The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Processing images and video for an impressionist effect
Abstract
This paper describes a technique that transforms ordinary video segments into animations that have a hand-painted look. Our method is the first to exploit temporal coherence in video clips to design an automatic filter with a hand-drawn animation quality, in this case, one that produces an Impressionist effect. Off-the-shelf image processing and rendering techniques are employed, modified and combined in a novel way. This paper proceeds through the process step by step, providing helpful hints for tuning the off-the-shelf parts as well as describing the new techniques and bookkeeping used to glue the parts together. 1.
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Cites
Triangle: Engineering a 2D quality mesh generator and Delaunay triangulator
Shewchuk, J. R. (1996) · Lecture Notes in Computer Science · doi:10.1007/bfb0014497 · Cited by 2,115
Cited by
Hertzmann, A. (2018) · Arts · doi:10.3390/arts7020018 · Cited by 265
Metadata
- Authors
- Litwinowicz, P.
- Venue
- Proceedings of the 24th annual conference on Computer graphics and interactive techniques - SIGGRAPH '97
- Publisher
- ACM Press
- Published
- 1997
- Pages
- 407-414
- OpenAlex
- W2058983849
- Cited by
- 384
- References
- 1
- FWCI
- 3.64
- Type
- conference paper
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Processing images and video for an impressionist effect. https://app.cochat.ai/papers/10.1145/258734.258893
- The paper
- Litwinowicz, P. (1997). Processing images and video for an impressionist effect. Proceedings of the 24th annual conference on Computer graphics and interactive techniques - SIGGRAPH '97. https://doi.org/10.1145/258734.258893
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.