<transcript><audio_88>features treated as rays that all meet at a point somewhere using a perspective projection and i want all these to come together at some particular point</transcript><transcript><audio_89>and if i can get the perspective right here</transcript><video><caption><image_90>The image shows a man standing in front of a green chalkboard. He is wearing a blue t-shirt and appears to be in a classroom or lecture hall. On the chalkboard, there is a diagram of a camera with the text "2) Visibility or line-of-sight method" written above it. Below the diagram, there are two lines of text that explain the concept of camera arrangements. The first line of text reads "Camera arrangements on harness" and the second line reads "inside-out". The text is written in white chalk and is centered on the board.</caption><caption><image_91>The image shows a man standing in front of a green chalkboard. He is wearing a blue t-shirt and appears to be in a classroom or a classroom setting. The chalkboard is filled with mathematical equations and formulas written in white chalk. The man is pointing towards the chalkboard with his right hand, as if he is explaining something. There is a red circle on the bottom left corner of the image, which could be a logo or a logo for a company or organization.</caption></video><transcript><audio_92>simple model of the imaging that looks like this right so i imagine there's an image plane and um you know the particular coordinates of of the points in this image plane it might depend on where i stick this plane</transcript><caption><image_93>The image is an aerial view of a body of water with a greenish-blue color. In the center of the image, there is a white line that runs diagonally across the water. On the right side of the line, there are six yellow arrows pointing in different directions. The arrows are arranged in a diagonal line, with the first arrow pointing to the left and the second arrow pointing towards the right. The third arrow is pointing to a red circle in the bottom left corner. The fourth arrow is in the top right corner, and the fifth arrow is on the bottom right corner.</caption><transcript><audio_94>and if i move the plane all the way past this focal point of the lines here then the image will turn upside down so let's suppose i have some model of the camera parameters so that i know where this plane is at so</transcript><transcript><audio_95>that i can then understand based on this focal point here and where the points are but for each one of these points that i see in the image each one of these feature points that i see in the image i know there is a corresponding ray in three-dimensional space</transcript><caption><image_96>The image shows a man standing in front of a green chalkboard. He is wearing a blue t-shirt with a logo on it and appears to be giving a presentation. The man is standing with his mouth open and his hands gesturing as he speaks. On the chalkboard behind him, there is text written in white chalk that reads "City or line-of-sight methods". There is also a red circle on the left side of the image.</caption><transcript><audio_97>okay and that that's the thing that's the assumption that i'm gonna end up using right so when i see features in the image plane i'm gonna know that they lie on some particular ray based on how i've</transcript> features treated as rays that all meet at a point somewhere using a perspective projection and i want all these to come together at some particular point and if i can get the perspective right here simple model of the imaging that looks like this right so i imagine there's an image plane and um you know the particular coordinates of of the points in this image plane it might depend on where i stick this plane and if i move the plane all the way past this focal point of the lines here then the image will turn upside down so let's suppose i have some model of the camera parameters so that i know where this plane is at so that i can then understand based on this focal point here and where the points are but for each one of these points that i see in the image each one of these feature points that i see in the image i know there is a corresponding ray in three-dimensional space okay and that that's the thing that's the assumption that i'm gonna end up using right so when i see features in the image plane i'm gonna know that they lie on some particular ray based on how i've
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