An Image Morphing Technique Based on Optimal Mass Preserving Mapping

Abstract

Image morphing, or image interpolation in the time domain, deals with the metamorphosis of one image into another. In this paper, a new class of image morphing algorithms is proposed based on the theory of optimal mass transport. The L2 mass moving energy functional is modified by adding an intensity penalizing term, in order to reduce the undesired double exposure effect. It is an intensity-based approach and, thus, is parameter free. The optimal warping function is computed using an iterative gradient descent approach. This proposed morphing method is also extended to doubly connected domains using a harmonic parameterization technique, along with finite-element methods.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2007
Accession Number
ADA470478

Entities

People

  • Allen Tannenbaum
  • Lei Zhu
  • Steven Haker
  • Yan Yang

Organizations

  • Georgia Tech

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Computational Science
  • Coordinate Systems
  • Finite Element Analysis
  • Fluid Dynamics
  • Grids
  • Heart
  • Heart Ventricles
  • Image Processing
  • Image Registration
  • Image Segmentation
  • Intensity
  • Interpolation
  • Mathematical Filters
  • Time Domain
  • Transport Ships
  • Two Dimensional

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Approximation Theory.
  • Computer Vision.