Pic2Geom: A fast rendering algorithm for low-poly geometric art

Ruisheng Ng*, Lai Kuan Wong, John See

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)


Low poly rendering has always been a popular form of art in the art and design community, where the artist draws each polygon (usually triangle) on the image individually. Several state-of-the-art methods were proposed to overcome the laborious process of manual low poly rendering, by rendering the low poly shapes automatically. However, results generated by the aforementioned methods were either not visually pleasing or the algorithms are computationally slow. In this paper, we present Pic2Geom, a fast algorithm that generates low poly geometric art with adequate quality, at low computational cost. The proposed algorithm utilizes edge detection, saliency detection and face detection to generate a set of seed points, which is then used by Delaunay triangulation to generate the low poly abstraction. Comparison with state-of-the-arts approaches demonstrate the efficiency and effectiveness of our algorithm in producing a quality geometric abstraction of a given photograph.

Original languageEnglish
Title of host publicationAdvances in Multimedia Information Processing. PCM 2017
Number of pages10
ISBN (Electronic)9783319773834
ISBN (Print)9783319773827
Publication statusPublished - 10 May 2018
Event18th Pacific-Rim Conference on Multimedia 2017 - Harbin, China
Duration: 28 Sept 201729 Sept 2017

Publication series

NameLecture Notes in Computer Science
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference18th Pacific-Rim Conference on Multimedia 2017
Abbreviated titlePCM 2017


  • Geometric abstraction
  • Image abstraction
  • Low poly rendering

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science


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