Skip to content

improve computer-vision-readme #14143

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Open
AhmadObeid wants to merge 1 commit into
base: master
Choose a base branch
from
+11 −5
Open

improve computer-vision-readme #14143

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
16 changes: 11 additions & 5 deletions computer_vision/README.md
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -1,10 +1,16 @@
# Computer Vision
Computer vision is an interdisciplinary field focused on enabling computers to gain high-level understanding from images and video—automatically extracting, analyzing, and interpreting visual information to produce outputs such as labels, measurements, 3D structure, or decisions.

Computer vision is a field of computer science that works on enabling computers to see, identify and process images in the same way that human does, and provide appropriate output.
​

It is like imparting human intelligence and instincts to a computer.
Image processing and computer vision are a little different from each other. Image processing means applying some algorithms for transforming image from one form to the other like smoothing, contrasting, stretching, etc.
In practice, computer vision methods combine geometry, physics, statistics, and machine learning to connect pixel data to semantic concepts like objects, actions, and scenes.

While computer vision comes from modelling image processing using the techniques of machine learning, computer vision applies machine learning to recognize patterns for interpretation of images (much like the process of visual reasoning of human vision).
​

* <https://en.wikipedia.org/wiki/Computer_vision>
## Image processing vs. computer vision

Image processing primarily transforms images (e.g., denoising, contrast enhancement, geometric warping) where the output is another image.

​

Computer vision uses images/video as input but often outputs information about the scene (e.g., detections, segmentation masks, pose estimates, tracking results, or a decision), which may then drive downstream behavior in a larger system.