Prime shapes in natural images

Qi Wu, Peter Hall

Research output: Contribution to conferencePaper

4 Citations (Scopus)

Abstract

This paper provides evidence that about half of all the regions in segmented images can be classified as one a few simple shapes. Using three segmentation algorithms, three different image databases, and two shape descriptors, we empirically show that shapes such as triangles, squares, and circles are observed, up to an affine transform and at a much higher rate than random shapes. This result has potential value in applications such as scene understanding, visual object classification, and matching because qualitative shapes can be used as features. We show an application in scene categorisation based on what might be called 'bag of shapes'.

Original languageEnglish
DOIs
Publication statusPublished - 1 Jan 2012
Event2012 23rd British Machine Vision Conference, BMVC 2012 - Guildford, Surrey, UK United Kingdom
Duration: 3 Sep 20127 Sep 2012

Conference

Conference2012 23rd British Machine Vision Conference, BMVC 2012
CountryUK United Kingdom
CityGuildford, Surrey
Period3/09/127/09/12

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

Cite this

Wu, Q., & Hall, P. (2012). Prime shapes in natural images. Paper presented at 2012 23rd British Machine Vision Conference, BMVC 2012, Guildford, Surrey, UK United Kingdom. https://doi.org/10.5244/C.26.45