The Hyperbolic Geometry of Illumination-Induced Chromaticity Changes

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 t...

Full description

Saved in:
Bibliographic Details
Published in2007 IEEE Conference on Computer Vision and Pattern Recognition pp. 1 - 6
Main Authors Lenz, R., Latorre Carmona, P., Meer, P.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.06.2007
SeriesIEEE Conference on Computer Vision and Pattern Recognition. Proceedings
Subjects
Cameras
Color
Computational geometry
Image processing
Layout
Lighting
Reflection
Signal processing
Space technology
TECHNOLOGY
TEKNIKVETENSKAP
Temperature
Online AccessGet full text
ISBN9781424411795
1424411793
1424411807
9781424411801
ISSN1063-6919
1063-6919
DOI10.1109/CVPR.2007.383212

Cover

More Information
Summary: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.
ISBN:9781424411795
1424411793
1424411807
9781424411801
ISSN:1063-6919
1063-6919
DOI:10.1109/CVPR.2007.383212