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Rotated haar-like features for face detection with in-plane rotation

  • Xi'an Jiaotong University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

25 Scopus citations

Abstract

This paper extends the upright face detection framework proposed by Viola et al. 2001 to handle in-plane rotated faces. These haar-like features work inefficiently on rotated faces, so this paper proposes a new set of ±26.565° haar-like features which can be calculated quickly to represent the features of rotated faces. Unlike previous face detection techniques in training quantities of samples to build different rotated detectors, with these new features, we address to build different rotated detectors by rotating an upright face detector directly so as to achieve in-plane rotated face detection. This approach is selected because of its computational efficiency, simplicity and training time saving. This proposed method is tested on CMU-MIT rotated test data and yields good results in accuracy and maintains speed advantage.

Original languageEnglish
Title of host publicationInteractive Technologies and Sociotechnical Systems - 12th International Conference, VSMM 2006, Proceedings
PublisherSpringer Verlag
Pages128-137
Number of pages10
ISBN (Print)3540463046, 9783540463047
DOIs
StatePublished - 2006
Event12th International Conference on Virtual Systems and Multimedia, VSMM 2006 - Xi'an, China
Duration: 18 Oct 200620 Oct 2006

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4270 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference12th International Conference on Virtual Systems and Multimedia, VSMM 2006
Country/TerritoryChina
CityXi'an
Period18/10/0620/10/06

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