<transcript><audio_106>features it can find and works with those it may as the camera turns it may grab some new features and some that were previously in the field of view just fall out of the field of view they disappear that's fine so it just robustly and automatically tries to use</transcript><transcript><audio_107>features however it can from</transcript><transcript><audio_108>um this might not be such a bad room for this if as i look around i see the the walls have nice uh grid patterns on them if i were to take the headset and look directly at a um with the camera and look directly at a perfectly white wall there may be no features that i can use based on</transcript><transcript><audio_109>whatever feature detection algorithm i've made right we have to be careful about that but it may be that for whatever automatic feature extraction and maintenance algorithm you've made we may be able to find a natural scene that it might not work so well in</transcript><video><caption><image_110>The image shows a man standing in front of a green chalkboard. He is wearing a blue t-shirt and appears to be a teacher or a student. The chalkboard has white text written on it, which reads "natural features - hard computer - extract 2 matter from one". The man is pointing to the text with his right hand, as if he is explaining something. The background is blurred, but it seems like the man is standing in a classroom or lecture hall.</caption><caption><image_111>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 or lecture. The text on the chalkboard reads "Natural features - hard computer vision - Exact & maintain from natural scenes". The man is gesturing with his hands as he speaks.</caption></video><transcript><audio_112>so if you're engineering a product you have to think about that is it going to cover all the cases or not or is it going to cover enough of the cases that the users will not complain because if you get it wrong and you make gross errors in your estimate of your position then this will have a dramatic effect in</transcript><transcript><audio_113>virtual reality because it may make people nauseated very quickly you'll feel all of a sudden like you're moving when you're not it's a very bad problem one thing you have to pay attention to here there are some tricks for doing this but it may be possible to fool them as well</transcript><caption><image_114>The image shows a man standing in front of a green chalkboard. He is wearing a blue t-shirt and is holding a piece of paper in his left hand. The chalkboard is written in white chalk and appears to be in a classroom setting. The man is standing with his back to the camera and is looking down at the chalkboard with a serious expression on his face. On the left side of the image, there is a logo for a company or organization.</caption> features it can find and works with those it may as the camera turns it may grab some new features and some that were previously in the field of view just fall out of the field of view they disappear that's fine so it just robustly and automatically tries to use features however it can from um this might not be such a bad room for this if as i look around i see the the walls have nice uh grid patterns on them if i were to take the headset and look directly at a um with the camera and look directly at a perfectly white wall there may be no features that i can use based on whatever feature detection algorithm i've made right we have to be careful about that but it may be that for whatever automatic feature extraction and maintenance algorithm you've made we may be able to find a natural scene that it might not work so well in so if you're engineering a product you have to think about that is it going to cover all the cases or not or is it going to cover enough of the cases that the users will not complain because if you get it wrong and you make gross errors in your estimate of your position then this will have a dramatic effect in virtual reality because it may make people nauseated very quickly you'll feel all of a sudden like you're moving when you're not it's a very bad problem one thing you have to pay attention to here there are some tricks for doing this but it may be possible to fool them as well
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