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Deep Compositing Using Lie Algebras
- Source :
- ACM Transactions on Graphics. 36:1-12
- Publication Year :
- 2017
- Publisher :
- Association for Computing Machinery (ACM), 2017.
-
Abstract
- Deep compositing is an important practical tool in creating digital imagery, but there has been little theoretical analysis of the underlying mathematical operators. Motivated by finding a simple formulation of the merging operation on OpenEXR -style deep images, we show that the Porter-Duff over function is the operator of a Lie group. In its corresponding Lie algebra, the splitting and mixing functions that OpenEXR deep merging requires have a particularly simple form. Working in the Lie algebra, we present a novel, simple proof of the uniqueness of the mixing function. The Lie group structure has many more applications, including new, correct resampling algorithms for volumetric images with alpha channels, and a deep image compression technique that outperforms that of OpenEXR .
- Subjects :
- Theoretical computer science
Computer science
020207 software engineering
010103 numerical & computational mathematics
02 engineering and technology
01 natural sciences
Computer Graphics and Computer-Aided Design
Exponential map (Lie theory)
Alpha (programming language)
Simple (abstract algebra)
Compositing
Lie algebra
0202 electrical engineering, electronic engineering, information engineering
0101 mathematics
Subjects
Details
- ISSN :
- 15577368 and 07300301
- Volume :
- 36
- Database :
- OpenAIRE
- Journal :
- ACM Transactions on Graphics
- Accession number :
- edsair.doi...........d6b510f197a23ca808857be6a9d868b8
- Full Text :
- https://doi.org/10.1145/3023386