Director's Note
Welcome to PCVLab. We are located in Bolz Hall Suite 233. Our facility has a sensor calibration room and state of the art workstations with GPUs for deep learning studies. The research conducted at this lab focuses on:
- Deep learning for multidimensional multi physics data,
- Navigation and positioning,
- Scene understansing from image sequences,
- 3D recovery using sensor fusion.
Announcements
-
OSU Photogrammety
@osupcv
NIST Open Media Forensics Challenge https://mfc.nist.gov/ is an open evaluation to promote development of AI-based systems that can automatically detect and locate manipulations and deep-fakes in images and videos worldwide
-
OSU Photogrammety
@osupcv
-
OSU Photogrammety @osupcv
An Interview With Jason Hartman
-
OSU Photogrammety
@osupcv
https://www.pobonline.com/articles/102100-tag-technology-helps-map-the-unmappable â¦
-
OSU Photogrammety @osupcv
The next era of exploration requires a more advanced positioning technology that may be based on tagging.
-
OSU Photogrammety
@osupcv
New algorithm provides 50 times faster Deep Learning https://www.futuretimeline.net/blog/2020/11/12-deep-learning-future-timeline-algorithm.htm#.X66njuohUfY.twitter â¦
-
OSU Photogrammety @osupcv
Using algorithms derived from neuroscience, AI research company Numenta has achieved a dramatic performance improvement in deep learning networks, without any loss in accuracy.