Questions tagged [computer-vision]
Questions about algorithms for processing and analyzing images and videos.
261
questions
-1
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0answers
16 views
Machine learning, computer vision & image processing algorithms for recognition & detection of computer peripherals images
https://www.google.com/search?sxsrf=ALeKk01imob9GW5QnDE8PEmLvGzh5y0G-Q%3A1604724383855&source=hp&ei=nyamX8vwMaif4-EP096Z0AI&q=computer+peripherals&oq=Computer&gs_lcp=...
0
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78 views
I think I've found a flaw in this paper: On finding a minimal enclosing parallelogram. Can someone verify it for me?
On finding a minimal enclosing parallelogram
I think the problem will occur when we only consider the first clockwise antipodal vertex. I think instead we should consider an edge when there are two ...
1
vote
1answer
19 views
How to get a heatmap of pixel influences from a Convolutional Neural Network
If I have a CNN model (let's say I'm using Tensorflow and Keras) that I've trained for a particular task. For example, let's say I've trained it to detect the difference between an apple and banana. ...
0
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0answers
25 views
Is deepfake detection viable?
I'm thinking of doing a project on deepfake detection, but I'm not entirely sure if it is viable. Based on my understanding, how it works is that deepfake generation programs have a generative and ...
0
votes
0answers
37 views
Interpreting the accuracy of solutions to the correspondence problem
I have two pictures of the same object, taken by a car travelling down the road like shown on the right side of the image below. I want to find pixels of the object in each frame that correspond to ...
1
vote
0answers
78 views
trouble recovering rotation and translation from essential matrix
I am having trouble recovering rotation and translation from an essential matrix. I am constructing this matrix using the following equation:
\begin{equation}
E = R \left[t\right]_x
\end{equation}
...
0
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0answers
14 views
Why can we not obtain a unique solution for orientation from Essential Matrix?
In computer vision, why cannot we obtain a unique solution for the projection matrix given an Essential Matrix. Why is it said that it can only be obtained upto 'scale' and what does this mean?
2
votes
1answer
26 views
Matching superimposed image
We are given two grayscale images, one of which contains a large, mostly contiguous patch from the other one. The patch can be altered with noise, its levels may be stretched, etc.
Here's an example
...
0
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0answers
12 views
Are there some papers or books that compactly elaborate the essential part of the multiple view geometry?
I am a novice to visual SLAM and computer vision. Recently I've read a paper "A micro Lie theory for state estimation in robotics" dedicated to introducing the essential part that necessary to ...
0
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0answers
41 views
Computing structure tensors
As far as I understand, the structure tensor is:
$$
M = \sum_{(x,y) \in W} \begin{bmatrix} I_x^2 & I_xI_y \\ I_xI_y & I_y^2 \end{bmatrix} =
\begin{bmatrix} \sum_{(x,y) \in W} I_x^2 & \...
1
vote
0answers
18 views
How are epipolar lines useful in computer vision?
Why do use epipolar lines and what are it's benefits in computer vision ?I am unable to find the uses of epiploar lines and how they are helpful although i am aware of epiploar geometry concepts.
I ...
0
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0answers
16 views
3D reconstruction from multiple images
Sorry if it's a trivial question but I'am a beginner.
I am working on 3D reconstruction from multi-images project.
I am working with these datasets.
There is a par.txt file including the camera ...
1
vote
0answers
31 views
3D Reconstruction from multiview calibrated camera
I have a calibrated camera whose intrinsics were calculated prior.
Suppose I have multi images with the same camera. Using the first two views.I have the
1) initial reconstruction using 8 point ...
0
votes
1answer
37 views
Face recognition system with a sparse dataset
I have a dataset of 100 ID's, each ID with only a single unique face image. How can I develop an effective face recognition system to recognise only these faces?
I was thinking Deep Learning but the ...
0
votes
1answer
35 views
Performing semantic segmentation on images on word documents
At the moment, I'm making a comparative analysis between two different neural networks for a class. The problem they are both trying to solve is detecting tables on documents. Below is an example of ...
