|QUOTE (MrMusAddict @ Tuesday, Jul 23 2013, 21:35)|
|Gentlemen, I fear we will have to use... Math.|
I have started what I would like to call, "The Haze Game". The goal? Take two screen shots that each have two unique areas in each shot. Using one screenshot, measure the average color of one object. Using the other screenshot, measure the average color of the same object, but with the added haze effect. You then repeat this process for the second unique object in both screenshots.
Using all four color values (object 1's close-up and distance shot, and object 2's close-up and distance shot), generate an average "haze" value between the two objects, and use the amount of haze to compare distances of known objects on the map.
Here is my example:
Here is my second Haze calculation. It uses the FIB building, and (the observatory?).
Here is the FIB building, with the observatory slightly out of frame. The white colored house on the hill was used to calculate the haze for the Observatory.
Here is the Observatory, with the FIB building in the distance (with haze):
Here are the average colors of the FIB building. Haze on the left, natural color on the right:
Here are the average colors of the Observatory. Haze on the left, natural color on the right:
And lastly, here is the average difference in colors:
This haze is 94% brighter in reds, 35% brighter in greens, and 12% brighter in blues. This means this color is on average 47% lighter than the average color taken between the two bridges. This translates to the FIB building being 47% farther away from the observatory than the two bridges are from each other. Allow me to show you with one of the popular maps:
In this map, length X is 389 pixels long. The length between the bridges? 346 pixels long. Unfortunately, this means that the distance between the two bridges in this map is 30% longer than what they should be. This also suggests that the width of the upper half of this map is 30% too long as well, which is why I included a corrected width.