TY - GEN
T1 - Material-specific user colour profiles from imaging spectroscopy data
AU - Gu, Lin
AU - Huynh, Cong Phuoc
AU - Robles-Kelly, Antonio
AU - Zhou, Jun
PY - 2011
Y1 - 2011
N2 - In this paper, we present a method which permits the creation of user colour preferences for object materials and lights in the scene making use of imaging spectroscopy data. To do this, we build upon the heterogeneous nature of the scene by imposing consistency over object materials so as to allow for small compositional variations across objects in the image. Once the consistency has been imposed, we aim at maximising the quality of the images under consideration based upon user input. This provides the flexibility necessary to utilise user profiles for the automatic processing of real world imagery while avoiding undesirable effects encountered when colour images are produced. We provide results on real-world imagery and illustrate how the method can be used to produce material-specific colours based upon user input.
AB - In this paper, we present a method which permits the creation of user colour preferences for object materials and lights in the scene making use of imaging spectroscopy data. To do this, we build upon the heterogeneous nature of the scene by imposing consistency over object materials so as to allow for small compositional variations across objects in the image. Once the consistency has been imposed, we aim at maximising the quality of the images under consideration based upon user input. This provides the flexibility necessary to utilise user profiles for the automatic processing of real world imagery while avoiding undesirable effects encountered when colour images are produced. We provide results on real-world imagery and illustrate how the method can be used to produce material-specific colours based upon user input.
UR - http://www.scopus.com/inward/record.url?scp=84863022436&partnerID=8YFLogxK
U2 - 10.1109/ICCV.2011.6126470
DO - 10.1109/ICCV.2011.6126470
M3 - Conference contribution
SN - 9781457711015
T3 - Proceedings of the IEEE International Conference on Computer Vision
SP - 1987
EP - 1994
BT - 2011 International Conference on Computer Vision, ICCV 2011
T2 - 2011 IEEE International Conference on Computer Vision, ICCV 2011
Y2 - 6 November 2011 through 13 November 2011
ER -