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Active mesh-a feature seeking and tracking image sequence representation scheme.

Y Wang1, O Lee

  • 1Dept. of Electr. Eng., Polytechnic Univ., Brooklyn, NY.

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|January 1, 1994
PubMed
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This study presents a deformable mesh for image sequence representation, efficiently tracking features like facial movements. The method uses nonuniform samples and dynamic node updates for accurate image interpolation and prediction.

Area of Science:

  • Computer Vision
  • Image Processing
  • Computational Geometry

Background:

  • Current image sequence representations often struggle with accurately tracking dynamic features.
  • Existing methods may lack efficiency in interpolation and prediction for complex scenes.

Purpose of the Study:

  • To introduce a novel representation scheme for image sequences using deformable meshes.
  • To enhance feature tracking accuracy and improve image interpolation and prediction capabilities.

Main Methods:

  • Utilizes a deformable mesh with nonuniformly distributed nodes, concentrated on image features.
  • Employs dynamic node updates to follow features across frames, maximizing feature magnitudes.
  • Incorporates a penalty term to prevent excessive mesh deformation and applies finite element method concepts for numerical simplification.

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Main Results:

  • Successfully tracks facial feature movements in head-and-shoulder sequences.
  • Demonstrates accurate interframe change modeling as elastic deformation.
  • Provides an efficient representation for arbitrary still images in the starting frame.

Conclusions:

  • The proposed deformable mesh representation scheme offers a robust method for image sequence analysis.
  • It effectively combines feature tracking with accurate image interpolation and prediction.
  • The approach shows significant potential for applications in video analysis and image compression.