TY - GEN
T1 - Comparative evaluation of wavelet-based super-resolution from video for face recognition at a distance
AU - Bilgazyev, E.
AU - Shah, S. K.
AU - Kakadiaris, I. A.
PY - 2011
Y1 - 2011
N2 - Face recognition is a challenging problem, especially when low resolution images or image sequences are used for the task. Many methods have been proposed that can combine multiple low resolution images to realize a higher resolution or super-resolved image. Nonetheless, their utility and limitations for use in face recognition are not well understood. In this paper, we present a quantitative and comparative evaluation of wavelet transform based methods for image super-resolution. We evaluate different basis functions, varying levels of decomposition, and multiple methods for coefficient fusion to maximize the benefit of the super-resolved image for the task of face recognition. We have used a Discrete Wavelet Transform and the shift-invariant Dual-Tree Complex Wavelet Transform. Results are reported across both manually generated datasets and data from a surveillance system.
AB - Face recognition is a challenging problem, especially when low resolution images or image sequences are used for the task. Many methods have been proposed that can combine multiple low resolution images to realize a higher resolution or super-resolved image. Nonetheless, their utility and limitations for use in face recognition are not well understood. In this paper, we present a quantitative and comparative evaluation of wavelet transform based methods for image super-resolution. We evaluate different basis functions, varying levels of decomposition, and multiple methods for coefficient fusion to maximize the benefit of the super-resolved image for the task of face recognition. We have used a Discrete Wavelet Transform and the shift-invariant Dual-Tree Complex Wavelet Transform. Results are reported across both manually generated datasets and data from a surveillance system.
UR - http://www.scopus.com/inward/record.url?scp=79958762743&partnerID=8YFLogxK
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U2 - 10.1109/FG.2011.5771458
DO - 10.1109/FG.2011.5771458
M3 - Conference contribution
AN - SCOPUS:79958762743
SN - 9781424491407
T3 - 2011 IEEE International Conference on Automatic Face and Gesture Recognition and Workshops, FG 2011
SP - 559
EP - 565
BT - 2011 IEEE International Conference on Automatic Face and Gesture Recognition and Workshops, FG 2011
T2 - 2011 IEEE International Conference on Automatic Face and Gesture Recognition and Workshops, FG 2011
Y2 - 21 March 2011 through 25 March 2011
ER -