Non-photorealistic rendering from multiple images


Journal Article

A new paradigm for automatic non-photorealistic rendering (NPR) is introduced in this paper. Existing NPR approaches can be categorized in two groups depending on the type of input they use: image based and object based. Using multiple images as input to the NPR scheme, we propose a novel hybrid model that simultaneously uses information from the image and object domains. The benefit not only comes from combining the features of each approach, but most important, it minimizes the need for manual or user assisted tasks in extracting scene features and geometry, as employed in virtually all state-of-the-art NPR approaches. We describe a particular implementation of such an hybrid system and present a number of automatically generated pen-and-ink style drawings. This work then shows how to use and extend well developed techniques in computer vision to address fundamental problems in image representation and rendering. ©2004 IEEE.

Full Text

Duke Authors

Cited Authors

  • Bartesaghi, A; Sapiro, G; Malzbender, T; Gelb, D

Published Date

  • December 1, 2004

Published In

Volume / Issue

  • 4 /

Start / End Page

  • 2403 - 2406

International Standard Serial Number (ISSN)

  • 1522-4880

Digital Object Identifier (DOI)

  • 10.1109/ICIP.2004.1421585

Citation Source

  • Scopus