Object Recognition Under Various Illumination – 9a.014.SBU

Project Start Date: Aug 1, 2020
Research Areas: Analytics, Visualization
Funding: Member Funded
Project Tags: ,

Project Summary

We solve the joint estimation using graphical models and novel shadow cues (e.g., bright channel). We further develop our method so as to be able to perform inference on not only illumination and cast shadows but also on the scene’s geometry, thus refining the initial rough geometrical model. We investigate methods for single image shadow detection based on learning the appearance of shadows from labelled datasets. We take advantage of domain knowledge in illumination and image formation for feature design, as well as extensive use of machine learning techniques, such as graphical models (MRFs, CRFs) and classifiers (SVMs).


Principal Investigator(s)