Photogrammetry I - 01 - Introduction (2015)

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Photogrammetry I Course, Chapter: Introduction
Slides: Send me an email and you can download the slides.
This lecture is part of the Photogrammetry I course at BSc level taught by Cyrill Stachniss at the University of Bonn, Germany in the summer term 2015.
Slide Information
* The slides have been created by Cyrill Stachniss as part of the photogrammetry and/or robotics courses.
* I tried to acknowledge all people who contributed images or videos. In case I made a mistake or missed someone, please let me know.
* The photogrammetry material heavily relies on the very well written lecture notes by Wolfgang Förstner and the Photogrammetric Computer Vision book by Förstner & Wrobel.
* Parts of the robotics material, especially the algorithms, stems from the great Probabilistic Robotics book by Thrun, Burgard and Fox.
* Feel free to use the course material, please send me an email to receive the Powerpoint files.

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1 авг 2024

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Комментарии : 71

@luksdoc 7 лет назад

This is one really rare class in term of the clarity of presentation, topics covered and how everything is dissected, an amazing piece of work!

@laurengarcia9879 4 года назад

Thank you for these open-access lectures! I was so upset that I missed this course at my university, but I'm very grateful for these lectures, and I aim to use photogrammetry in my future research.

@putin_navsegda6487 4 года назад

Im russian, dont have money to study university, but look your video lectures. They are very good, film more it. Thank you,

@xTHHxAimiForevr 8 лет назад

just struck gold with this playlist.

@gry1925 3 года назад

These are priceless lectures for one wanting to learn photogrammetry. Thanks for your contribution

@topografer 8 лет назад

Thanks for that. Really wanted an in-depth refresh of my photogrammetry knowledge and this is spot-on. Saw the first video and im going to see them all for the next coumple of months. Kudos to you sir!

@BonusPokus 8 лет назад

Thank you man, this course is just what I needed.

@DIPLab-CE-KMITL 7 лет назад

I really enjoy your course. Thank you very much for all the best sources of information.

@fanyang2368 8 лет назад

This lecture is very good. Thanks a lot.

@hyhhy4072 8 лет назад

I just can say : very great!! Love from a Chinese student :-).

@saic749 7 лет назад

amazing lectures, thanks for uploading!

@chefsdepartementsiomp5652 4 года назад

This lecture is just what i need Thanks a lot from Algeria

@coolsamuel4354 6 лет назад

i love this lecture alot... thanks sir, Greetings from Nigeria

@FPChris 3 года назад

THANK YOU for putting this online.

@Ari_pim 4 года назад

Thank you very much for the slides and these great lectures! Greetings from Thailand.

@piyushdongre4283 8 лет назад

Thank you very much sir, for this whole lecture series. Love from India.

@CyrillStachniss 8 лет назад

+Piyush Dongre Thank you!

@chanchoi5076 6 лет назад

Thank you very much for uploading this course!

@fabiovargas7995 8 лет назад

This is the answer I've been looking for! Thanks for posting and hosting this series.! :) you are awesome!

@CyrillStachniss 8 лет назад

+Fabio Vargas Thanks!

@ahmedhamid2833 6 лет назад

where were you before , thanks for all of this beauty

@boyuwang6081 5 лет назад

Great Lectures! Thanks a lot, Prof!

@tom4trimble 8 лет назад

Great work Prof.Dr. Cyrill Stachniss. Thank you for providing such extensive material about photogrammetry on RU-vid. If you don't mind I will sometimes link these videos to customers interested for in depth information concerning digital photogrammetry. Keep the good work and I wish you success and many gifted and skilled students.

@CyrillStachniss 8 лет назад

+Thomas Widmer Sure, go ahead!

@rcdroneservices3395 3 года назад

Thanks for the great lecture series. Thanks so much for sharing!

@_joaobasto 8 лет назад

thank you very much, great lecture !! it helped me so much

@vladimirzuzukin4774 8 лет назад

No equivalent lecture on either EdX or Coursera. This course may be it online. Thank you!

@CyrillStachniss 8 лет назад

+Vladimir Zuzukin Thank you!

@hessahalbanwan6702 8 лет назад

Very Helpful video👍

@Ensostyle 8 лет назад

awesome doc, thank you

@AsifAliArchitect 6 лет назад

Thank you very much for nice presentation

@paoloferrari3487 8 лет назад

Thank you very much si

@kennethng3888 7 лет назад

great video! can you also share the lecture notes (photogrammetrie I skriptum) as well? thank you very much!

