Title :
New robust Hausdorff distance-based face detection
Author :
Srisuk, Sanun ; Kuratach, W.
Author_Institution :
Adv. Machine Intelligence Res. Lab. (AMIRL), Mahanakorn Univ. of Technol., Bangkok, Thailand
fDate :
6/23/1905 12:00:00 AM
Abstract :
This paper proposes a novel approach for robust face detection based on our enhanced Hausdorff distance (HD). A major aim of this research is to achieve a highly efficient method in face detection that can be used in real-time applications. In our approach, a technique to automatically determine an appropriate size of an elliptical model is also introduced. Therefore, there is no requirement for an expert user to intervene in the process. In addition, the enhanced HD proposed in our method consumes much less computation time but provides higher efficiency and more reliability than the conventional HD
Keywords :
artificial intelligence; face recognition; image representation; real-time systems; AI; efficiency; elliptical model; enhanced Hausdorff distance; real time applications; reliability; robust face detection; Artificial intelligence; Face detection; High definition video; Humans; Image edge detection; Laboratories; Machine intelligence; Object detection; Robustness; Velocity measurement;
Conference_Titel :
Image Processing, 2001. Proceedings. 2001 International Conference on
Conference_Location :
Thessaloniki
Print_ISBN :
0-7803-6725-1
DOI :
10.1109/ICIP.2001.959222