A novel algorithm for color constancy
International Journal of Computer Vision
Recognition by Linear Combinations of Models
IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part I
Geometry and photometry in three-dimensional visual recognition
Geometry and photometry in three-dimensional visual recognition
Three-dimensional computer vision: a geometric viewpoint
Three-dimensional computer vision: a geometric viewpoint
Deriving stopping rules for the probabilistic Hough transform by sequential analysis
Computer Vision and Image Understanding
The Generic Bilinear Calibration-Estimation Problem
International Journal of Computer Vision
Learning bilinear models for two-factor problems in vision.
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Color constancy in diagonal chromaticity space
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Bayesian decision theory, the maximum local mass estimate, and color constancy
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
The study of 3D-from-2D using elimination
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Color constancy from physical principles
Pattern Recognition Letters - Special issue: Colour image processing and analysis
Color Subspaces as Photometric Invariants
International Journal of Computer Vision
Image and Vision Computing
A supervised combination strategy for illumination chromaticity estimation
ACM Transactions on Applied Perception (TAP)
A new color constancy algorithm based on the histogram of feasible mappings
ICIAR'05 Proceedings of the Second international conference on Image Analysis and Recognition
Relaxed grey-world: computational colour constancy by surface matching
IbPRIA'05 Proceedings of the Second Iberian conference on Pattern Recognition and Image Analysis - Volume Part I
Illuminant estimation from projections on the planckian locus
ECCV'12 Proceedings of the 12th international conference on Computer Vision - Volume 2
| Hi-index | 0.14 |
A geometric-vision approach to color constancy and illuminant estimation is presented in this paper. We show a general framework, based on ideas from the generalized probabilistic Hough transform, to estimate the illuminant and reflectance of natural images. Each image pixel 驴votes驴 for possible illuminants and the estimation is based on cumulative votes. The framework is natural for the introduction of physical constraints in the color constancy problem. We show the relationship of this work to previous algorithms for color constancy and present examples.