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Adaptive Implicit-Camera Calibration in Photogrammetry Using Anfis

  • Erkan Beṣdok
  • Pınar Çivicioğlu
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4251)

Abstract

Camera Calibration (CC) is required in many Photogrammetry and Computer-Vision applications, where 3D information is extracted from images and CC is also employed for pose determination of imaging sensors. In this paper, a novel implicit-CC model (ICC) based on Adaptive Neuro Fuzzy Inference System has been introduced. The ICC is particularly useful for back-projection in the applications that do not require internal and external camera calibration parameters in addition to the expert knowledge. The ICC supports multi-view back-projection in intelligent-photogrammetry. In this paper, the back-projection performance of the ICC has been compared with the Modified Direct-Linear-Transformation (MDLT) on real-images in order to evaluate the success of the proposed ICC. Extensive simulation results show that the ICC achieves a better performance than the MDLT in the 3D reconstruction of scene.

Keywords

Adaptive Neuro Fuzzy Inference System Camera Calibration Triangular Membership Function Fuzzy Structure Camera Calibration Parameter 
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

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Erkan Beṣdok
    • 1
  • Pınar Çivicioğlu
    • 2
  1. 1.Enginering Faculty, Geodesy and Photogrammetry Engineering Dept.Erciyes UniversityKayseriTurkey
  2. 2.Civil Aviation School, Aircraft Electrics and Electronics Dept.Erciyes UniversityKayseriTurkey

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