SimBIL: appearance-based simulation of burst-illumination laser sequences

A. Nayak, E. Trucco, A. Ahmad, A. M. Wallace

    Research output: Contribution to journalArticle

    6 Citations (Scopus)

    Abstract

    A novel appearance-based simulator of burst illumination laser sequences, SimBIL, is presented and the sequences it generates are compared with those of a physical model-based simulator that the authors have developed concurrently. SimBIL uses a database of 3D, geometric object models as faceted meshes, and attaches example-based representations of material appearances to each model surface. The representation is based on examples of intensity-time profiles for a set of orientations and materials. The dimensionality of the large set of profile examples (called a profile eigenspace) is reduced by principal component analysis. Depth and orientation of the model facets are used to simulate time gating, deciding which object parts are imaged for every frame in the sequence. Model orientation and material type are used to index the profile eigenspaces and assign an intensity-time profile to frame pixels. To assess comparatively the practical merit of SimBIL sequences, the authors compare range images reconstructed by a reference algorithm using sequences from SimBIL, from the physics-based simulator, and real BIL sequences. © 2008 The Institution of Engineering and Technology.
    Original languageEnglish
    Pages (from-to)165-174
    Number of pages10
    JournalIET Image Processing
    Volume2
    Issue number3
    DOIs
    Publication statusPublished - Jun 2008

    Keywords

    • TARGET RECOGNITION
    • IMAGING LIDAR
    • LADAR IMAGERY
    • MODEL

    Cite this

    Nayak, A. ; Trucco, E. ; Ahmad, A. ; Wallace, A. M. / SimBIL : appearance-based simulation of burst-illumination laser sequences. In: IET Image Processing. 2008 ; Vol. 2, No. 3. pp. 165-174.
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    abstract = "A novel appearance-based simulator of burst illumination laser sequences, SimBIL, is presented and the sequences it generates are compared with those of a physical model-based simulator that the authors have developed concurrently. SimBIL uses a database of 3D, geometric object models as faceted meshes, and attaches example-based representations of material appearances to each model surface. The representation is based on examples of intensity-time profiles for a set of orientations and materials. The dimensionality of the large set of profile examples (called a profile eigenspace) is reduced by principal component analysis. Depth and orientation of the model facets are used to simulate time gating, deciding which object parts are imaged for every frame in the sequence. Model orientation and material type are used to index the profile eigenspaces and assign an intensity-time profile to frame pixels. To assess comparatively the practical merit of SimBIL sequences, the authors compare range images reconstructed by a reference algorithm using sequences from SimBIL, from the physics-based simulator, and real BIL sequences. {\circledC} 2008 The Institution of Engineering and Technology.",
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    SimBIL : appearance-based simulation of burst-illumination laser sequences. / Nayak, A.; Trucco, E.; Ahmad, A.; Wallace, A. M.

    In: IET Image Processing, Vol. 2, No. 3, 06.2008, p. 165-174.

    Research output: Contribution to journalArticle

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    T2 - appearance-based simulation of burst-illumination laser sequences

    AU - Nayak, A.

    AU - Trucco, E.

    AU - Ahmad, A.

    AU - Wallace, A. M.

    N1 - Copyright 2008 Elsevier B.V., All rights reserved.

    PY - 2008/6

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    N2 - A novel appearance-based simulator of burst illumination laser sequences, SimBIL, is presented and the sequences it generates are compared with those of a physical model-based simulator that the authors have developed concurrently. SimBIL uses a database of 3D, geometric object models as faceted meshes, and attaches example-based representations of material appearances to each model surface. The representation is based on examples of intensity-time profiles for a set of orientations and materials. The dimensionality of the large set of profile examples (called a profile eigenspace) is reduced by principal component analysis. Depth and orientation of the model facets are used to simulate time gating, deciding which object parts are imaged for every frame in the sequence. Model orientation and material type are used to index the profile eigenspaces and assign an intensity-time profile to frame pixels. To assess comparatively the practical merit of SimBIL sequences, the authors compare range images reconstructed by a reference algorithm using sequences from SimBIL, from the physics-based simulator, and real BIL sequences. © 2008 The Institution of Engineering and Technology.

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