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@ -14,6 +14,30 @@ Choosing images
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use a range of input images
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# Experiment 1: Feature Matching
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HYPOTHESIS:
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Level of detail in images will have more of an affect on accuracy of FLANN based matching that in Brute-Force mathing
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EXPERIMENT DESIGN:
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Collect a number of highly detailed images and a number of less detailed images. Highly detailed images with have a lot of information such as trees, text, buildings, landscapes etc. Less detailed images with be sparse, these could be bare buildings, walls, images with large blocks of color.
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Detailed Images will result in a large number of features, and the opposite should be true for less detailed images.
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RESULTS
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DISCUSSION
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# Experiment 2: RANSAC for Homography Estimation
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QUESTION: How does the choice of RANSAC threshold affect the speed of homography estimation in highly detailed images?
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EXPERIMENT DESIGN:
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RESULTS
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DISCUSSION
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# Todo
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- specify number and type of images to collect
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- choose question
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