Feature extraction for 3D object detection from integral imaging

Doron Aloni, Yitzhak Yitzhaky

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Objects in a 3D space can be located and segmented using information obtained by computational integral imaging. This paper implements an approach for objects isolation based on detecting the sharp edges of the focused regions in the reconstructed confocal images. Several edge feature detection methods are employed and examined. Results show that while the ability to detect the correct object depth locations does not depend on the edge detection method, the resulting quality of the detected object features may be significantly affected by the method used.

Original languageEnglish
Title of host publicationImage Reconstruction from Incomplete Data VIII
EditorsPhilip J. Bones, Michael A. Fiddy, Michael A. Fiddy, Rick P. Millane, Philip J. Bones, Rick P. Millane
PublisherSPIE
ISBN (Electronic)9781628417661, 9781628417661
DOIs
StatePublished - 1 Jan 2015
EventImage Reconstruction from Incomplete Data VIII - San Diego, United States
Duration: 11 Aug 201512 Aug 2015

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume9600
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

ConferenceImage Reconstruction from Incomplete Data VIII
Country/TerritoryUnited States
CitySan Diego
Period11/08/1512/08/15

Keywords

  • 3D object detection
  • computational reconstructed integral imaging
  • depth extraction
  • edge detection
  • integral imaging

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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