Adjusting Shape Parameters Using Model-Based Optical Flow Residuals

Abstract

We present a method for estimating the shape of a deformable model using the least-squares residuals from a model-based optical flow computation. This method is built on top of an estimation framework using optical flow and image features, where optical flow affects only the motion parameters of the model. Using the results of this computation, our new method adjusts all of the parameters so that the residuals from the flow computation are minimized. We present face tracking experiments that demonstrate that this method obtains a better estimate of shape compared to related frameworks.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2002
Accession Number
ADA445727

Entities

People

  • Dimitris Metaxas
  • Douglas Decarlo

Organizations

  • Rutgers University Department of Computer Science

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Accuracy
  • Algorithms
  • Artificial Intelligence
  • Cognitive Science
  • Computations
  • Computer Science
  • Construction
  • Data Science
  • Differential Equations
  • Equations
  • Information Science
  • Mathematical Filters
  • Reliability
  • Residuals
  • Sequences
  • Three Dimensional
  • Two Dimensional

Readers

  • Computational Modeling and Simulation
  • Computer Vision.
  • Fluid Dynamics.