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First IEEE International Workshop on Higher-Level Knowledge in 3D Modeling and Motion Analysis
Symmetry-Based Photo Editing
Nice, France
October 17-October 17
ISBN: 0-7695-2049-9
Kun Huang, University of Illinois at Urbana-Champaign
Wei Hong, University of Illinois at Urbana-Champaign
Yi Ma, University of Illinois at Urbana-Champaign
Based on high-level geometric knowledge, especially symmetry, imposed upon objects in images, we demonstrate in this paper how to edit images in terms of correct 3-D shape and relationships of the objects, without explicitly performing full 3-D reconstruction. Symmetry is proposed as the central notation that unifies both conceptually and algorithmically all types geometric regularities such as parallelism, orthoganality, and similarity. The methods are extremely simple, accurate, and easy to implement, and they demonstrate the power of applying scene knowledge.
Index Terms:
vision and scene understanding, high-level knowledge, structure from symmetry, image editing, 3-D scene recovery
Citation:
Kun Huang, Wei Hong, Yi Ma, "Symmetry-Based Photo Editing," hlk, pp.21, First IEEE International Workshop on Higher-Level Knowledge in 3D Modeling and Motion Analysis, 2003
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