PCVLab Director

Alper Yilmaz, PhD

Assoc. Prof. Geoinformation Science
Assoc. Prof. Computer Science
Co-chair, ISPRS WG III/3
Dept. of Civil, Env. and Geodetic Engineering
Curriculum Vitae
Google Scholar


About Us

At the PCVLab, our goal is to expand the sphere of "photogrammetry and computer vision" knowledge by solving complex image analysis and understanding tasks. To that extend, we work on three different aspects of the image-sequence analysis and understanding problems.

  • Multi sensor fusion: We use a set of complimentary sensors assisting our algorithms to solve difficult problems.
  • Photogrammetric computer vision: We introduce projective geometric constraints that improves quality and precision of new and traditional computer vision problems.
  • Mobile platforms: We predominantly utilize mobile platforms in data acquisition including but not limited to smart phones, Google Glass, UAS and UGV.

Our Generous Sponsors

  • National Geospatial Intelligence Agency (NGA)
  • National Aeronautics and Space Administration (NASA)
  • Trimble Navigation, Inc.
  • National Space Biomedical Research Institute (NSBRI)
  • National Science Foundation (NSF)
  • Air Force Research Laoratory (AFRL)
  • DoD Counter Intelligence Field Activity (CIFA)


Recent grants

NSF: Simulation of Collapse Behavior and Testing of Masonry Buildings (2014-2017)

Pelatonia IDEA:Wearable Navigation System for Image Guided Cancer Resection Surgery (2014-2016)

Trimble, Inc.: Smart cameras for 3D tracking (2014-2015)

NGA: Geolocating videos acquired from mobile platforms.” National Geospatial-Intelligence Agency (2013-2016)

Recent Papers

D. Zamalieva, A. Yilmaz and J. Davis. 2014. A Multi-Transformational Model for Background Subtraction with Moving Cameras. European Conference on Computer Vision. Switzerland. (September)

D. Zamalieva, A. Yilmaz and J. Davis. 2014. Exploiting Temporal Geometry for Moving Camera Background Subtraction. International Conf. on Pattern Recognition. Sweden. (August)

J. Jiang and A. Yilmaz. 2014. Persistent Feature Tracking Using Scene Geometry. Computer Vision and Image Understanding, Vol 120 p 141-156.


  • OSU Photogrammety
    Sep 10 2016 - 8:16am
    The race for a driverless taxi service is on https://t.co/R0uXVSPHD1
  • OSU Photogrammety
    Jun 9 2016 - 7:37am
    Philips' new location-aware Sonicare Connected toothbrush knows which teeth you're brushing https://t.co/mKq6Hhgkkm
  • OSU Photogrammety
    May 18 2016 - 9:26am
    Your brain does not process information and it is not a computer – Robert Epstein https://t.co/xiriD24B0d
  • OSU Photogrammety
    May 12 2016 - 9:50pm
    Google is giving away the tool it uses to understand language, Parsey McParseface https://t.co/yVSIX7lmQ3
  • OSU Photogrammety
    May 5 2016 - 7:28am
    IBM Just Made A Powerful Research Tool Available To Everyone For Free https://t.co/kVxB4HLjAX