Spacetime stereo: a unifying framework for depth from triangulation
Davis, J.; Nehab, D.; Ramamoorthi, R.; Rusinkiewicz, S.
Pattern Analysis and Machine Intelligence, IEEE Transactions on
Volume 27, Issue 2, Feb. 2005 Page(s):296 - 302
Digital Object Identifier   10.1109/TPAMI.2005.37
Summary:Depth from triangulation has traditionally been investigated in a number of independent threads of research, with methods such as stereo, laser scanning, and coded structured light considered separately. We propose a common framework called spacetime stereo that unifies and generalizes many of these previous methods. To show the practical utility of the framework, we develop two new algorithms for depth estimation: depth from unstructured illumination change and depth estimation in dynamic scenes. Based on our analysis, we show that methods derived from the spacetime stereo framework can be used to recover depth in situations in which existing methods perform poorly.

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