Single Viewpoint Image-Driven Simplification

Cheen Hau Tan, Lap Pui Chau

Research output: Journal article publicationJournal articleAcademic researchpeer-review


Image-driven simplification has been proposed as a simplification method which generates models with high fidelity and intrinsically factors in the error from mesh appearance properties. However, this approach is very time consuming since it requires multiple render and image captures for each simplification operation. By formulating a new error metric, we devise an image-driven algorithm which requires only one image capture. The proposed single viewpoint simplification runs at least 25 times faster than the previous approach with better quality overall.

Original languageEnglish
Article number1450008
JournalInternational Journal of Image and Graphics
Issue number3
Publication statusPublished - 1 Jul 2014
Externally publishedYes


  • Level of detail
  • mesh simplification
  • viewpoint computation

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Computer Science Applications
  • Computer Graphics and Computer-Aided Design


Dive into the research topics of 'Single Viewpoint Image-Driven Simplification'. Together they form a unique fingerprint.

Cite this