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Feature-based image metamorphosis

Authors:

Thaddeus Beier,

Shawn NeelyAuthors Info & Claims

ACM SIGGRAPH Computer Graphics, Volume 26, Issue 2

Pages 35 - 42

https://doi.org/10.1145/142920.134003

Published: 01 July 1992 Publication History

Abstract

A new technique is presented for the metamorphosis of one digital image into another. The approach gives the animator high-level control of the visual effect by providing natural feature-based specification and interaction. When used effectively, this technique can give the illusion that the photographed or computer generated subjects are transforming in a fluid, surrealistic, and often dramatic way. Comparisons with existing methods are drawn, and the advantages and disadvantages of each are examined. The new method is then extended to accommodate keyframed transformations between image sequences for motion image work. Several examples are illustrated with resulting images.

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Index Terms

Feature-based image metamorphosis
1. Computing methodologies
  1. Computer graphics
    1. Animation
    2. Shape modeling
      1. Parametric curve and surface models
      2. Volumetric models

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Information & Contributors

Information

Published In

cover image ACM SIGGRAPH Computer Graphics

ACM SIGGRAPH Computer Graphics Volume 26, Issue 2

July 1992

366 pages

ISSN:0097-8930

DOI:10.1145/142920

Editor:
Maxine Brown
Univ. of Illinois at Chicago

Issue’s Table of Contents

SIGGRAPH '92: Proceedings of the 19th annual conference on Computer graphics and interactive techniques
July 1992
420 pages
ISBN:0897914791
DOI:10.1145/133994
Editor:
James J. Thomas
Battelle Pacific Northwest Labs, Richland, WA

Copyright © 1992 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 July 1992

Published in SIGGRAPH Volume 26, Issue 2

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https://doi.org/10.1360/SSI-2023-0194
Roy DSantra SMukherjee DChanda B(2024)Significance of Anatomical Constraints in Virtual Try-OnIEEE Transactions on Emerging Topics in Computational Intelligence10.1109/TETCI.2024.33530808:2(1853-1864)Online publication date: Apr-2024
https://doi.org/10.1109/TETCI.2024.3353080
Schardong GNovello TPaz HMedvedev IDa Silva VVelho LGonçalves N(2024)Neural Implicit Morphing of Face Images2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)10.1109/CVPR52733.2024.00699(7321-7330)Online publication date: 16-Jun-2024
https://doi.org/10.1109/CVPR52733.2024.00699
Xu HYu XCheng YXiao MYu Y(2024)Low-Rank Active Learning for Generating Speech-Drive Human Face AnimationIEEE Access10.1109/ACCESS.2024.337477712(38758-38764)Online publication date: 2024
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