Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Vectorizing cartoon animations

Zhang, Song-Hai, Chen, Tao, Zhang, Yi-Fei, Hu, Shi-Min and Martin, Ralph Robert 2009. Vectorizing cartoon animations. IEEE Transactions on Visualization and Computer Graphics 15 (4) , pp. 618-629. 10.1109/TVCG.2009.9

Full text not available from this repository.

Abstract

We present a system for vectorizing 2D raster format cartoon animations. The output animations are visually flicker free, smaller in file size, and easy to edit. We identify decorative lines separately from colored regions. We use an accurate and semantically meaningful image decomposition algorithm, supporting an arbitrary color model for each region. To ensure temporal coherence in the output, we reconstruct a universal background for all frames and separately extract foreground regions. Simple user-assistance is required to complete the background. Each region and decorative line is vectorized and stored together with their motions from frame to frame. The contributions of this paper are: 1) the new trapped-ball segmentation method, which is fast, supports nonuniformly colored regions, and allows robust region segmentation even in the presence of imperfectly linked region edges, 2) the separate handling of decorative lines as special objects during image decomposition, avoiding results containing multiple short, thin oversegmented regions, and 3) extraction of a single patch-based background for all frames, which provides a basis for consistent, flicker-free animations.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Computer Science & Informatics
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Uncontrolled Keywords: Cartoon vectorization; foreground extraction; image decomposition; trapped-ball segmentation
Publisher: IEEE
ISSN: 1077-2626
Funders: EPSRC
Last Modified: 04 Jun 2017 03:39
URI: http://orca-mwe.cf.ac.uk/id/eprint/11449

Citation Data

Cited 68 times in Google Scholar. View in Google Scholar

Cited 72 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item Edit Item