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Wavelet transform based facial feature points detection | IEEE Conference Publication | IEEE Xplore

Wavelet transform based facial feature points detection


Abstract:

In this paper, we focus our attention on the detection and tracking feature points algorithm for video sequence environment. For face image extraction, modified face dete...Show More

Abstract:

In this paper, we focus our attention on the detection and tracking feature points algorithm for video sequence environment. For face image extraction, modified face detector based on Haar-like features is used. For feature points detection, we develop a new method based on the wavelet decomposition. For more accuracy, good features can be identified using Shi and Thomasi alogorithm around the detected points. Pyramidal Lucas-Kanade algorithm is used to track those points. Results show that our method extracts facial features points from video's sequence with a good accuracy.
Date of Conference: 28-31 March 2017
Date Added to IEEE Xplore: 07 December 2017
ISBN Information:
Electronic ISSN: 2474-0446
Conference Location: Marrakech, Morocco

References

References is not available for this document.