Class notes
College notes Computer Vision 1 (52041COV6Y), UvA
- Course
- Institution
Notes for the course CV1, chapter 1-7. All important information and slides have been incorporated into it.
[Show more]
2 reviews
By: dalayna03 • 11 months ago
Mediocre, basically just copied and pasted a number of slides from the powerpoint
By: adrianacabrera • 2 year ago
Seller
Follow
MeldaMalkoc
Reviews received
Content preview
Computer VisionCreated @September 6, 2021 5:14 PM
Class
Type
Materials
Lecture 1
introduction
basic idea: make a computer see and understand images (computer is linked to sensors or camera('s))
We can not just copy human vision: because we don’t yet have a sufficient understanding of how our
visual system works. Also the architecture is different: brain is slow but parallel, Computer is fast but
mainly serial
search for surface (normal)
Lecture 2
H1-2: camera model and image formatting
three levels of vision processing
Low-level vision: image processing, denoising, filtering, image restoration, low-level feature
extraction
Mid-level vision: basic image analysis, segmentation, contour extraction, perceptual organization,
2-1/2D representation, 3D information recovery
High-level vision: understanding, detection and recognition. semantic labelling, activity, event
detection
pinhole camera
similar mechanics as eyes, lens etc.
a barrier (aperture/shutter) needed to block the light/rays. Because the light from the object is
shattered to every direction
→ reducing blurring, and
→ to much light on film causes burning on the film
Computer Vision 1
, pupil is constricted in daylight, because there is a lot of energy/light (so many lines in the picture)
and we only need a small amount. But in the night there is less energy so we need a wider
opening of the barrier/pupil to get more energy
smaller number for lens (f/2.8) means larger opening
adding a lens to capture more light. Called zoom lens. However can not always focus fully (purple
one) → reshape of lens needed (eye does this automatically, and new technology called liquid
lens is discovered).
geometric image formation
world coordinates to image coordinates
homogeneous coordinates: with this we can get away with add → the equation will not get any
longer with only the product (bec the vectors will be same size). the smaller the w (distance image
to pinhole, now in vector at the end) → smaller image
Computer Vision 2
,Computer Vision 3
, Intrinsic changes
geometric center is in the middle, but the center of an image is in the left upper corner, so we
need extra values (u0 &v0 ) to move the image. minus by the Y → Y now goes down instead
of up
Computer Vision 4
The benefits of buying summaries with Stuvia:
Guaranteed quality through customer reviews
Stuvia customers have reviewed more than 700,000 summaries. This how you know that you are buying the best documents.
Quick and easy check-out
You can quickly pay through credit card or Stuvia-credit for the summaries. There is no membership needed.
Focus on what matters
Your fellow students write the study notes themselves, which is why the documents are always reliable and up-to-date. This ensures you quickly get to the core!
Frequently asked questions
What do I get when I buy this document?
You get a PDF, available immediately after your purchase. The purchased document is accessible anytime, anywhere and indefinitely through your profile.
Satisfaction guarantee: how does it work?
Our satisfaction guarantee ensures that you always find a study document that suits you well. You fill out a form, and our customer service team takes care of the rest.
Who am I buying these notes from?
Stuvia is a marketplace, so you are not buying this document from us, but from seller MeldaMalkoc. Stuvia facilitates payment to the seller.
Will I be stuck with a subscription?
No, you only buy these notes for $5.42. You're not tied to anything after your purchase.
Can Stuvia be trusted?
4.6 stars on Google & Trustpilot (+1000 reviews)
83750 documents were sold in the last 30 days
Founded in 2010, the go-to place to buy study notes for 14 years now