Group 245

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Image:Group2.jpg

The purpose of our project is to be able to derive depth, in real time, through an image captured by a camera(s).

To determine depth, we used a process called Stereopsis. The process of determining depth using Stereopsis is composed of a few key components. Two identical cameras are positioned near each other with a separation distance and focusing angle. These two parameters are chosen such that the range of depth desired can be computed with the most accuracy in contrast to all possible depth-range computations. The cameras are connected to a computer through a USB cable, which sends image information to the computer.

The Image-Processing Computer applies filters to conform the images so that meaningful features stand out in contrast to non-meaningful features (i.e. shadows, textures, glare, and reflections). The computer uses a vast array of image-processing algorithms to find key features in the images. Cross-correlation is performed between the features in both images to determine the line-of-site angle and separation distance. With that found, triangulation is performed to determine the distance that an object(s) is away from the cameras. Finally, we displayed the depth found on a 3D Graph.

Our GUI

Image:GUI.jpg


Sample Edge Detection / Filters Output

Image:Edge.jpg

Cross Correlation Output

Image:CCC.jpg


Sample 3D Graph Output

Image:Graph.jpg


Our Camera Setup

Image:Cameras.jpg


Group Members:

Forrest Johnson

Jacob Chrzanowski

Advisor: Dr. Ivan Lima

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