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Issue No. 01 - Jan./Feb. (2018 vol. 38)
ISSN: 0272-1716
pp: 59-76
Chuhua Xian , South China University of Technology
Shuo Jin , Chinese University of Hong Kong
Charlie C.L. Wang , Delft University of Technology
ABSTRACT
Handle-driven image warping based on linear blending is widely used in many applications because of its merits on intuitiveness, efficiency, and ease of implementation. In this paper, we develop a method to compute high-quality weights within a closed domain for image warping. The property of C2 continuity in weights is guaranteed by the carefully formulated basis functions. The efficiency of our algorithm is ensured by a closed-form formulation of the computation for weights. The cost of inserting a new handle is only the time to evaluate the distances from the new handle to all other sample points in the domain. A virtual handle insertion algorithm is developed to allow users to freely place handles within the domain while preserving the satisfaction of all expected criteria on weights for linear blending. Experimental examples for real-time applications are shown to demonstrate the effectiveness of this method.
INDEX TERMS
image reconstruction,
CITATION

C. Xian, S. Jin and C. C. Wang, "Efficient C2-Weighting for Image Warping," in IEEE Computer Graphics and Applications, vol. 38, no. 1, pp. 59-76, 2018.
doi:10.1109/MCG.2017.2801409
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