56
votes
Accepted
Is deep learning killing image processing/computer vision?
On the top of this answer, you can see a section of updated links, where artificial intelligence, machine intelligence, deep learning or and database machine learning progressively step of the grounds ...
- 31.7k
22
votes
Is deep learning killing image processing/computer vision?
First, there is nothing wrong with doing grad work in image processing or computer vision and using deep learning. Deep learning is not killing image processing and computer vision, it is merely the ...
- 5,091
18
votes
Why color is coded with two numbers rather than one?
Note: also check out the comments for more pointers.
I'll assume that you think of wavelengths, or hue and saturation, which is why you think you could maybe represent color as a single value.
You ...
14
votes
Accepted
Auto Detection of Rotation Angle on Arbitrary Image with Orthogonal Features
If I understand your method 1 correctly, with it, if you used a circularly symmetrical region and did the rotation about the center of the region, you would eliminate the region's dependency on the ...
- 13.5k
13
votes
Is deep learning killing image processing/computer vision?
No Deep Learning isn't killing Image Processing. You need huge datasets and lots of computational resources to do deep learning. There are plenty of applications where it is desirable to be able to do ...
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13
votes
Is deep learning killing image processing/computer vision?
Today we had a discussion with a friend of mine. It was a rainy day here in Munich, while a large portion of Europe was having a kind of sunny atmosphere. People were sharing photographs in social ...
- 5,465
10
votes
Accepted
When is a network called end-to-end training?
From feature extraction to learning the desired result, deep learning algorithms can act as full pipelines for solving tasks at hand. End-to-end learning usually refers to omitting any hand-crafted ...
- 5,465
9
votes
Best way of segmenting veins in leaves?
Following on from the above excellent answer, here is how to do it in python using scikit funcitons.
...
9
votes
Accepted
How to calculate particles sizes for spheric particles with overlapping and superposition? (Example image included)
Here is what I experimented with:
Use ELSD to generate elliptic contours. You could basically use any edge detector, but since in the following stages I will benefit from circle detectors, it is good ...
- 5,465
9
votes
Accepted
Image processing vs Computer vision?
Digital image processing is an extension of digital signal processing and linear system theory into two dimensional signals.
Image processing involves all low level tasks such as filter design and ...
- 28k
8
votes
Is deep learning killing image processing/computer vision?
The short answer is, No. DL can recognize a mug in a photo, but this doesn't kill signal processing in anyway. That said, your question is quite relevant in these troubled days. There is a nice panel ...
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8
votes
Difference between optical flow field and motion field?
well, have you ever seen a rotating barber's poll?
It looks like the stripes are moving up (optical flow), but of course the motion of the thing is a rotation in the horizontal plane.
The rationale ...
- 29.6k
7
votes
Can deep neural networks achieve real-time video analysis?
Nvidia seems to have published some white papers comparing DNN inference performance between high-powered CPUs and (of course) Nvidia GPUs. (one example)
Ballpark seems to be that some systems can ...
- 35.2k
6
votes
Is deep learning killing image processing/computer vision?
Data engineering is still used in machine learning to preprocess and select the data fed to DNNs to improve their learning time and their evaluation efficiency. Image processing (the stuff between ...
- 35.2k
6
votes
Accepted
Why do we need 4 points for homography but 7/8 points for fundamental matrix calculation?
It is because in the case of fundamental matrix, each correspondence point relates to only one constraint(i.e it maps a point to a line in other image). Hence 8 correspondence points are required.
...
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6
votes
Accepted
Palm Pilot Graffiti
If you are looking for a good explanation of some of the methods used in projects like GRAIL look here:
Back to the Future of Hand Writing Recognition
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6
votes
Is there a penis-detection demo similar to face-detection?
Is there a script / tutorial / demo for penis detection?
[...]
Fairly serious quesion, future of internet memes is at stake
Yes, there is.
Common Pattern Recognition techniques will be able to spot ...
- 10.6k
6
votes
Accepted
Number of dimensions? Color image vs gray scale image? Colour video vs gray scale video? Especially in the context of MATLAB
Color images are usually modeled as a vector valued function of 2D:
$$ I : \mathbb{R}^{2} \to \mathbb{R}^{3} $$
Namely for 2D coordinates input it outputs 3 values (RGB).
Hence images are 2D functions....
- 19.3k
6
votes
Accepted
Universal Bases (Dictionary) for Image Compression
This is a great and interesting question.
There are 2 ways to look at it, empirically and analytically.
But before we start, a major detail is that when dealing with images we mainly talk about the ...
- 19.3k
6
votes
Why color is coded with two numbers rather than one?
Color spaces are represented by three numbers (not two).
That's a direct consequences of the human visual system. Humans have three different type of color receptors in their eyes. Their spectral ...
- 42.7k
6
votes
Accepted
How do I estimate the pose of a camera looking at a flat horizontal surface?
Your problem is called pose estimation. The OpenCV function is called solvePnP(). Be aware that the intrinsic camera matrix must be known in advance.
If you don't ...
- 531
5
votes
Is deep learning killing image processing/computer vision?
A thorough understanding of signal processing (along with linear algebra, vector calculus, mathematical statistics etc.) is imo indispensable for non-trivial work in the field of deep learning, ...
- 180
5
votes
Removing Noise from Dental Radiography
As far as I understood, by image derivation you mean extracting edges. I would recommend to filter the image by a relatively large Gaussian filter. If computational cost of image derivation is ...
- 1,976
5
votes
Accepted
Detect circles in image
1) Normalize your image to range $[0,255]$.
2) Select a threshold and threshold the image. For your image, what worked is: $\tau=[140-150]$.
3) Compute a Euclidean distance transform.
4) Apply ...
- 5,465
5
votes
Auto Detection of Rotation Angle on Arbitrary Image with Orthogonal Features
There is a similar DSP trick here, but I don't remember the details exactly.
I read about it somewhere, some while ago. It has to do with figuring out fabric pattern matches regardless of the ...
- 7,520
5
votes
Auto Detection of Rotation Angle on Arbitrary Image with Orthogonal Features
This is a go at the first suggested extension of my previous answer.
Ideal circularly symmetric band-limiting filters
We construct an orthogonal bank of four filters bandlimited to inside a circle ...
- 13.5k
5
votes
Fundamental matrix rank
This is not a proof, but maybe an intuition why this conjecture can be true for the points in general position. From the properties of rank we know that:
$$
\mathrm{rank}(F) = \mathrm{rank}(F^\top) = ...
- 5,465
5
votes
Universal Bases (Dictionary) for Image Compression
As a complement to the neat answer by @Royi, I would add that "sparsity" is originally a heuristic principle in science, that applies well to many interesting really world data and problems.
...
- 31.7k
5
votes
How do I estimate the pose of a camera looking at a flat horizontal surface?
All of this is written assuming that you have already calibrated the camera for its intrinsic matrix. If you have not done this, then you need to do so beforehand, or you need to look to the answer ...
- 11.9k
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