Pyramid transform and scale-space analysis in image analysis

Yoshihiko Mochizuki, Atsushi Imiya

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

2 Citations (Scopus)

Abstract

The pyramid transform compresses images while preserving global features such as edges and segments. The pyramid transform is efficiently used in optical flow computation starting from planar images captured by pinhole camera systems, since the propagation of features from coarse sampling to fine sampling allows the computation of both large displacements in low-resolution images sampled by a coarse grid and small displacements in high-resolution images sampled by a fine grid. The image pyramid transform involves the resizing of an image by downsampling after convolution with the Gaussian kernel. Since the convolution with the Gaussian kernel for smoothing is derived as the solution of a linear diffusion equation, the pyramid transform is performed by applying a downsampling operation to the solution of the linear diffusion equation.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages78-109
Number of pages32
Volume7474 LNCS
DOIs
Publication statusPublished - 2012
Event15th International Workshop on Theoretical Foundations of Computer Vision - Dagstuhl Castle
Duration: 2011 Jun 262011 Jul 1

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7474 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other15th International Workshop on Theoretical Foundations of Computer Vision
CityDagstuhl Castle
Period11/6/2611/7/1

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Fingerprint Dive into the research topics of 'Pyramid transform and scale-space analysis in image analysis'. Together they form a unique fingerprint.

  • Cite this

    Mochizuki, Y., & Imiya, A. (2012). Pyramid transform and scale-space analysis in image analysis. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7474 LNCS, pp. 78-109). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7474 LNCS). https://doi.org/10.1007/978-3-642-34091-8_4