Programming and Computer Software

, Volume 30, Issue 5, pp 278–294 | Cite as

A Priori and A Posteriori Error Estimates in Recovery of 3D Scenes by Factorization Algorithms

  • N. V. Sveshnikova
  • D. V. Yurin


Many various algorithms for recovering three-dimensional scenes from a set of digital images have currently been developed. For certain scenes and shooting conditions, some algorithms give nice results, whereas others produce unacceptable results. In this paper, for a group of algorithms based on the matrix factorization, criteria are derived that make it possible, (a) by known statistical characteristics of the scene and shooting conditions, to predict whether a given algorithm can be used in the given case and, if it can, to determine the expected accuracy, (b) when recovering an unknown scene, to compute not only the desired results but also their accuracy (authenticity). A modification of the algorithm based on the adaptive selection of the approximation is suggested. Experimental verification of the criteria and estimates obtained showed their high efficiency and reliability.


Operating System Artificial Intelligence Error Estimate Digital Image Statistical Characteristic 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© MAIK “Nauka/Interperiodica” 2004

Authors and Affiliations

  • N. V. Sveshnikova
    • 1
  • D. V. Yurin
    • 2
  1. 1.Moscow Institute of Physics and Technology, COS & HT, Institutskii per. 9DolgoprudnyiRussia
  2. 2.The Federal State Unitary Enterprise Research and Production Enterprise “Optoelectronic Complexes and Systems,” 4-i Zapadnyi proezdZelenogradRussia

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