In compositing applications, objects depicted in images frequently have to be separated from their background, so that they can be placed in a new environment. Alpha mattes are important tools aiding the selection of objects, but cannot normally be created in a fully automatic way. We present an algorithm that requires as input two images - one where the object is in focus, and one where the background is in focus - and then automatically produces an alpha matte indicating which pixels belong to the object. This algorithm is inspired by human visual processing and involves nonlinear response compression, center-surround mechanisms as well as a filling-in stage. The output can then be refined with standard computer vision techniques. Copyright © 2005 by the Association for Computing Machinery, Inc.
CITATION STYLE
Reinhard, E., & Khan, E. A. (2005). Depth-of-field-based alpha-matte extraction. In Proceedings - APGV 2005: 2nd Symposium on Applied Perception in Graphics and Visualization (pp. 95–102). https://doi.org/10.1145/1080402.1080419
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