Automatic 3D object localization and isolation using computational integral imaging

Doron Aloni, Yitzhak Yitzhaky

Research output: Contribution to journalArticlepeer-review

11 Scopus citations


Detecting objects in three-dimensional (3D) space may be useful for various applications. We present a method to detect the 3D locations of objects using computationally reconstructed images obtained by integral imaging. The new algorithm exploits the space-variant blurring properties of the reconstructed images to detect and isolate objects at their depth locations, while removing traces of objects from other depths. With regard to previous work, the proposed method is more efficient and more resistant to noise; it gives more information about the detected object's depth, and improves object isolation and presentation.

Original languageEnglish
Pages (from-to)6717-6724
Number of pages8
JournalApplied Optics
Issue number22
StatePublished - 1 Aug 2015

ASJC Scopus subject areas

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


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