|
Web
Education
Viewing 1-3 of 3 total results
Independent components analysis-based nose detection method
The method adopt Independent Components Analysis (ICA) as a subspace classifier to classify the face candidate region to nose or non nose. The ICA basis vectors are estimated by the FastICA algorithm. The training has been done using features of nose appearance and shape characterized by the edge information.
A Robust Method for Nose Detection under Various ...
It depends on the local appearance and shape of nose region characterized by edge information. Independent Components Analysis (ICA) is used to learn the appearance of nose. We show experimentally that using edge information for characterizing appearance and shape outperforms using intensity information....
Sample gallery - Accord.NET Machine Learning in C#
Independent component analysis for blind source separation. Download the application; ... Learning and recognition of mouse gestures using hidden Markov model-based classifiers and Hidden Conditional Random Fields. ... Face detection using the Face detection based in Haar-like rectangular features method often known as the Viola-Jones method....
|