0
votes
0answers
7 views
confusion regarding mid level image processing task?
I am reading gonzalez chapter1
As shown highlighted in attached snapshot, what is meant by this mid level task:
description
of those objects to reduce them to a form suitable for computer processing,
...
1
vote
0answers
18 views
How can I compare two faces using facial landmarks?
I'm using first_order_model for an expression transfer between an video and a static image.
Part of the algorithm makes a facial comparison to get the frame in the video where the face is best ...
3
votes
0answers
12 views
Pattern detection by stacking convolutions
CNN use convolutions to perform many tasks. In some architecture, the first layer(s) are basic filters such as Gabor's. Many CNN work by stacking a number of convolution layers to build detectors ...
0
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0answers
28 views
I don't understand formula meaning of computer vision Paper
I am master degree student at Computer Science Department.
I started master degree at this year.
Now I'm reading two papers about computer vision.
Actually before time I didn't have experience about ...
1
vote
0answers
21 views
What is the best algorithm for detecting the texture of a person's clothes in real-time for a mobile robot?
I am working on the human following robot. the robot extracts a feature of clothes's texture and distinguishes between the people that they stand up in front of the robot. So, the robot needs that it ...
1
vote
2answers
46 views
Using a rotation matrix to transform/shift a pinhole camera
I have a pinhole camera model with the following extrinsic (in Earth Centered, Earth Fixed Coordinate, (ECEF) system) and intrinsic parameters.
focal length (x,y) = 55000 px, optical center = (2400,...
2
votes
0answers
15 views
Contrast detection implementation for blur detection in microscopic image
I am currently doing a project where I have to detect if the the microscopic images given are blurry. I tried canny edge detection but they seem to perform not so good in detecting blur. I realised ...
0
votes
0answers
17 views
Laser Plane Estimation for Laser-Camera system?
I have to set up a system of a laser line/ plane projector and a web camera to localize the 3D position of the laser in the camera image. I've read / come across several resources but the idea is ...
1
vote
0answers
36 views
Image/Video deblurring
I am currently working on an algorithm that will help to improve shaken blurry images. I know there are plenty of them, such as deconvolution, that is pretty useful though I don't really know how to "...
0
votes
0answers
13 views
Using the fundamental matrix for triangulation process?
Given the projection matrices from two cameras ($P$,$P'$) and a pair of corresponding points $(x_i,x'_i)$, it is straight forward to compute the triangulation using $$x_i=PX,x'_i=P'X.$$
I understand ...
1
vote
0answers
40 views
Why HOG angular bins have values between 0 and 180 degrees?
I have learned that HOG angular bins have values from 0 to 180 since the algorithm uses unsigned gradients. I am failing to understand why.
As far as I know gradient orientation is calculated as
<...
0
votes
0answers
17 views
Relation between shape descriptors and featured connected component in matching problems
Hope I'm asking in the correct community, from the title, I need a clarification regarding the idea of dealing with 3d descriptor and featured connected components.
I have this approach: model -> ...
0
votes
0answers
32 views
Using The Output Of Semantic Segmentation In Autonomous Driving
I have read a couple of papers on semantic segmentation and ran this github code (which was trained on Cityscapes) against a KITTI sample image and it did pretty well (as seen below).
I get that ...
1
vote
1answer
40 views
Text detection in computer vision
I'm curious about the way text recognition works in machine learning(or more generally, the question of object vs not object) in computer vision.
How are systems trained when the not-object data set ...
1
vote
1answer
13 views
“higher intensity” and “high signal intensity” in images
I'm newbie in Computer Vision and image processing.
I'm reading the article "Automated White Matter Hyperintensity Detection in Multiple Sclerosis Using 3D T2 FLAIR" and it said:
2.2.4. WMH ...
0
votes
0answers
18 views
Does white balance correction improve the performance of visual object detection?
Visual object detecion aims to locate and recognize objects of interest in images.
I wonder, does white balance correction contribute to better performance of visual object detection? Are there any ...
