Qualitative Characterization of Deforming Surfaces

T. Lukins, R. Fisher

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper extends the idea of classification schemes for static surface curvature into the temporal domain. We seek to identify regions in sequences of depth data that exhibit variations in shape change, and to characterise the nature of the deformation. From observing the change in principle curvatures we show how it is possible to decouple the type of change into one of fifteen classes, and also reveal the extent of alteration. Results are presented for synthetic and real data sequences, with additional alignment performed to accommodate global motion. This technique shows promise in analysing data from video-rate range sensors, with potential applications in biometric and psychological analysis of the face and other deformable objects.
Original languageEnglish
Title of host publication3D Data Processing, Visualization, and Transmission, Third International Symposium on
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages287-293
Number of pages7
ISBN (Print)0-7695-2825-2
DOIs
Publication statusPublished - 2006

Keywords

  • biometrics (access control)
  • computer vision
  • image classification
  • image sequences
  • video signal processing
  • biometric analysis
  • deforming surfaces
  • psychological analysis
  • static surface curvature
  • video-rate range sensors
  • Biometrics
  • Deformable models
  • Finite element methods
  • Geometry
  • Informatics
  • Shape
  • Solid modeling
  • Surface fitting
  • Surface morphology
  • Vocabulary

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