1 00:00:01,450 --> 00:00:04,280 So let's talk a bit about how images are formed. 2 00:00:04,390 --> 00:00:09,880 So we're going to look at the most basic example of an image formation onto a piece of film. 3 00:00:09,970 --> 00:00:15,520 So imagine you're outside in a park and you're holding a strip of film while facing a tree so light 4 00:00:15,520 --> 00:00:20,610 reflects off the tree at different points and bounces off a tree onto your piece of film. 5 00:00:21,100 --> 00:00:25,930 So as you can see in this example what happens here is at the top of the tree and the middle of the 6 00:00:25,930 --> 00:00:29,240 tree are going to reflect at similar points along the farm. 7 00:00:29,350 --> 00:00:30,350 That's not good. 8 00:00:30,480 --> 00:00:36,160 That will actually focus that will basically result in an unfocused image or blurred image here. 9 00:00:36,940 --> 00:00:41,150 So as we can see that's not how our eyes or cameras work. 10 00:00:42,430 --> 00:00:45,720 This is a best example of how our eyes and cameras work. 11 00:00:46,030 --> 00:00:53,140 We essentially use a barrier to block off most points of light while leaving a small gap here and that 12 00:00:53,140 --> 00:00:55,010 gap has called aperture. 13 00:00:55,300 --> 00:00:59,040 And this allows us some points of light to be reflected onto the form. 14 00:00:59,380 --> 00:01:05,460 So this gives you a much more focused image and that's actually the basis of a pinhole camera. 15 00:01:05,590 --> 00:01:11,190 So it is a problem with a simple pinhole camera model in that the aperture is always fixed. 16 00:01:11,230 --> 00:01:18,040 So that means that a constant amount of light is always entering this will which can be sometimes overpowering 17 00:01:18,130 --> 00:01:18,730 for the film. 18 00:01:18,730 --> 00:01:20,960 Meaning that everything is going to look white. 19 00:01:21,100 --> 00:01:28,210 And secondly we can focus using this fix up issue to focus the image even better although it's never 20 00:01:28,210 --> 00:01:30,190 going to be as bad as the previous image. 21 00:01:30,190 --> 00:01:32,700 We still need to move the film back and forth. 22 00:01:33,530 --> 00:01:35,780 And that's not really a good system. 23 00:01:35,780 --> 00:01:37,150 So how do we fix this. 24 00:01:37,250 --> 00:01:44,030 Well by using a lens and an adaptive lens which is what most modern cameras and our eyes use it allows 25 00:01:44,030 --> 00:01:49,700 us to control the aperture size and in photography aperture size is referred to as f stops and cameras 26 00:01:50,150 --> 00:01:57,650 and lowa is better and also allows us to get some nice depth of field which is also called booka in 27 00:01:57,650 --> 00:01:59,450 photography. 28 00:01:59,480 --> 00:02:03,940 Just so you know book Booker is a highly desirable trait in photography. 29 00:02:04,070 --> 00:02:09,110 It allows us to have very blurred backgrounds while we focus on a growing image resulting in a pretty 30 00:02:09,110 --> 00:02:11,130 nice effect. 31 00:02:11,150 --> 00:02:17,240 Secondly with using a lens you actually can control the lens wit which allows us to instead of moving 32 00:02:17,240 --> 00:02:18,460 the film back and forth. 33 00:02:18,770 --> 00:02:22,430 We actually use a lens to focus directly on this point here. 34 00:02:22,880 --> 00:02:28,490 This results in a very nice nicely controlled system so fiercely before discussing how computers two 35 00:02:28,490 --> 00:02:29,150 images. 36 00:02:29,150 --> 00:02:34,580 I think it's good to discuss how humans see images and it is one thing you shouldn't know humans are 37 00:02:34,580 --> 00:02:40,520 exceptionally good at Image Processing starting with our eyes they're remarkably good at focusing quickly 38 00:02:40,880 --> 00:02:47,330 seeing in varying light conditions and picking up sharp details and then in terms of to putting what 39 00:02:47,330 --> 00:02:54,440 we see humans are exceptional at this as we can quickly understand the context of different images and 40 00:02:54,440 --> 00:03:01,550 quickly identify objects faeces you name it we can actually do this far better than any computer vision 41 00:03:01,670 --> 00:03:02,930 technique right now. 42 00:03:03,940 --> 00:03:10,820 And our brain our brains do this by using six layers of visual processing that you can see here. 43 00:03:11,230 --> 00:03:15,430 I won't go into the details of this but it's incredibly complicated. 44 00:03:15,520 --> 00:03:20,160 And if you're curious you can visit the Wikipedia page on our visual system right here.