Program II - Program II - Optimal Image Matching 10 points...

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Program II - Optimal Image Matching 10 points Due: 28-Mar-2008 Stereovision is an area of image processing in which images from two distinct cameras are "overlayed" to produce a 3D representation of the scene. One approach to stereovision is to use an image matching algorithm to align the pixels of the two images thus allowing the 3D reconstruction (with a know distance between the two cameras). The following illustrates the process. Left Camera View Right Camera View 3D Contour View In this program, we will focus on the image matching process (a pre-processing step to the type of image processing shown above). In matching the images, it is important to understand that not every pixel from the left view will correspond to a pixal from the right view. Therefore the matching algorithm must allow a certain amount of displacement in the matching process. The matching algorithm we will consider uses a collection of overlapping parallel strips from each image as shown below.
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Notice that each strip is a matrix of pixel values from the image. The task then is to align
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Program II - Program II - Optimal Image Matching 10 points...

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