Information Science and
Computational Imaging Lab
Our research focuses on two core areas: computational imaging and information science. In particular, our key goal is to conceive of next-generation imaging systems that optimally combine advances in hardware and software. Our approach is to exploit insights gained through fundamental characterizations of the amount of information captured by (or flowing through) such systems.
The ISCI Lab is led by: John Murray-Bruce
NLOS imaging with ordinary cameras.
This research explores how subtle variations of penumbrae in a single, brief snapshot of a diffuse surface obtained using a consumer digital camera can enable imaging of non-line-of-sight scenes.
Manuscript published in Nature Communications
February 2024
Robinson
's work that creatively turns regular door frames into carmeras for NLOS imaging appeared in
Nature communications
. Excellent work, Robinson!
Two Manuscripts Accepted to ICASSP 2024 in Seoul
December 2023
Raji and Robinson each had a manuscript accepted to IEEE Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP) 2024. They'll be presenting their work in Seoul, South Korea. Congrats to them both.
Keval joins ISCI Lab
September 2023
Keval Kataria , recent USF math graduate joins ISCI group. Keval also received the University Graduate Research Fellowship. Welcome and congratulations to Keval.
We were on TV
February/March 2024
We were in the local Tampa bay broadcast news for our work on
exploiting doorways for 3D imaging without line of sight. Robinson is famous! Watch the coverages by:
Online press coverage
February/March 2024
Several online news outlets covered our work. Read more about the work in these articles:
Fall of 2023, 2022, 2021, 2020
CIS 4250: Ethical issues and professional conduct for computer scientists.
Spring of 2023, 2022, 2021, 2020
CIS 6930 & CIS 4930: Computational methods for imaging and vision.
This site was created with the Nicepage