Results 281 to 290 of about 1,321,919 (336)

Unconstrained correlation filters

Applied Optics, 1994
A mathematical analysis of the distortion tolerance in correlation filters is presented. A good measure for distortion performance is shown to be a generalization of the minimum average correlation energy criterion. To optimize the filter's performance, we remove the usual hard constraints on the outputs in the synthetic discriminant function ...
A, Mahalanobis, B V, Vijaya Kumar, S, Song, S R, Sims, J F, Epperson   +4 more
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Kalman Filter for Spatial-Temporal Regularized Correlation Filters

IEEE Transactions on Image Processing, 2021
We consider visual tracking in numerous applications of computer vision and seek to achieve optimal tracking accuracy and robustness based on various evaluation criteria for applications in intelligent monitoring during disaster recovery activities.
Sheng Feng, Keli Hu, En Fan, Liping Zhao 0005, Chengdong Wu 0001   +4 more
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Wiener-like correlation filters

Applied Optics, 2000
We introduce a new, to our knowledge, design for a Wiener-like correlation filter, which consists of cascading a phase-only filter (POF) with a photorefractive Wiener-like filter. Its performance is compared with that of the POF and the Wiener correlation filter (WCF).
J, Khoury, P D, Gianino, C L, Woods
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Biometric verification with correlation filters

Applied Optics, 2004
Using biometrics for subject verification can significantly improve security over that of approaches based on passwords and personal identification numbers, both of which people tend to lose or forget. In biometric verification the system tries to match an input biometric (such as a fingerprint, face image, or iris image) to a stored biometric template.
B V K, Vijaya Kumar, Marios, Savvides, Chunyan, Xie, Krithika, Venkataramani, Jason, Thornton, Abhijit, Mahalanobis   +5 more
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Optimal real correlation filters

Applied Optics, 1991
Expressions are derived for real filters that have a maximum correlation signal to noise ratio. Both continuous and discrete cases are treated and shown to have similar forms. The signal can be complex, and the case of a real signal is considered and related to previous results.
R D, Juday, B V, Kumar, P K, Rajan
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Performance measures for correlation filters

Applied Optics, 1990
Several performance criteria are described to enable a fair comparison among the various correlation filter designs: signal-to-noise ratio, peak sharpness, peak location, light efficiency, discriminability, and distortion invariance. The trade-offs resulting between some of these criteria are illustrated with the help of a new family of filters called ...
B V, Kumar, L, Hassebrook
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Acoustooptic matched filter correlator

Applied Optics, 1982
The signal model used and the output SNR(0) measure chosen are shown to affect the performance of an acoustooptic time-integrating correlator. Nonuniform acoustic fields are also shown to affect the results, but these error sources can be overcome with a new hybrid time- and space-integrating acoustooptic matched filter correlator that we describe and ...
D, Casasent, G, Silbershatz, B V, Kumar
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Wavelet filtering of correlated speckle

SPIE Proceedings, 2003
In practice, SAR images are very often disturbed by a correlated speckle noise. Correlation influence on wavelet coefficients is a difficult problem degrading detection and filtering performances dramatically. We establish a simple analytic relation between high order wavelet coefficient moments/cumulants and speckle second order statistics.
Samuel Foucher, Jean-Marc Boucher, Goze B. Bénié   +2 more
openaire   +1 more source

Zero-aliasing correlation filters

2013 8th International Symposium on Image and Signal Processing and Analysis (ISPA), 2013
Traditional correlation filters are designed and implemented via the frequency domain, where the correlation of two signals may be computed efficiently. However, when the discrete Fourier transform (DFT) of length N is used, multiplication in the frequency domain results in an N-point circular correlation, rather than a linear correlation.
Joseph A. Fernandez, B. V. K. Vijaya Kumar   +1 more
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Correlation Filters for Object Alignment

2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013
Alignment of 3D objects from 2D images is one of the most important and well studied problems in computer vision. A typical object alignment system consists of a landmark appearance model which is used to obtain an initial shape and a shape model which refines this initial shape by correcting the initialization errors.
Vishnu Naresh Boddeti, Takeo Kanade, B. V. K. Vijaya Kumar   +2 more
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