Radiometric Calibration by Rank Minimization

Cited 20 time in webofscience Cited 0 time in scopus
  • Hit : 225
  • Download : 0
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.
Publisher
IEEE COMPUTER SOC
Issue Date
2013-01
Language
English
Article Type
Article
Keywords

CAMERA RESPONSE FUNCTIONS; IMAGE; EXPOSURES; MOTION; SPACE

Citation

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, v.35, no.1, pp.144 - 156

ISSN
0162-8828
DOI
10.1109/TPAMI.2012.66
URI
http://hdl.handle.net/10203/103369
Appears in Collection
EE-Journal Papers(저널논문)
Files in This Item
There are no files associated with this item.
This item is cited by other documents in WoS
⊙ Detail Information in WoSⓡ Click to see webofscience_button
⊙ Cited 20 items in WoS Click to see citing articles in records_button

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0