Комментарии:
You have an excellent way of making a complicated thing very easy to grasp.
ОтветитьIt's crazy that an image-processing algorithm built 20 years ago is still state of the art in its category. Awesome.
Ответитьexcellent!
Ответитьwubbubbull-out pen
Ответитьwhat confused me is how does the algorithm know to make the rectangles sufficiently large enough to be useful for face detection? i.e., faces can be different sizes depending on distance/etc...
ОтветитьCramming for my Computer Vision Exam this afternoon 😬 At UoN
ОтветитьDo you have any sample code in C# of the Viola jones algorithms?
ОтветитьThis is really brilliant. It's an exellent explanation too. These viola jones guys did for Image proc what Thorp did for Black Jack......completely HACKED the game.
ОтветитьIntegral images is just 2D static sum from competitive programming!
Ответитьthis guy is very smart and good at the computers
ОтветитьReally awesome !
Ответитьwell simplified, enjoyed it a lot, was more fascinating than even recent R CNN, R FCNN, MTCNN.. gained more respect for 2001 people 😂, and that intergral image gave feel of dynamic programming😂
ОтветитьI just started working on image processing, and I remembered this video from years ago, and have made use of the hack he described for computing features to do something else.
ОтветитьThat accent, though!
Ответитьwhich is better Viola-Jones or deep learning? because Viola-Jones i think needs face forward images
ОтветитьI'm really thankful for having Peter Parker explaining us in such a friendly and simple way.
ОтветитьAmazing!
ОтветитьBut what about different sizes and scales? You still need to check every pixel/region in every scale. That's really slow. How do deal with it?
Ответитьboss need your help to build real time face tracking system for institute using python
ОтветитьLooking forward to see a machine that scan a person to ditect its whole body. The image will then be stored...in colored & 3d.
ОтветитьJared from Silicon Valley :|
ОтветитьIs this why people just block out the eyes in black when they don't want to be recognized in a photo? :3
ОтветитьI felt something was odd with the video. Mike was wearing a Shirt. Anyways, Great Content Guys, Keep it coming. Love Mikes way of teaching things.
ОтветитьSo are these the haar cascades from open cv?
ОтветитьWal-Mart is using this at the check out lanes today.
I feel like I'm in minority report.
Being tracked every time I buy a pair of socks.
This is one great video with one great algorithm
I have a little test related to this algorithm (a verbal exam) , and this video and boosted up by confidence
Thank you so much.
Love this channel! Thanks for sharing!
Ответитьman out here calling a whiteboard a blackboard
ОтветитьSweet series, may I ask what do you use to create the animations?
Ответить"Facial detection? Nah, I prefer racial detection"
ОтветитьThese videos are more helpful than my hour long university lectures.
ОтветитьThis might be completely wrong... but I get the impression that the way they came up with the algorithm still has similarities to a simple neural network.
They probably tried each simple feature on thousands of images to make sure they all pass (the "training" part), and in the end ended up with a list of tests (the second last layer in a neural network) that gives you a decision (last layer). It's incredibly quick because it doesn't need any more layers before that, and it has a fast fail mechanism.
can you tell me all steps of the algorithm to implement the face detection from scratch?
ОтветитьThanks for the great video!
ОтветитьMike needs his own channel
ОтветитьHis hair is always so perfectly taken care of.
Ответитьcould you please provide source code for this?
ОтветитьI liked the idea of "rectangle sums": so easy and so effective.
ОтветитьI cannot even comprehend being as intelligent as you. How does your brain not explode? You're nuts 😂😂😂 I've almost watched all your videos now, very addictive lol.
Ответитьgreat explanation of integral images!!!!
ОтветитьI really enjoy Computerphile and dare I say the enthusiasm and presentations from Mike the most. Nothing taken away from the great team it is just that I can imagine chatting in a pub with Mike somehow.
ОтветитьHuh, made my diploma using similar technology (Haara classifier): the goal was to detect vehicles and classify them into 3 categories (minivans, trucks and cars) in the aerial view images (to detect vehicles from the top view). Wait... It was absolutely the same technology, now I remember xD
Ответить👋🏻Greetings from MÈXICO 🇲🇽
ОтветитьI like the channel the only thing I don't like its phile. It really creeps me out.
ОтветитьThanks Dr. but how i can get the code ... my email << qusayh43@gmail
ОтветитьHow do they decide where to put these classifiers? I dont think it can be a moving window as that would be pretty slow. Also its unclear how do they decide the size of the classifiers.
ОтветитьTwo complications:
a) how well does such an algorithm distinguish identical twins (I know fingerprints are a better distinction)?
b) in future how will next of kin/executors unlock phones (or computers) belonging to their deceased loved ones without the biometrics?
I always learn so much of this guy videos!
ОтветитьThis channel is heaven for students like me
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