Scene Modeling: A Structural Basis For Image Description

Citation

Tenenbaum, J. M., Fischler, M. A., & Barrow, H. G. (1981). Scene modeling: a structural basis for image description. In Image Modeling (pp. 371-389). Academic Press.

Abstract

Conventional statistical approaches to image modeling are fundamentally limited because they take no account of the underlying physical structure of the scene nor of the image formation process. The image features being modeled are frequently artifacts of viewpoint and illumination that have no intrinsic significance for higher-level interpretation. In this paper a structural approach to modeling is argued for that explicitly relates image appearance to the scene characteristics from which it arose. After establishing the necessity for structural modeling in image analysis, a specific representation for scene structure is proposed and then a possible computational paradigm for recovering this description from an image is described.


Read more from SRI

  • surgeons around a surgical robot

    The SRI research behind today’s surgical robotics

    Intuitive’s da Vinci 5 system represents a major leap in robotic-assisted medicine. It all started at SRI, which continues to advance teleoperation technologies.

  • a collage of digital graphs

    A banner year for quantum

    SRI-managed QED-C’s annual report on quantum trends captures an industry accelerating rapidly from technical promise toward major global impact.

  • ICE Cube containing SRI’s aerogel experiment, photographed prior to launch. Source: Aerospace Applications North America

    An SRI carbon capture experiment launches into space

    By synthesizing carbon-absorbing aerogels in microgravity, SRI research will give us a rare glimpse into how these materials could be radically improved.