Fast Combined Separability Filter for Detecting Circular Objects

Yasuhiro Ohkawa, Chendra Hadi Suryanto
2011 IAPR International Workshop on Machine Vision Applications  
In this paper, we propose a fast combined separability filter, which can selectively detect circular features such as pupils and nostrils in an image of the human face. The proposed filter is designed as a combination of multiple rectangle separability filters so that it can achieve high-speed processing and high positioning accuracy at the same time. The evaluation experiments using synthetic images and real face images show that the proposed filter is 70 times faster than the conventional circular separability filter.
dblp:conf/mva/OhkawaS11 fatcat:tia27jjmoff4jms55c5uhyh63a