Super-resolution image reconstruction from UAS surveillance video through affine invariant interest point-based motion estimation

Qiang He; Richard R. Schultz; Aldo Camargo; Yi Wang; Florent Martel

doi:10.1117/12.767832

17 April 2008 Super-resolution image reconstruction from UAS surveillance video through affine invariant interest point-based motion estimation

Qiang He, Richard R. Schultz, Aldo Camargo, Yi Wang, Florent Martel

Author Affiliations +

Proceedings Volume 6968, Signal Processing, Sensor Fusion, and Target Recognition XVII; 696815 (2008) https://doi.org/10.1117/12.767832
Event: SPIE Defense and Security Symposium, 2008, Orlando, Florida, United States

Abstract

In traditional super-resolution methods, researchers generally assume that accurate subpixel image registration parameters are given a priori. In reality, accurate image registration on a subpixel grid is the single most critically important step for the accuracy of super-resolution image reconstruction. In this paper, we introduce affine invariant features to improve subpixel image registration, which considerably reduces the number of mismatched points and hence makes traditional image registration more efficient and more accurate for super-resolution video enhancement. Affine invariant features are invariant to affine transformations, including scale, rotation, and translation. They are extracted from the second moment matrix through the integration and differentiation covariance matrices. The experimental results show that affine invariant interest points are more robust to perspective distortion and present more accurate matching than traditional Harris/SIFT corners. In our experiments, all matching affine invariant interest points are found correctly. In addition, for the same super-resolution problem, we can use much fewer affine invariant points than Harris/SIFT corners to obtain good super-resolution results.

Citation Download Citation

Qiang He, Richard R. Schultz, Aldo Camargo, Yi Wang, and Florent Martel "Super-resolution image reconstruction from UAS surveillance video through affine invariant interest point-based motion estimation", Proc. SPIE 6968, Signal Processing, Sensor Fusion, and Target Recognition XVII, 696815 (17 April 2008); https://doi.org/10.1117/12.767832

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