As interest in 3D face recognition increases the importance of the initial alignment problem does as well. In this paper we present a method utilizing the registered 2D color and range image of a face to automatically identify the eyes, nose, and mouth. These features are important to initially align faces in both standard 2D and 3D face recognition algorithms. For our algorithm to run as fast as possible, we focus on the 2D color information. This allows the algorithm to run in approximately 4 seconds on a 640X480 image with registered range data. On a database of 1,500 images the algorithm achieved a facial feature detection rate of 99.6% with 0.4% of the images skipped due to hair obstruction of the face.
A Fast Multi-Modal Approach to Facial Feature Detection
2005-01-01
310109 byte
Conference paper
Electronic Resource
English
FACIAL FEATURE DETECTION APPARATUS AND FACIAL FEATURE DETECTION METHOD
European Patent Office | 2020
|Multi-modal emotion analysis from facial expressions and electroencephalogram
British Library Online Contents | 2016
|Local circular patterns for multi-modal facial gender and ethnicity classification
British Library Online Contents | 2014
|