Proceedings of the Annual Conference of the Institute of Image Electronics Engineers of Japan
Online ISSN : 2436-4398
Print ISSN : 2436-4371
Proceedings of the 44th Annual Conference of the Institute of Image Electronics Engineers of Japan 2016
Session ID : S4-1
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Study on Accuracy Improvement of Cat Face Detection
*Yulong ZHANGYoungha CHANGNobuhiko MUKAI
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Abstract
We have experimented cat face detection by searching face components such as eye, nose and mouth for cat face candidate regions detected by a classifier constructed with Haar-like feature. In this paper, we describe how to improve the detection accuracy by increasing learning images with their rotation. As the result of the experiments, we have succeeded in detecting cat faces that have rotation, and the precision and the recall were 100% and 88%, respectively.
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© 2016 The Institute of Image Electronics Engineers of Japan
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