The JPEG still picture compression standard
Communications of the ACM - Special issue on digital multimedia systems
The FERET Evaluation Methodology for Face-Recognition Algorithms
IEEE Transactions on Pattern Analysis and Machine Intelligence
Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection
ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume I - Volume I
Face recognition: A literature survey
ACM Computing Surveys (CSUR)
Journal of Cognitive Neuroscience
The JPEG2000 still image coding system: an overview
IEEE Transactions on Consumer Electronics
Face recognition by independent component analysis
IEEE Transactions on Neural Networks
Face recognition in JPEG and JPEG2000 compressed domain
Image and Vision Computing
Face detection in resource constrained wireless systems
Mobile Multimedia Processing
Comparison of compression algorithms' impact on Iris recognition accuracy
ICB'07 Proceedings of the 2007 international conference on Advances in Biometrics
Hi-index | 0.00 |
In this paper we analyse the effects that JPEG and JPEG2000 compression have on subspace appearance-based face recognition algorithms. This is the first comprehensive study of standard JPEG2000 compression effects on face recognition, as well as an extension of existing experiments for JPEG compression. A wide range of bitrates (compression ratios) was used on probe images and results are reported for 12 different subspace face recognition algorithms. Effects of image compression on recognition performance are of interest in applications where image storage space and image transmission time are of critical importance. It will be shown that not only that compression does not deteriorate performance but it, in some cases, even improves it slightly. Some unexpected effects will be presented (like the ability of JPEG2000 to capture the information essential for recognizing changes caused by images taken later in time) and lines of further research suggested.