Three-dimensional image sensing, visualization, and processing using integral imaging

Adrian Stern, Bahram Javidi

    Research output: Contribution to journalArticlepeer-review

    432 Scopus citations

    Abstract

    Three dimensional (3-D) imaging and display have been subjects of much research due to their diverse benefits and applications. However, due to the necessity to capture, record, process, and display an enormous amount of optical data for producing high-quality 3-D images, the developed 3-D imaging techniques were forced to compromise their performances (e.g., gave up the continuous parallax, restricting to a fixed viewing point) or to use special devices and technology (such as coherent illuminations, special spectacles) which is inconvenient for most practical implementation. Today's rapid progress of digital capture and display technology opened the possibility to proceed toward noncompromising, easy-to-use 3-D imaging techniques. This technology progress prompted the revival of the integral imaging (II) technique basedon a technique proposed almost one century ago. II is a type of multiview 3-D imaging system that uses an array of diffractive or refractive elements to capture the 3-D optical data. It has attracted great attention recently, since it produces auto stereoscopic images without special illumination requirements. However, with a conventional II system it is not possible to produce 3-D images that have both high resolution, large depth-of-field, and large viewing angle. This paper provides an overview of the approaches and techniques developed during the last decade to overcome these limitations. By combining these techniques with upcoming technology it is to be expected that II-based 3-D imaging systems will reach practical applicability in various fields.

    Original languageEnglish
    Pages (from-to)591-606
    Number of pages16
    JournalProceedings of the IEEE
    Volume94
    Issue number3
    DOIs
    StatePublished - 1 Jan 2006

    Keywords

    • Computational integral imaging (CII), integral imagi (II), tnghree-dimensional (3-D) imaging.
    • Computer-generated integral imaging (CGII),

    ASJC Scopus subject areas

    • General Computer Science
    • Electrical and Electronic Engineering

    Fingerprint

    Dive into the research topics of 'Three-dimensional image sensing, visualization, and processing using integral imaging'. Together they form a unique fingerprint.

    Cite this