Stereo Depth Estimation Algorithms: Difference between revisions
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== Introduction == | == Introduction == | ||
The brain is a fantastic | The brain is a fantastic supercomputer with unmatched 3D object recognition and depth estimation. The ocular system has over 120 million rods and 6 million cones which send signals that are funneled into of our visual cortex resulting in our capability to see. The massive amounts of data and processing power of our brain, make it a fascinating phenomenon. Stereo depth is a major part of this machinery and in this paper, we delve into the topic by investigating existing computer algorithms. Depth extraction from stereo estimation boils down to Triangulation. The paper seeks to explain three primary approaches and details surrounding stereo depth extraction. | ||
== Background == | == Background == | ||
Revision as of 06:02, 12 December 2017
Introduction
The brain is a fantastic supercomputer with unmatched 3D object recognition and depth estimation. The ocular system has over 120 million rods and 6 million cones which send signals that are funneled into of our visual cortex resulting in our capability to see. The massive amounts of data and processing power of our brain, make it a fascinating phenomenon. Stereo depth is a major part of this machinery and in this paper, we delve into the topic by investigating existing computer algorithms. Depth extraction from stereo estimation boils down to Triangulation. The paper seeks to explain three primary approaches and details surrounding stereo depth extraction.