An iterative multiresolution scheme for SFM with missing data: Single and multiple object scenes

  • Authors:
  • Carme Julií;Angel D. Sappa;Felipe Lumbreras;Joan Serrat;Antonio López

  • Affiliations:
  • Intelligent Robotics and Computer Vision Group, Department of Computer Science and Mathematics, ETSE-URV Av.Països Catalans 26, 43007 Tarragona, Spain;Computer Vision Center, Edifici O Campus UAB, 08193 Bellaterra, Barcelona, Spain;Computer Vision Center, Edifici O Campus UAB, 08193 Bellaterra, Barcelona, Spain and Computer Science, Department Edifici O Campus UAB, 08193 Bellaterra, Barcelona, Spain;Computer Vision Center, Edifici O Campus UAB, 08193 Bellaterra, Barcelona, Spain and Computer Science, Department Edifici O Campus UAB, 08193 Bellaterra, Barcelona, Spain;Computer Vision Center, Edifici O Campus UAB, 08193 Bellaterra, Barcelona, Spain and Computer Science, Department Edifici O Campus UAB, 08193 Bellaterra, Barcelona, Spain

  • Venue:
  • Image and Vision Computing
  • Year:
  • 2010

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Abstract

Most of the techniques proposed for tackling the Structure from Motion problem (SFM) cannot deal with high percentages of missing data in the matrix of trajectories. Furthermore, an additional problem should be faced up when working with multiple object scenes: the rank of the matrix of trajectories should be estimated. This paper presents an iterative multiresolution scheme for SFM with missing data to be used in both the single and multiple object cases. The proposed scheme aims at recovering missing entries in the original input matrix. The objective is to improve the results by applying a factorization technique to the partially or totally filled in matrix instead of to the original input one. Experimental results obtained with synthetic and real data sequences, containing single and multiple objects, are presented to show the viability of the proposed approach.