Castor and Sean is an experiment in OpenCV-based face matching.
Face matching is a relaxed form of face recognition: it will always recognize a face as someone from the database.
castor is a command line tool for face database preprocesing.
castor uses OpenCV (and boost and gflags)
Usage:
castor DATABASE [--mode=MODE] [MODE SPECIFIC SWITCHES]
the DATABASE is just a directory tree. Inside the top directory
different operation modes create or expect to find different
subdirectories.
MODE is an operation that castor will perform. Default mode is import.
This mode expects DATABASE/new to contain incoming images. Castor
will try to find faces in the images and cut them out, convert to
greyscale, stretch contrast and store the cutout face in
DATABASE/seed.
This mode performs Principal Component Analysis on faces from
DATABASE/seed. The result is a set of eigenfaces stored in
DATABASE/eigen. The image files in eigen are for demonstration only,
they are postprocessed and lost some precision. The actual result of PCA
is in the file DATABASE/eigen/pca.yml.
This mode projects faces found in DATABASE/seed into eigenspace and
stores the results in DATABASE/projection/projection.yml. This file
contains a list of filenames and a matrix with the results of projection
(one projected vector per row).
Sean is a visualisation of the faces projection in 3-dimensional space of three random eigenvectors. Sean looks for faces in a webcam feed and if found projects them into eigenspace.
Sean uses cinder (and hence has to be 32-bit) and the 32-bit versions of opencv and boost that come with cinder. At the moment sean is mac only (windows port would require slight adjustment of the resources handling and the build system).