Computer Vision, IEEE International Conference on (2011)
Nov. 6, 2011 to Nov. 13, 2011
Lin Gu , School of Engineering, Australian National University, Canberra ACT 0200, Australia
Cong Phuoc Huynh , NICTA y, Locked Bag 8001, Canberra ACT 2601, Australia
Antonio Robles-Kelly , NICTA y, Locked Bag 8001, Canberra ACT 2601, Australia
Jun Zhou , School of Engineering, Australian National University, Canberra ACT 0200, Australia
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.
C. P. Huynh, Lin Gu, A. Robles-Kelly and Jun Zhou, "Material-specific user colour profiles from imaging spectroscopy data," 2011 IEEE International Conference on Computer Vision (ICCV 2011)(ICCV), Barcelona, 2011, pp. 1987-1994.