Histogram of the oriented gradient for face recognition
Top Cited Papers
- 1 April 2011
- journal article
- Published by Tsinghua University Press in Tsinghua Science and Technology
- Vol. 16 (2), 216-224
- https://doi.org/10.1016/s1007-0214(11)70032-3
Abstract
The histogram of oriented gradient has been successfully applied in many research fields with excellent performance especially in pedestrian detection.However,the method has rarely been applied to face recognition.Aimed to develop a fast and efficient new feature for face recognition,the original HOG and its variations were applied to evaluate the effects of different factors.An information theory-based criterion was also developed to evaluate the potential classification power of different features.Comparative experiments show that even with a relatively simple feature descriptor,the proposed HOG feature achieves almost the same recognition rate with much lower computational time than the widely used Gabor feature on the FRGC and CAS-PEAL databases.Keywords
This publication has 13 references indexed in Scilit:
- Face Recognition with Local Binary PatternsLecture Notes in Computer Science, 2004
- Face recognitionACM Computing Surveys, 2003
- Shape matching and object recognition using shape contextsIEEE Transactions on Pattern Analysis and Machine Intelligence, 2002
- Object recognition from local scale-invariant featuresPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1999
- Face recognition by elastic bunch graph matchingIEEE Transactions on Pattern Analysis and Machine Intelligence, 1997
- Eigenfaces vs. Fisherfaces: recognition using class specific linear projectionIEEE Transactions on Pattern Analysis and Machine Intelligence, 1997
- Distortion invariant object recognition in the dynamic link architectureInternational Conference on Acoustics, Speech, and Signal Processing (ICASSP), 1993
- The design and use of steerable filtersIEEE Transactions on Pattern Analysis and Machine Intelligence, 1991
- Eigenfaces for RecognitionJournal of Cognitive Neuroscience, 1991
- In search of a general picture processing operatorComputer Graphics and Image Processing, 1978