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@ -21,7 +21,10 @@ Level of detail in images will have more of an affect on accuracy of FLANN based
EXPERIMENT DESIGN:
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.
Detailed Images will result in a large number of features, and the opposite should be true for less detailed images.
Detailed Images will result in a large number of features, and the opposite should be true for less detailed images. This could affect the accuracy of image mosaics.
To conduct the experiment I will measure the reprojection error of FLANN and Brute force matching on various
RESULTS