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Stereoscopic image generation of background terrain scenes
Author(s) -
Hwang Huicheol,
Kim Kyehyun,
Ribera Roger Blanco i,
Noh Junyong
Publication year - 2011
Publication title -
computer animation and virtual worlds
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.225
H-Index - 49
eISSN - 1546-427X
pISSN - 1546-4261
DOI - 10.1002/cav.415
Subject(s) - terrain , computer science , computer vision , artificial intelligence , stereoscopy , point cloud , compositing , computer graphics (images) , stereo imaging , image (mathematics) , ecology , biology
Abstract The reconstruction of 3D terrain geometry from images is essential for compositing CG objects into a live‐action background or for 2D to 3D conversion of terrain scenes. We present a novel mesh refinement algorithm for the creation of stereoscopic images of terrain scenes. Previous approaches emphasise the smoothness of the resulting terrain mesh over accuracy 1. Point cloud‐based methods cannot effectively recover the entire surface, leading to visual discrepancies after monocular sequences are converted into 3D stereo. As misalignment or inaccurate 3D terrain data over corresponding 2D background images can result in visual fatigue when stereo sequences are generated, ensuring accuracy of the reconstructed geometry is very important. To achieve the necessary accuracy, our method evaluates mesh errors utilising a texture projection onto the geometry and refines the mesh using Laplacian‐based editing. Our algorithm automatically generates stereoscopic images of terrain scenes. In addition, our method simplifies identification and compositing of foreground objects on the terrain geometry. Copyright © 2011 John Wiley & Sons, Ltd.