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Depth Reconstruction Uncertainty Improvement for Skewed Parallel Stereo Pair Cameras Using Dithering Approach
Blekinge Institute of Technology, School of Engineering.
2012 (English)Independent thesis Advanced level (degree of Master (Two Years))Student thesis
Abstract [en]

Each point in the space is defined by its three dimensions position (x,y,z). However, capturing this point with a camera only translates it to a two dimensional point (x,y). The reconstruction of the missing dimension z is needed to locate the point in the space. The skewed parallel cameras provide the mechanism for obtaining 3D information in a wide field of view. Due to discretization in the image planes, the 3D space is quantized by iso-disparity surfaces. In this thesis, a mathematical model relating the stereo setup parameters with the iso-disparities is developed and used for depth estimation. To reduce the uncertainty (quantization error) in the depth reconstruction, the dithering approach is proposed; therefore a dithering signal is estimated and generated to change the setup parameters. The simulation results show how the uncertainty of the depth reconstruction can be improved by this model.

Place, publisher, year, edition, pages
2012. , 49 p.
Keyword [en]
Depth Reconstruction, Dithering, Skewed Parallel, Stereo Setup, Iso-disparity
National Category
Signal Processing
URN: urn:nbn:se:bth-3044Local ID: diva2:830341
Available from: 2015-04-22 Created: 2012-02-29 Last updated: 2015-06-30Bibliographically approved

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