LASOISPCVLab and its collaborators at UC Berkeley, MIT and NASA Glenn Research Center develop an astronaut navigation system for landed space missions. The system is consisted of multiple integrated sensors, including a stereo camera, IMU and step sensor,... | LEARN MORE
Aerial Photogrammetry SuitWith the support of Center for Surveilance, contortium of National Science Foundation, Airforce Research Labs and the Industry, PCVLab develops a Photogrametry suite to recover 3D scene from an aerial multihead camera-mount. The camera mount is consisted... | LEARN MORE
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
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)
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@osupcvJun 9 2016 - 7:37amPhilips' new location-aware Sonicare Connected toothbrush knows which teeth you're brushing https://t.co/mKq6Hhgkkm
OSU Photogrammety@osupcvMay 18 2016 - 9:26amYour brain does not process information and it is not a computer – Robert Epstein https://t.co/xiriD24B0d
OSU Photogrammety@osupcvMay 12 2016 - 9:50pmGoogle is giving away the tool it uses to understand language, Parsey McParseface https://t.co/yVSIX7lmQ3
OSU Photogrammety@osupcvMay 5 2016 - 7:28amIBM Just Made A Powerful Research Tool Available To Everyone For Free https://t.co/kVxB4HLjAX
OSU Photogrammety@osupcvMay 3 2016 - 6:47pm