TY - GEN
T1 - Light invariant video camera - Making faces appear the same under any light conditions
AU - Kolaman, Amir
AU - Hagege, Rami
AU - Guterman, Hugo
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2017/1/4
Y1 - 2017/1/4
N2 - Object appearance can change dramatically from one image to another. One of the main reasons for this is light variations. We created a video camera that is invariant to light conditions. Light condition can change in color, orientation or pattern. The system is based on principles from radio communication which is able to separates one station from the other. In a similar manner we modulate light intensity in time, and its influence on the scene is separated from other light sources using a match filter. The modulated light source is completely independent and is not synchronized with the camera. This simplifies the system considerably and enables shadow free objects with constant color. Therefore objects will always appear the same under any light conditions. This has the potential to improve performance of many machine vision algorithms. We demonstrate this by showing a performance improvement on commercially available face recognition system.
AB - Object appearance can change dramatically from one image to another. One of the main reasons for this is light variations. We created a video camera that is invariant to light conditions. Light condition can change in color, orientation or pattern. The system is based on principles from radio communication which is able to separates one station from the other. In a similar manner we modulate light intensity in time, and its influence on the scene is separated from other light sources using a match filter. The modulated light source is completely independent and is not synchronized with the camera. This simplifies the system considerably and enables shadow free objects with constant color. Therefore objects will always appear the same under any light conditions. This has the potential to improve performance of many machine vision algorithms. We demonstrate this by showing a performance improvement on commercially available face recognition system.
UR - http://www.scopus.com/inward/record.url?scp=85014242820&partnerID=8YFLogxK
U2 - 10.1109/ICSEE.2016.7806080
DO - 10.1109/ICSEE.2016.7806080
M3 - Conference contribution
AN - SCOPUS:85014242820
T3 - 2016 IEEE International Conference on the Science of Electrical Engineering, ICSEE 2016
BT - 2016 IEEE International Conference on the Science of Electrical Engineering, ICSEE 2016
PB - Institute of Electrical and Electronics Engineers
T2 - 2016 IEEE International Conference on the Science of Electrical Engineering, ICSEE 2016
Y2 - 16 November 2016 through 18 November 2016
ER -