The Hyperbolic Geometry of Illumination-Induced Chromaticity Changes
2007 (English)In: IEEE Conference on Computer Vision and Pattern Recognition, CVPR '07., IEEE Computer Society, 2007, 1-6 p.Conference paper (Refereed)
The non-negativity of color signals implies that they span a conical space with a hyperbolic geometry. We use perspective projections to separate intensity from chromaticity, and for 3-D color descriptors the chromatic properties are represented by points on the unit disk. Descriptors derived from the same object point but under different imaging conditions can be joined by a hyperbolic geodesic. The properties of this model are investigated using multichannel images of natural scenes and black body illuminants of different temperatures. We show, over a series of static scenes with different illuminants, how illumination changes influence the hyperbolic distances and the geodesics. Descriptors derived from conventional RGB images are also addressed.
Place, publisher, year, edition, pages
IEEE Computer Society, 2007. 1-6 p.
, IEEE Conference on Computer Vision and Pattern Recognition. Proceedings, ISSN 1063-6919
Engineering and Technology
IdentifiersURN: urn:nbn:se:liu:diva-38247DOI: 10.1109/CVPR.2007.383212ISI: 000250382803056Local ID: 43105ISBN: 1-4244-1179-3 (print)ISBN: 1-4244-1180-7 (e-ISBN)OAI: oai:DiVA.org:liu-38247DiVA: diva2:259096
IEEE Conference on Computer Vision and Pattern Recognition, CVPR '07, Minneapolis, MN, USA, 17-22 June 2007