@dharaladilraj8591 6 лет назад

Very very nice lecture

@kknd2104 7 лет назад

Thanks for the nice lecture! For your information, the slides link is broken. I just downloaded the slides from the teaching page directly.

@keira1412 9 лет назад

thanks for posting !

@keira1412 8 лет назад

Programming Assignments please, Prof Stachniss! I was with Prof Nak Young Chong at JAIST and Ryu from PosTech. Best

@FutureAIDev2015 8 лет назад

Can this be done for navigation in Kerbal Space Program using a rover and the kOS mod? For those who are unfamiliar, Kerbal Space Program is a space flight sim that also simulates aircraft, watercraft, and rovers, and kOS is the Kerbal Operating System mod which implements a programmable "microcontroller" in the game.

@uassau 6 лет назад

AvtDrones in attendance! Great course

@habtamuworke750 5 лет назад

Thank you Sir, but i cant find about collinearity. help me pleas.......

@samuelabreu4349 3 года назад

Thank you

@21design_eu 6 лет назад

Thank you ! *-*

@kknd2104 7 лет назад

Seems like Photogrammetry I Ch. 17 and II BA part3 is not available. Hope this could be fixed someday. Thanks a lot!

@dimitriosskarlatos3688 8 лет назад

Thanks a lot Cyrill, for your time preparing these lectures. Coming from old fashion photogrammetry (surveying eng), I found it very difficult to stimulate modern students. Are the ppts available also?

@CyrillStachniss 8 лет назад

+Dimitrios Skarlatos Yes, I am happy to share my slides. I will have finished them in around 2-3 weeks (when term is over) and I will then release all Photo 1 & Photo 2 pptx slides as a bundle. Please send me an email for details.

@guru7285 5 лет назад

29:18 "brain" - says who? Brain. Nice try "brain"! Btw these classes are a gold mine!

@marisolsierra5918 6 лет назад

Hey Cyriil the link of the slides send me an error could you update that link please! i want to follow your course. Best Regards Marisol From Ecuador

@neemanico5353 6 лет назад

How can we get the rest of the course material?

@juliaalekseenko8669 4 года назад

Hello! Very nice course, I just watched the first part, but I like it. Is there the way to receive the slides?

@CyrillStachniss 4 года назад

Yes, send me an email.

@nraynaud 4 года назад

Can you detail a bit more your statement at 36:38 that visual odometry drifts over time? it is not completely intuitive to me, the features in the world are fixed, and their position is directly measured. Are you reversing the optical flow instead of tracking ground features?

@raymondjohnson3730 2 года назад

can get the slides please

@AndreaDeCarolisADC 8 лет назад

Thank you for this great resources freely available online. Is possible to have a copy of the slides, to speed up listening? Thank you

@CyrillStachniss 8 лет назад

+Andrea De Carolis Yes, I plan to release the while slide set for both lectures by the end of the month (still need to incorporate a few fixes).

@CyrillStachniss 8 лет назад

+Andrea De Carolis Here: www.ipb.uni-bonn.de/html_pages_staff/CyrillStachniss/stachniss-photogrammetry-slides.zip

@andreadecarolis3617 8 лет назад

+Cyrill Stachniss Thank you! Great documentation!

@duhaduha2792 5 лет назад

thx from iraq

@sutsabasangtam5942 7 лет назад

have an exam 2maro hope this helps😂

@keira1412 9 лет назад

kinect

@VFXforfilm 6 лет назад

I have a great 2 part training series tutorial on photogrammetry and studio lighting setup if interested: www.vfxforfilm.com/phg-102-studio-shoot-and-cleanup

@keira1412 9 лет назад

laser

@Jonathansa01 7 лет назад

I am so sorry to say, but this course is not correct in many ways...too many errors in information to say here. Not enough research done on the subject here...(I have been building scanners for over 10 years, of all types) i.e. mobile phone cameras would be the worst source to extract frames to be used in photogrammetry due to physical parameters (too long to explain now) but mostly because the images undergo such high compression that there is severe data loss in the images for photogrammetry to be able to interpret, if you have to use a mobile phone camera, use a tripod and take photos in HDR mode, optics help a lot here, if you could find some lens to attach to the back of your phone to take sharper images, thumbs up for you (this is an extremely short version as to why mobile phones are borderline useless for photogrammetry)

@CyrillStachniss 7 лет назад

No. The only question is how accurate your results are supposed to be in the end. Obviously, better sensors are likely to provide better results so the choice of your sensor is driven by the application you target at.