  The electrophysiological source imagine reconstruction is sensitive to the
head model construction, which depends on the accuracy of the anatomical
landmarks locations knowns as fiducials. This work describes how to perform
automatic fiducials detection, towards development of an application for
automatic electrodes placement (digitization), over a three-dimensional surface
of a subject head, scanned with the Occipital Inc. structure sensor ST01. We
offer a wide description of the proposed algorithm to explore the
three-dimensional object to features detection, by means of: dimensional
reduction with perspective projection from 3D to 2D, object detection with
custom detectors, robotic control of mouse motion and clicks events and
reprojection from 2D to 3D to get spatial coordinates. This is done taking into
account the characteristics of the scanner information, the training process of
detectors with Computer-Vision Toolbox resources of MATLAB R2018b, the
integration of FieldTrip Toolbox and the main properties of several ways to
represents pixels; putting together all those things to automatically find the
fiducials landmarks to generate the subject's coordinate system. All this
result is presented as the initial state of a project focused on developing one
application for automatic electrode digitization.
