论文信息 - Fast interframe transformation with local binary patterns

Fast interframe transformation with local binary patterns

In this paper, we propose a background stabilization method for an arbitrary camera movement. We investigate the state of the art algorithms for feature point detection and introduce a composite LBP descriptor to describe the feature points both with an algorithm for feature points matching on a sequence of images. In addition, an algorithm for constructing an affine transformation of the old frame in the sequence into the new one for the tasks of stabilization and image stitching was proposed.

Boris V. Vishnyakov | Vladimir S. Gorbatsevich | S. V. Sidyakin

[1] Gary R. Bradski,et al. ORB: An efficient alternative to SIFT or SURF , 2011, 2011 International Conference on Computer Vision.

[2] Luc Van Gool,et al. SURF: Speeded Up Robust Features , 2006, ECCV.

[3] Lucas J. van Vliet,et al. Recursive implementation of the Gaussian filter , 1995, Signal Process..

[4] Robert C. Bolles,et al. Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography , 1981, CACM.

[5] David G. Lowe,et al. Object recognition from local scale-invariant features , 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.

[6] G LoweDavid,et al. Distinctive Image Features from Scale-Invariant Keypoints , 2004 .