Effects of elemental images' quantity on three-dimensional segmentation using computational integral imaging

Doron Aloni, Yitzhak Yitzhaky

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

3D object detection and isolation can be achieved algorithmically using computational integral-imaging data. The 3D scene is acquired by a multi-channel system, where each channel (elemental image) captures the scene from a shifted perspective angle. The number of these channels affects the weight, the cost, and the computational load of the segmentation process, while a lower number of channels may reduce the performance of the objects' separation in the 3D scene. This research examines the effect of the elemental images' quantity on the 3D object detection and segmentation, under both regular and noisy conditions. Moreover, based on our previous works, we perform an improvement of the 3D object segmentation quality using an adapted active-contour method.

Original languageEnglish
Pages (from-to)2132-2140
Number of pages9
JournalApplied Optics
Volume56
Issue number8
DOIs
StatePublished - 10 Mar 2017

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics
  • Engineering (miscellaneous)
  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'Effects of elemental images' quantity on three-dimensional segmentation using computational integral imaging'. Together they form a unique fingerprint.

Cite this