Machine Learning Models to Predict Visual Color Difference of Fluorescent Objects under Various Illumination Conditions.
Hung-Chung LiPei-Li SunWei-Chih SuHung-Shing ChenChia-Pin ChuehYennun HuangPublished in: ICCE-TW (2020)
Keyphrases
- illumination conditions
- machine learning models
- partial occlusion
- viewpoint
- lighting conditions
- light source
- face recognition
- spam filtering
- color difference
- machine learning algorithms
- wide range
- visual information
- d objects
- higher order
- video sequences
- object classes
- object segmentation
- single image
- machine learning
- moving objects
- training data
- computer vision