Depth Mapping Algorithm Performance Analysis: Difference between revisions

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== Results ==
== Results ==
[[File : Error_rate_vs_block_size_table.PNG ]]
[[File : Error_rate_vs_block_size.png‎]]
[[File : Error_rate_vs_block_size.png‎]]



Revision as of 01:50, 15 December 2017

Introduction

We will implement various disparity estimation algorithms and compare their performance.

Background

Disparity Maps

Stereo image pair → rectification to preserve only horizontal differences.

Use these differences to determine if objects are closer or farther.

How to get these differences (disparities)?


Disparity and Depth

Disparity and depth can be related by the following equation (where x-x' is disparity, z is depth, f is the focal length, and B is the interocular distance).

xx=Bfz

Methods

Results

Conclusions

Appendix

You can write math equations as follows: y=x+5

You can include images as follows (you will need to upload the image first using the toolbox on the left bar.):