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Medial axis techniques for stereoscopic extraction

Published: 03 August 2009 Publication History

Abstract

To perform the stereoscopic conversion of Disney's Beauty and the Beast, we developed novel extensions to standard medial axis techniques. Distance transforms, directional influences, and segmentation variations were used with medial axis skeletonization to automatically generate depth maps from the hand-drawn images. Overall, our methods significantly reduced the amount of manual rotoscoping and modeling traditionally required for a stereoscopic conversion process.

Reference

[1]
Pfaltz, J. L. and Rosenfeld, A. 1967. Computer Representation of Planar Regions by Their Skeletons, Communications of the ACM, 10, 2, 119--125.

Cited By

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  • (2021)A Learning-Based Approach to Parametric Rotoscoping of Multi-Shape Systems2021 IEEE Winter Conference on Applications of Computer Vision (WACV)10.1109/WACV48630.2021.00082(776-785)Online publication date: Jan-2021
  • (2013)Stereoscopizing cel animationsACM Transactions on Graphics10.1145/2508363.250839632:6(1-10)Online publication date: 1-Nov-2013
  • (2011)Developing tools for 2D/3D conversion of Japanese animationsACM SIGGRAPH 2011 Talks10.1145/2037826.2037845(1-1)Online publication date: 7-Aug-2011

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  1. Medial axis techniques for stereoscopic extraction

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      cover image ACM Conferences
      SIGGRAPH '09: SIGGRAPH 2009: Talks
      August 2009
      82 pages
      ISBN:9781605588346
      DOI:10.1145/1597990

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      Association for Computing Machinery

      New York, NY, United States

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      Published: 03 August 2009

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      • (2021)A Learning-Based Approach to Parametric Rotoscoping of Multi-Shape Systems2021 IEEE Winter Conference on Applications of Computer Vision (WACV)10.1109/WACV48630.2021.00082(776-785)Online publication date: Jan-2021
      • (2013)Stereoscopizing cel animationsACM Transactions on Graphics10.1145/2508363.250839632:6(1-10)Online publication date: 1-Nov-2013
      • (2011)Developing tools for 2D/3D conversion of Japanese animationsACM SIGGRAPH 2011 Talks10.1145/2037826.2037845(1-1)Online publication date: 7-Aug-2011

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