Single view compositing with shadows

Authors

    Authors

    X. C. Cao; Y. P. Shen; M. Shah;H. Foroosh

    Comments

    Authors: contact us about adding a copy of your work at STARS@ucf.edu

    Abbreviated Journal Title

    Visual Comput.

    Keywords

    matting and compositing; image-based rendering; computer vision; shadow; matte; CAMERA CALIBRATION; VIDEO; Computer Science, Software Engineering

    Abstract

    In this paper, we describe how geometrically correct and visually realistic shadows may be computed for objects composited into a single view of a target scene. Compared to traditional single view compositing methods, which either do not deal with the shadow effects or manually create the shadows for the composited objects, our approach efficiently utilizes the geometric and photometric constraints extracted from a single target image to synthesize the shadows consistent with the overall target scene for the inserted objects. In particular, we explore (i) the constraints provided by imaged scene structure, e.g. vanishing points of orthogonal directions, for camera calibration and thus explicit determination of the locations of the camera and the light source; (ii) the relatively weaker geometric constraint, the planar homology, that models the imaged shadow relations when explicit camera calibration is not possible; and (iii) the photometric constraints that are required to match the color characteristics of the synthesized shadows with those of the original scene. For each constraint, we demonstrate the working examples followed by our observations. To show the accuracy and the applications of the proposed method, we present the results for a variety of target scenes, including footage from commercial Hollywood movies and 3D video games.

    Journal Title

    Visual Computer

    Volume

    21

    Issue/Number

    8-10

    Publication Date

    1-1-2005

    Document Type

    Article; Proceedings Paper

    Language

    English

    First Page

    639

    Last Page

    648

    WOS Identifier

    WOS:000231857400016

    ISSN

    0178-2789

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