Face recognition database download
Face recognition database download. The database is available to universities and research centers interested in face detection, face recognition, face synthesis, etc. The UMB-DB has been acquired with a particular focus on facial occlusions, i.e. scarves, hats, hands, eyeglasses and other types of occlusion wich can occur in real-world scenarios. This code uses a technique originally developed for facial recognition to describe shear stress distributions in open channel flow. In this approach, a synthetic database of images representing normalized shear stress distributions is formed from the training data set using recurrence plot analysis. · Download Face Recognition for free. World's simplest facial recognition api for Python & the command line. Face Recognition is the world's simplest face recognition library. It allows you to recognize and manipulate faces from Python or from the command line using dlib's (a C++ toolkit containing machine learning algorithms and tools) state-of-the-art face recognition built Operating System: Linux, Mac. The Bosphorus Database is intended for research on 3D and 2D human face processing tasks including expression recognition, facial action unit detection, facial action unit intensity estimation, face recognition under adverse conditions, deformable face modeling, and 3D face reconstruction. There are subjects and faces in the database. · Gary B. Huang, Manu Ramesh, Tamara Berg, and Erik Learned-Miller. Labeled Faces in the Wild: A Database for Studying Face Recognition in Unconstrained Environments. University of Massachusetts, Amherst, Technical Report , October, Available: Free download from website. If you are looking for a multi-platform face recognition software; Luxand FaceSDK is the best software that will meet all your needs. With automatic camera specific real-time alerts, this software finds use with your desktop, mobile and web applications. Luxand adheres to recognition for security based on the entire face and other facial features. Our Database of Faces, (formerly 'The ORL Database of Faces'), contains a set of face images taken between April and April at the lab. The database was used in the context of a face recognition project carried out in collaboration with the Speech, Vision and Robotics Group of the Cambridge University Engineering Department. For anyone else seeking a database of face stimuli, I have combed through all of the resources listed here in addition to numerous other sources in order to construct the Face Image Meta-Database.
face recognition database download