Image and video for hearing impaired people
Journal on Image and Video Processing
Facial Feature Extraction Using Geometric Feature and Independent Component Analysis
Knowledge Acquisition: Approaches, Algorithms and Applications
Lip localization based on active shape model and gaussian mixture model
PSIVT'06 Proceedings of the First Pacific Rim conference on Advances in Image and Video Technology
Applying artificial neural networks for face recognition
Advances in Artificial Neural Systems
| Hi-index | 0.00 |
Automatic estimation of mouth features is one of the Important topics for face recognition and model-based coding of videophone sequences. In this contribution, an automatic mouth feature estimation algorithm which uses de-formable templates is developed. Here, the mouth features are represented by the comerpoints of the mouth as well as the so called lip outline parameters. The lip outline parameters describe the opening of the mouth and the thickness of the lips. Compared to previous works, simplified cost functions are introduced. Furthermore, an algorithm for automatic determination of whether the mouth is open or closed is developed. Experimental results obtained with typical videophone sequence are given to evaluate the performance of the proposed algorithm. It is shown that in about 37% of the images the mouth features could be automatically estimated, which can be used e.g. for improving face modelling in a model-based coder: