title: Radiometric calibration by rank minimization.
abstract: We present a robust radiometric calibration framework that capitalizes on the transform invariant low-rank structure in the various types of observations, such as sensor irradiances recorded from a static scene with different exposure times, or linear structure of irradiance color mixtures around edges. We show that various radiometric calibration problems can be treated in a principled framework that uses a rank minimization approach. This framework provides a principled way of solving radiometric calibration problems in various settings. The proposed approach is evaluated using both simulation and real-world datasets and shows superior performance to previous approaches.
authors.affiliation: Department of Electrical Engineering, KAIST, #3210 Electrical Engineering Building (E3), 291 Daehak-ro, Yuseong-gu, Daejeon 305-701, Korea. jylee@rcv.kaist.ac.kr
authors.forename: Joon-Young
authors.initials: JY
authors.lastname: Lee
authors.forename: Yasuyuki
authors.initials: Y
authors.lastname: Matsushita
authors.forename: Boxin
authors.initials: B
authors.lastname: Shi
authors.forename: In So
authors.initials: IS
authors.lastname: Kweon
authors.forename: Katsushi
authors.initials: K
authors.lastname: Ikeuchi
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D002138:Calibration; D008027:Light; D010363:Pattern Recognition, Automated / Q000379:methods*; D010783:Photometry / Q000379:methods*