SIFT - 5 Minutes with Cyrill

SIFT features explained in 5 minutes
Series: 5 Minutes with Cyrill
Cyrill Stachniss, 2020
Credits:
Video by Cyrill Stachniss
Partial image courtesy by Gil Levi and David Lowe
Thanks to Igor Bogoslavskyi and Olga Vysotska
Intro music by The Brothers Records

[@faqiaiqbal2822]

I learnt more about SIFT in these 5 minutes than I did in the hour-long lecture at my university. Thanks a lot!

[@CyrillStachniss]

Thanks!

[@muhammaddominik7804]

I dont mean to be offtopic but does someone know a tool to log back into an Instagram account??
I somehow forgot my login password. I appreciate any tricks you can offer me!

[@ganjarulez009]

I mean it's a REALLY good overview but it never should replace a whole lecture, there are a lot more details on this subject that were left out (for a good reason)

[@patrickbueno3279]

@@muhammaddominik7804 you can always contact their customer service

[@LukeSchoen]

Really loving these videos! thanks from australia Mr. Stachniss!

[@prv619ify]

A short and precise explanation. Hats off.

[@doyleBellamy03]

Perfect video. Please keep uploading these insightful videos. Thanks a lot !!!

[@mansigoyal3754]

The best explanation of SIFT online. Thank you!

[@TamilFlightSimmer]

Thanks for the beautiful explanation Mr.Stachniss

[@thibaultbruyere]

Very concise and intersting video, I love the content of your channel!
Thanks from France

[@kevininofuente-bluetech]

Thank you so much for sharing your knowledge Mr. Stachniss. I'm from Perú and
I am very grateful.

[@eviltqueen2234]

Thank you for a clear, interesting explanation. I really enjoyed this video and it cleared a lot of points i didnt understand.

[@ytmaza1316]

Excellent video! Thank you very much. I didn't quite understand the lecture I was watching. This video gave a great overview and already went into some details!

[@balveersingh3051]

That was really useful for a quick revision. Thanks Cyrill

[@rajahaseeb8418]

He deserves way more respect from the world. Just amazing!

[@talsveta]

Thank you so much!

[@Alaa-wv4jk]

Thank u for this

[@gautamsuryawanshi2642]

awesome explanation. Thank you so much professor.

[@lekhasoni7027]

Great summary! couldn't thank you enough..

[@ganeshmohanan5660]

Thank you Prof. Was a short and understandable video!

[@HassanOmariprofile]

Thanks a lot, great explanation

[@Sebaroo9]

great video, thank you!

[@faqirgul7718]

Thank you for explaining SIFT in good way

[@natanielruiz818]

This is quality content.

[@zihaoyu5026]

Thank you for your good lecture, I am from China and I've learned a lot from you!

[@muhammadihtishamamin859]

thank you!

[@KwangrokRyoo]

thank you Cryill !

[@Bodhi0485]

Great video!

[@renaldomoon3097]

thanks a lot! nice video :)

[@drinkingguy3168]

Having a test in 2 hours, thank you for the video ~w~

[@naoyukili1144]

Pretty clear explanation, thanks

[@namanjaswani8925]

Great explaination

[@jatinsingh9062]

great explanation

[@kruan2661]

Outstanding. This lecture perfectly exemplified "you can make a nuclear bomb by hand" by just following the correct youtube channel.

[@jesalonboard]

Now this looks so easy. Thanks a lot ! 😅

[@trafalgarlaw9919]

Thank you

[@kenanmorani9204]

Nice summary Sir. Thanks

[@summerxia4950]

Very intuitve.Thanks!

[@CyrillStachniss]

Thanks

[@mohamedihmeida6096]

Thank you for the video. Could you please explain how do you evaluate the feature matching after applying SIFT such as accuracy?

[@PoornimaEG25]

Thank you for the best video 😊 sir can you please explain a-kaze and surf algorithm it's a request

[@maticvl]

subtract :-) great videos !!!

[@svm_user]

Thank you, Cyrill. The series is great, especially for beginners like myself, please carry on with it.
Small nitpick: the word "subtract" doesn't have second 's' in it. I am not a native speaker and did the same mistake for years.

[@CyrillStachniss]

thx

[@derejehailemariam677]

Can you please do a video on SURF??

[@ChrisOffner]

This question will betray my lack of CV fundamentals here but could someone explain what neighborhood gradients exactly are meant here? I'm familiar with gradients as a vector of partial derivatives, I'm just unsure what partial derivatives exactly we're computing here. Derivative of what with respect to what?

[@nithishram2297]

tq

[@hangli1622]

I have a question why SIFT is scale invariant. Say, if picture 1 has a chimney as its keypoint and surrounding vectors as descriptor, then for picture 2, if the chimney is 75% the size of picture 1, then it will not match the descriptor in picture 1 because SIFT always takes half rather than 75% ?

[@pedrovelazquez138]

So nice to be taught by James Bond!

[@egoistausfun9413]

Can you make a video about SURF too? I read that it has better results than SIFT.

[@mehershrishtinigam5449]

Is substract a different thing or did sir mean to say subtract? Thank you making this btw

[@rathin4]

Erroneously people pronounce subtract as substract and this happens world over 😀

[@utkarshasthana5588]

Live stream stitching is possible??

[@anuragdutta7658]

Hi Cyrill. I had a doubt. Can I train a CNN architecture such as ResNet on images generated after applying SIFT ?

[@CyrillStachniss]

Sorry, that is a rather unclear question...

[@danidelgado7443]

sift dis nuts haha got uya

[@srichitras7311]

What's the difference between a descriptor and a detector?

[@CyrillStachniss]

The one detects a key point, the other one describes the surrounding area by a feature vector

[@xiaoshi_wang]

Thank you so much!

[@omarkiller2222]

Wang = wank!!!