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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