User:Cristinac/Day4
Day four
Deconstructing Harry
Guttorm Guttormsgaard
Asger Jorn
metadata of information; data gallery; average colour of the image, timestamp, face recognition, average colour data, what could a photo gallery mean?
Gaussian blur (many image treatments begin with)
derivates
http://programmingcomputervision.com/
a gradient has a magnitude and a direction (like a vector)
Search By Image - Sebastian Schmieg
Control detection
contours that are detected are not continuous, but they are fragments and there is an extra step that determines what kind of fragments got together and create an extra step
Volterra Kernel Training/Identification System
http://www.sciencedirect.com/science/article/pii/S0952197612002461
statistical, not logical model of the face
behind the algorithm is a manual work that is done by people repeatedly
every detail of the face is annotated
labour conditions
Training data to feed the classifier : no image exists in isolation
False positive : images that have been selected as containing a face when they don’t
https://en.wikipedia.org/wiki/Ghostwriter
cvdazzle.com - techniques to avoid face detection
the same algorithm can be fed with any kind of statistical data; ex: banana recognition
sort by face
http://www.cise.ufl.edu/~arunava/papers/cvpr09.pdf
https://en.wikipedia.org/wiki/Volterra_series
CSV-no space for metadata, no authorship information
frictionless data http://centraldedados.pt/
adding “I think” at the end of every paragraph
iPython