Euclidean Reconstruction from Image Sequences with Varying and Unknown Focal Length and Principal Point

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceeding


The special case of reconstruction from image sequences taken by cameras with skew equal to 0 and aspect ratio equal to 1 has been treated. These type of cameras, here called cameras with Euclidean image planes, represent rigid projections where neither the principal point nor the focal length is known, it is shown that it is possible to reconstruct an unknown object from images taken by a camera with Euclidean image plane up to similarity transformations, i.e., Euclidean transformations plus changes in the global scale. An algorithm, using bundle adjustment techniques, has been implemented. The performance of the algorithm is shown on simulated data


Research areas and keywords

Subject classification (UKÄ) – MANDATORY

  • Mathematics


  • cameras, unknown principal point, varying principal point, unknown focal length, image sequences, varying focal length, Euclidean reconstruction, skew, aspect ratio, Euclidean image planes, rigid projections, unknown object reconstruction, similarity transformations, Euclidean transformations, global scale, algorithm performance, bundle adjustment techniques, simulated data, image reconstruction
Original languageEnglish
Title of host publicationProceedings Conference on Computer Vision and Pattern Recognition
PublisherIEEE - Institute of Electrical and Electronics Engineers Inc.
ISBN (Print)0 8186 7822 4
Publication statusPublished - 1997
Publication categoryResearch
EventIEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1997 - San Juan, Puerto Rico
Duration: 1997 Jun 171997 Jun 19


ConferenceIEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1997
CountryPuerto Rico
CitySan Juan