Single view compositing with shadows
Xiaochun Cao, Yuping Shen, Mubarak Shah, Hassan Foroosh
In The Visual Computer, 21(8-10), 2005.
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.
Keyword(s): matting and compositing, image-based rendering, computer vision, shadow matte
@article{Cao:2005:SVC,
author = {Xiaochun Cao and Yuping Shen and Mubarak Shah and Hassan Foroosh},
title = {Single view compositing with shadows},
journal = {The Visual Computer},
volume = {21},
number = {8-10},
pages = {639--648},
year = {2005},
}
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