i Virgili, Av. Paisos Catalans 26, Tarragona, Spain;Intelligent Robotics and Computer Vision Group, Department of Computer Science and Mathematics, Universitat Rovira i Virgili, Av. Paisos Catalans 26, Tarragona, Spain;Department of Electronic and Communications Technology, Autonomous University of Madrid, Francisco Tomas y Valiente 11, 28049 Madrid, Spain

  • Venue:
  • Pattern Recognition
  • Year:
  • 2013

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Abstract

Shape-from-focus (SFF) has widely been studied in computer vision as a passive depth recovery and 3D reconstruction method. One of the main stages in SFF is the computation of the focus level for every pixel of an image by means of a focus measure operator. In this work, a methodology to compare the performance of different focus measure operators for shape-from-focus is presented and applied. The selected operators have been chosen from an extensive review of the state-of-the-art. The performance of the different operators has been assessed through experiments carried out under different conditions, such as image noise level, contrast, saturation and window size. Such performance is discussed in terms of the working principles of the analyzed operators.