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I already know the answer Because I have already solved this issue (light cones) ...🧐🧐🧐...
ОтветитьWhat I understand? Nothing
Ответитьpart II please
ОтветитьCorrospondance problem
ОтветитьThis is easier with a plenoptic camera
ОтветитьWow nice explanation! thanks
Ответитьi leant how to explain something from your video, also a bit about stereo vision
Ответитьgreat
ОтветитьSo finally, how is the occlusion problem solved(feature hidden in one view, existing in the other)?
ОтветитьWhy he is not seeing in the camera?
ОтветитьGreat explanation!
ОтветитьIt's always triangles!
ОтветитьDoes anyone know if I can use this method if I have the cameras gps coordinate when the images were taken? Can I calibrate the cameras using that data and follow the same method?
Ответитьliked bcoz of wolf story
ОтветитьThank you for your great explanation . Amazing!
Ответитьi had a question on an exam 'is stereo vision possible with only 1 camera, if soo what ancillary data is needed' how would u guys answer this????
ОтветитьI wanna pound dr pound😇🤔😅 he is so cute
ОтветитьIm trying to implement this using IR cameras in real-time without any luck haha
ОтветитьMIKE! Finish the rubiks cube damn it
ОтветитьIts really helpful channel and had lots of interesting videos but I can't find some videos in order, some videos are hidden from the channel and there is only a small number of playlists.. Is there any website where I can access these videos in some order. Thanks.
ОтветитьIf I were to attempt this, I would create a coincidence map from the left and right image, representing how much each left pixel matched the corresponding right pixel, using an offset of a series of intervals from -somevalue to +somevalue. Somevalue weighed against each coincidence pixel should yield a kind of edge map depicting the differential offsets of similar pixels, interpreted as distance.
I dream about developing some kind of inverse GPU card. Instead of taking a set of 3-D polygons and rendering them onto a 2-D screen, this would take a set of 2 or more camera inputs and render them into a set of polygons in 3-D. Given my history of "invention", this has already been done.
Needs a part 2.
Ответитьuse filters on the receiver. That kills sunshine.
ОтветитьOh god, it's a headache to calculate all the points in analytic geometry, but is possible to use the focus of the camera to create a useful constant.
Ответитьbasically, "how to solve a problem with 3 variables"
fix one, know another, and math the result out.
that's a thousand-year-old principle.... and people still fail to apply it to daily situations.
computerphile is way too nerd for the normal human being
ОтветитьSo the human brain knows the distance between the eyes?
ОтветитьI wish I had Dr Mike Pound as a lecturer
Ответитьwhere the object oriented programming video gone at?
ОтветитьMonocular vision gets accurate depth from micro focus changes. Otherwise how does your eye know how to focus when you close one eye?
ОтветитьTry driving a car with one eye closed....!
ОтветитьWould this be easier with three cameras instead of 2?
ОтветитьI love how he says "free d"
ОтветитьCan it be used in real time?
eg. In a car, to give a 100% accuracy on distence to stuff?
Can it be used, in Augmented Reality applications, and games in real time?
Mike is the best speaker in the channel. AI guy comes a close second.
ОтветитьYour hair is on fleek! Wow did I just say fleek?
ОтветитьI know you've already talked about color spaces, which was very interesting, but could you get Mike to do an episode on Gamma / Gamma Correction?
ОтветитьBut how do we know what direction that line is going in?
ОтветитьI work with this technique to reconstruct faces from photos.
ОтветитьI played around with stereo vision using OpenCV, and found it really hard. Computers are still years away from having 3d vision like even a rather simple animal.
ОтветитьWhat a boring magic image :(
ОтветитьYou can also move one eye/camera to get "actual" 3D because it's mathematically the same as two eyes for static scenes and under certain circumstances it even resembles the 3D "qualia" if you want to call it that.
ОтветитьReminds me of the "Fundamental Matrix Song", which is about the matrix connecting the two images. For more mathematically oriented people :-) Multiple-view geometry can be fun.
ОтветитьBest computerphile video:
- Clean desk
- Tidy shelf
- Nice hair
- Classic perforated printing paper
- Popped collar
Who in their right mind leaves an unsolved Rubics cube on a shelf in the background of a video? No idea what the video was about as I was totally distracted. :-(
ОтветитьLooks like the cameraman didn't have his customary dozen shots of espresso.
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