8 June 2012 Effectiveness of Haar wavelet and grayscale features in different illumination for facial features detection
Author Affiliations +
Proceedings Volume 8334, Fourth International Conference on Digital Image Processing (ICDIP 2012); 833438 (2012) https://doi.org/10.1117/12.956492
Event: Fourth International Conference on Digital Image Processing (ICDIP 2012), 2012, Kuala Lumpur, Malaysia
Abstract
Wavelet is widely used in signal processing field. As the simplest wavelet framework, Haar wavelet is very popular due to its memory efficient, fast and easy to implement. Haar wavelet can be employed to process the image for further purpose like image compression. In this paper, the effectiveness of Haar wavelet and grayscale features are evaluated by employing template matching as the principle technique. Results show that Haar wavelet feature is more relevant in facial feature detection task as compared to grayscale feature.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Chee Yan Yeong, Shahrel Azmin Suandi, "Effectiveness of Haar wavelet and grayscale features in different illumination for facial features detection", Proc. SPIE 8334, Fourth International Conference on Digital Image Processing (ICDIP 2012), 833438 (8 June 2012); doi: 10.1117/12.956492; https://doi.org/10.1117/12.956492
PROCEEDINGS
5 PAGES


SHARE
Back to Top