vault backup: 2023-03-31 16:11:01

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@ -14,6 +14,30 @@ Choosing images
use a range of input images
# Experiment 1: Feature Matching
HYPOTHESIS:
Level of detail in images will have more of an affect on accuracy of FLANN based matching that in Brute-Force mathing
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.
RESULTS
DISCUSSION
# Experiment 2: RANSAC for Homography Estimation
QUESTION: How does the choice of RANSAC threshold affect the speed of homography estimation in highly detailed images?
EXPERIMENT DESIGN:
RESULTS
DISCUSSION
# Todo
- specify number and type of images to collect
- choose question