Search Results for "face emotion recognition"

Research on automatic face recognition in images has rapidly developed into several inter-related lines, and this research has both lead to and been driven by a disparate and expanding set of commercial applications. The large number of research activities is evident in the growing number of scientific communications published on subjects related to face processing and recognition. Index Terms: face, recognition, eigenfaces, eigenvalues, eigenvectors, Karhunen-Loeve algorithm.

Face detection can be regarded as a more general case of face localization. In face localization, the task is to find the locations and sizes of a known number of faces (usually one). In face detection, one does not have this additional information. Face detection is mostly used along with facial recognition feature to extract faces out of an image or video feed and identify the faces against a set of stored images. This feature can be used for tracking prisoners, attendance and signing...

A simple Face detection program using JavaCV and OpenCV . Implementing facial feature extraction and face recognition.

openEAR is the Munich Open-Source Emotion and Affect Recognition Toolkit developed at the Technische Universität München (TUM). It provides efficient (audio) feature extraction algorithms implemented in C++, classfiers, and pre-trained models on well-known emotion databases. It is now maintained and supported by audEERING. Updates will follow soon.

Active Shape/Appearance Model Library (ASMLibrary/AAMLibrary) source code, which includes ASMBuilding/AAMBuilding as well as ASMFitting/AAMFitting algorithm. It is developped under OpenCV 1.0 for locating features in a face and face recognition.

Java framework for face detection and face recognition based on different plugin and filter types. Includes Eigenfaces in pure Java, OpenCV detection via JNI, integration of the Betaface.com Web Service, skin color filter, Adobe XMP Export and a nice GUI

FaceTracker is a webcam-based system for the recognition of face movement around various angles as well as translation of the face. It is intended to be used under Linux OS. Currently, pan angles can be detected up to 45 degrees.

The Human Body Project allows computers to better understand and interact with people. Using a webcam the system can detect and recognise individuals (face recognition), identify their gaze direction, facial expressions and upper body postures.

The development of a biometric system and applications e.g. Access Control based on the system to recognize and verify people. The primary goal is face recognition, but other human attributes might get used too in the future.

The thesis titled "On the Recognition of Emotion from Physiological Data" This thesis was submitted by Warren Creemers In Partial Fulfillment of the Requirements for the award of Doctor of Philosophy, (Computer Science) and is currently under examination. Warren Creemers completed this work at the Faculty of Communications, Health and Science - Edith Cowan University in February, 2013.

WHAY is a Video-based Face Recognition tool written in MATLAB. It aims to exploits PCA recognizing as better as possible and tests the limits of this approach.