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Handling local misalignment caused by the local warp remains a common and challenging task for image stitching. Moreover, the stitched image is prone to appearing ghosting due to the variations of the image viewpoint between images. To solve the problem of local misalignment, we propose a projection deviation-corrected local warping method with a global similarity constraint for image stitching. Recent warps prove that the warp of the local mesh guide image effectively improves the accuracy of image alignment. Geometric projection deviation is well used to accurately correct pixel offsets in image warping. To correct pixel offsets, we first remove the outliers from matching points by using the normal distribution model. The retained matches are more precise and can improve the accuracy of image alignment. Next, we use the local warping model combining local homography and global similarity for image warping. To further address the misalignment problem caused by local warping, we describe the local projection deviation of the local warping model by adopting a three-dimensional mesh interpolation model. Finally, the warped images are blended by a linear smoothing model. Experimental results show that our method outperforms the state-of-the-arts in alignment accuracy, and also provides better visual effects on challenging images.INDEX TERMS Image stitching, global similarity, local warping, image alignment, parallax.

The phenomenon of tunneling is well-known in quantum theory, however, many novel characteristics appear when the corresponding classical dynamics of the underlying system is chaotic. In this paper, the chaos-assisted tunneling is found in a triple-well potential under an external periodic driving field. We make use of the Husimi distribution to illustrate this characteristic in the quantum phase-space.

In this paper, a new strategy is developed for controlling chaos and hyperchaos in a nonlinear system via switching modulation of systems parameters. The control method is illustrated by examples of the third-order chaotic Chua's circuit and a sixth-order coupled hyperchaotic Chua's circuit. Numerical simulations show that this method is very effective.