TY - GEN
T1 - In situ target-less calibration of turbid media
AU - Spier, Ori
AU - Treibitz, Tali
AU - Gilboa, Guy
N1 - Publisher Copyright: © 2017 IEEE.
PY - 2017/6/16
Y1 - 2017/6/16
N2 - The color of an object imaged in a turbid medium varies with distance and medium properties, deeming color an unstable source of information. Assuming 3D scene structure has become relatively easy to estimate, the main challenge in color recovery is calibrating medium properties in situ, at the time of acquisition. Existing attenuation calibration methods use either color charts, external hardware, or multiple images of an object. Here we show none of these is needed for calibration. We suggest a method for estimating the medium properties (both attenuation and scattering) using only images of backscattered light from the system's light sources. This is advantageous in turbid media where the object signal is noisy, and also alleviates the need for correspondence matching, which can be difficult in high turbidity. We demonstrate the advantages of our method through simulations and in a real-life experiment at sea.
AB - The color of an object imaged in a turbid medium varies with distance and medium properties, deeming color an unstable source of information. Assuming 3D scene structure has become relatively easy to estimate, the main challenge in color recovery is calibrating medium properties in situ, at the time of acquisition. Existing attenuation calibration methods use either color charts, external hardware, or multiple images of an object. Here we show none of these is needed for calibration. We suggest a method for estimating the medium properties (both attenuation and scattering) using only images of backscattered light from the system's light sources. This is advantageous in turbid media where the object signal is noisy, and also alleviates the need for correspondence matching, which can be difficult in high turbidity. We demonstrate the advantages of our method through simulations and in a real-life experiment at sea.
UR - http://www.scopus.com/inward/record.url?scp=85025445677&partnerID=8YFLogxK
U2 - https://doi.org/10.1109/ICCPHOT.2017.7951491
DO - https://doi.org/10.1109/ICCPHOT.2017.7951491
M3 - منشور من مؤتمر
T3 - 2017 IEEE International Conference on Computational Photography, ICCP 2017 - Proceedings
BT - 2017 IEEE International Conference on Computational Photography, ICCP 2017 - Proceedings
T2 - 2017 IEEE International Conference on Computational Photography, ICCP 2017
Y2 - 12 May 2017 through 14 May 2017
ER -