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Detecting and tracking human faces and facial features (mouth, nose, eyes, eyebrows...) in images and videos enables numerous applications including character animation, Augmented Reality (Magic Mirror - virtual eyewear, headwear etc.), view-dependent rendering, view control in gaming, person tracking, facial expression analysis, market research etc. Various technologies are available and the choice depends on various factors:
Is it needed to detect just the location of the face or also (some of) the facial features such as mouth, nose, eyes, eyebrows?
Do we work with still images or video?
What return information is required: 2D image-coordinates or 3D coordinates?Is fully automatic operation a must or can some manual setup be traded for increased precision?
Performance requirements and target platform, e.g. PC, Web, mobile platforms, embedded systems.
visage|SDK™ VISION-D and VISION-T packages offer out-of-the-box solutions for common situations and allow extensive customization through a comprehensive set of well-documented user-configurable options. Furthermore, Visage Technologies consulting and custom development services let you leverage our expertise to provide custom solutions to your specific requirements
visage|SDK™ VISION-D package contains powerful techniques to find faces and facial features in still images in form of a well-documented C++ Software Development Kit.
The feature detector identifies the facial features in still images containing a human face. The image should contain a face in frontal pose and with a neutral expression. Most standard image formats such as JPEG, GIF etc. are supported for input images. The result is a full set of MPEG-4 facial features (lips countour, nose, eyes, eyebrows, hairline, chin, cheeks):
The average detection time is 1.1 seconds measured on an Intel Core Duo processor (T5500) running at 1.66Ghz. The minimal size of the input image is 150x180 pixels with 8 bits per pixel (grayscale image; color images are internally converted to grayscale)
visage|SDK™ contains a sample project with full source code demonstrating the usage of the VISION-D package to find facial features in images.
visage|SDK also includes powerfull technologies for head, eyes and facial features tracking in recorded or live video sequences. For full 3D head and facial features tracking, or for fully automatic, person-independent and very robust eye tracker with 3D head motion estimation, see VISION-T package.

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