Image Analysis for Marker-less Facial Tracking

Image Analysis for Marker-less Facial Tracking

Robust Face and Facial Feature Tracking Using AFM, AAA, VbTM and Post-processing

LAP Lambert Academic Publishing ( 2010-08-26 )

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Tracking of facial features is increasingly used in game and film industry as well as for other applications. Most tracking systems are currently using markers which unfortunately are tedious and cumbersome. Marker-less facial tracking is supposed to eliminate the disadvantages of the marker-based approaches. This literature investigates different algorithms for marker-less tracking and presents how to apply them in a robust way. View-based and component sensitive normalized face images can achieve accurate tracking results based on the Active Appearance Algorithm. Post processing the parameters of global motions of the model smoothes the synthesized video sequence. Tacking results for faces and a tool developed for creating training images are also presented.

Book Details:

ISBN-13:

978-3-8383-3911-5

ISBN-10:

3838339118

EAN:

9783838339115

Book language:

English

By (author) :

Wenlan Yang

Number of pages:

64

Published on:

2010-08-26

Category:

Informatics, IT