Efficient C2-weighting for image warping

Chuhua Xian, Shuo Jin, Charlie Wang

Research output: Contribution to journalArticleScientificpeer-review

1 Citation (Scopus)
13 Downloads (Pure)

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.

Original languageEnglish
Pages (from-to)59-76
Number of pages18
JournalIEEE Computer Graphics and Applications
Volume38
Issue number1
DOIs
Publication statusPublished - 2018

Keywords

  • applications
  • computer graphics
  • hardware
  • image warping
  • integrated circuits
  • memory technologies
  • standard cells
  • types and design styles

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