Abstract
As we saw in the previous chapter, a variety of stereo matching techniques have been developed to reconstruct high quality 3D models from two or more images. However, stereo is just one of the many potential cues that can be used to infer shape from images. In this chapter, we investigate a number of such techniques, which include not only visual cues such as shading and focus, but also techniques for merging multiple range or depth images into 3D models, as well as techniques for reconstructing specialized models, such as heads, bodies, or architecture.
Access provided by Autonomous University of Puebla. Download to read the full chapter text
Chapter PDF
Keywords
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2011 Springer-Verlag London Limited
About this chapter
Cite this chapter
Szeliski, R. (2011). 3D reconstruction. In: Computer Vision. Texts in Computer Science. Springer, London. https://doi.org/10.1007/978-1-84882-935-0_12
Download citation
DOI: https://doi.org/10.1007/978-1-84882-935-0_12
Published:
Publisher Name: Springer, London
Print ISBN: 978-1-84882-934-3
Online ISBN: 978-1-84882-935-0
eBook Packages: Computer ScienceComputer Science (R0)