AI Article Synopsis
- The paper presents a method for high-quality image warping using handle-driven linear blending, emphasizing its intuitive and efficient nature.
- The authors ensure C2 continuity in the computed weights by using carefully designed basis functions and provide a closed-form solution for quick weight calculations.
- A virtual handle insertion algorithm enhances usability by allowing users to place handles anywhere in the domain while meeting required blending criteria, with experimental results showcasing its effectiveness for real-time applications.
Article 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.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1109/MCG.2017.2801409 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!