Material-specific user colour profiles from imaging spectroscopy data
-
Altmetric Citations
Gu, Lin; Huynh, Cong Phuoc; Robles-Kelly, Antonio; Zhou, Jun
Description
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...[Show more]
dc.contributor.author | Gu, Lin | |
---|---|---|
dc.contributor.author | Huynh, Cong Phuoc | |
dc.contributor.author | Robles-Kelly, Antonio | |
dc.contributor.author | Zhou, Jun | |
dc.coverage.spatial | Barcelona Spain | |
dc.date.accessioned | 2015-12-10T23:13:46Z | |
dc.date.created | November 6-13 2011 | |
dc.identifier.isbn | 9781467300629 | |
dc.identifier.uri | http://hdl.handle.net/1885/64577 | |
dc.description.abstract | 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. | |
dc.publisher | IEEE Computer Society | |
dc.relation.ispartofseries | IEEE International Conference on Computer Vision (ICCV 2011) | |
dc.source | Proceedings of IEEE International Conference on Computer Vision (ICCV 2011) | |
dc.subject | Keywords: Automatic processing; Colour image; Compositional variation; Imaging spectroscopy; Undesirable effects; User input; User profile; Image processing; Color | |
dc.title | Material-specific user colour profiles from imaging spectroscopy data | |
dc.type | Conference paper | |
local.description.notes | Imported from ARIES | |
local.description.refereed | Yes | |
dc.date.issued | 2011 | |
local.identifier.absfor | 080104 - Computer Vision | |
local.identifier.ariespublication | u4334215xPUB963 | |
local.type.status | Published Version | |
local.contributor.affiliation | Gu, Lin, College of Engineering and Computer Science, ANU | |
local.contributor.affiliation | Huynh, Cong Phuoc, NICTA | |
local.contributor.affiliation | Robles-Kelly, Antonio, College of Engineering and Computer Science, ANU | |
local.contributor.affiliation | Zhou, Jun, College of Engineering and Computer Science, ANU | |
local.description.embargo | 2037-12-31 | |
local.bibliographicCitation.startpage | 1987 | |
local.bibliographicCitation.lastpage | 1994 | |
local.identifier.doi | 10.1109/ICCV.2011.6126470 | |
local.identifier.absseo | 970108 - Expanding Knowledge in the Information and Computing Sciences | |
local.identifier.absseo | 970109 - Expanding Knowledge in Engineering | |
dc.date.updated | 2016-02-24T11:04:42Z | |
local.identifier.scopusID | 2-s2.0-84863022436 | |
Collections | ANU Research Publications |
Download
File | Description | Size | Format | Image |
---|---|---|---|---|
01_Gu_Material-specific_user_colour_2011.pdf | 633.21 kB | Adobe PDF | Request a copy |
Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.
Updated: 17 November 2022/ Responsible Officer: University Librarian/ Page Contact: Library Systems & Web Coordinator