Search Results for "facial"

...The library also offers synthetic streams (point cloud, depth aligned to color and vise-versa), and built-in support for recording and playback of streaming sessions. Intel has EOLed the LiDAR, Facial Authentication, and Tracking product lines. These products have been discontinued and will no longer be available for new orders. Intel WILL continue to sell and support stereo products including the following: D410, D415, D430, , D401 ,D450 modules and D415, D435, D435i, D435f, D405, D455, D457 depth cameras. We will also continue the work to support and develop our LibRealSense open source SDK.

Mouse replacement software that moves the pointer as you move your head. It works on standard PCs equipped with a web camera. No additional hardware is required. Based on the award winning Facial Mouse software. For Linux and Windows systems.

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.

...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 in to user accounts. The Viola - Jones Algorithm presents a novel face detection technique, we would implement this technique for face detection and then use eigen faces method to recognize the person in the image. ...

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

SediStat is simple command line aplication for automatization of statistical calculations used in facial analysis of deep water sediments. In actual version are incorporated methods of R/S analysis and Markov chains computations.

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

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.

EBBA is a project aiming to develop an advanced chatbot by combining AIML, 3d facial expressions, speech synthesizer, speech recognition and an iq-test solving functionality.

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.

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.