Calculate camera coordinates for candidate.
Load parameters in project launch file.
Save grayscale and color version of images.
Calculate histogram of training image.
Put number of bins for histogram in config file.
Implement color histogram matching.
Improve transformation from 3D to image position.
Only match regions around object candidates.
Normalize histogram before comparing it.
The color error now influences the object recognition.
Write object candidate module in object oriented way.