0
votes
0answers
31 views
The rotation matrix of a stereo pair with the cameras are horizontally aligned
Please forgive my ignorance on this. It seems like very soon I will have a D'OH moment and it will click.
In the meantime, I am having trouble thinking about the joint rotation-translation matrix of ...
0
votes
0answers
22 views
Determine intrinsic camera parameters using one picture and a known point-cloud of the scene
I have a point-cloud of a city, and a perspective image of the same city. Is it possible to determine the intrinsic camera parameters, namely, position w.r.t. world coordinates, rotation, and focus?
...
0
votes
0answers
15 views
Bi-quadratic Interpolation
If bilinear interpolation is faster (uses 4 data points) but less accurate than bicubic interpolation, which uses 16 data points, why is there no "bi-quadratic" interpolation, which would use 9 data ...
0
votes
0answers
18 views
Measuring distance in arbitrary scale point cloud
I have one point cloud(point cloud of human feet) of arbitrary scale. If I have another point cloud(of human feet) with dimensions known, can I get the dimensions of a first point cloud? How will ...
3
votes
0answers
32 views
Partial derivatives of bilinear Sampling
I'm going over the paper Spatial Transformer Networks (link). On section 3.3 they introduce bilinear sampling kernel (Eq. 5)
$$
V_{i}^{c}=\sum_{n}^{H} \sum_{m}^{W} U_{n m}^{c} \max \left(0,1-\left|x_{...
2
votes
2answers
219 views
How to detect number of specific object in an image and it's diameter(size)?
I have two images of IRON RODS (i.e only two images) and I want to detect how many rods are there in each image and get the diameter of each rod in a image?
I don'...
1
vote
0answers
55 views
RGBD alignment without explicit transformation between RGB and depth
I have a set of RGB-D scans of the same scene, corresponding camera poses, intrinsics and extrinsics for both color and depth cameras. RGB's resolution is 1290x960, depth's is 640x480.
Depth is ...
4
votes
1answer
442 views
Difference between Image Analysis and Computer Vision
I have searched the web and I have only found the differences between Image Processing and Computer Vison (also in this website too). In addition, sometimes Image Analysis is confused with Image ...
3
votes
0answers
18 views
Using colors in feature detection
Is there any feature detector or extractor that uses color information?
Detectors like SURF and SIFT and many others work with grayscale. How do you think, may be transform can be sued to generate a ...
2
votes
0answers
41 views
Do image artefacts reveal the original image orientation?
An image is taken and then rotated by an arbitrary angle and cropped. Let us assume that the original image is rather meaningless and is not aligned in any way. Given the rotated image, is it ...
0
votes
1answer
109 views
Computer Vision Techniques to find Slope of beach in the 2D Images?
What I am planning to do is to calculate the height and estimate the slope of the segmented Object. The camera will be static and the Object of Interest is the slope of the beach.
I am finding harder ...
0
votes
0answers
31 views
How to transform an arbitrary graph into a fixed vector representation?
Actuality I work in computer vision, specifically on a problem known as "scene graph modeling." This problem aims to convert an image $I$ in a graph $G=(V,E)$ where the nodes $V$ represent the objects ...
1
vote
0answers
10 views
Descriptors in key-features during mapping
This question is related to this question.
In SLAM-type applications the feature detectors like SIFT are used for finding keypoints in the images to be matched. The candidate keypoints are matched by ...
2
votes
1answer
44 views
How are image processing and computer vision related to artificial intelligence.?
We have often heard both terms image processing and computer vision in AI sessions
But i am confused, how they both are related to artificial intelligence?
1
vote
0answers
30 views
Where is the epipole if one camera center is not in view of the other?
In the book multiple view geometry, the epipole is defined as follows:
The epipole is the point of intersection of the line joining the
camera centres (the baseline) with the image plane. ...
1
vote
0answers
15 views
Does the illumination color (red/blue/green) has any effect over the disparity map generated from a stereo image?
I have a working model that creates a disparity map using stereoscopic image processing using opencv. I am thinking of improving the disparity map by using illumination and stuck with different ...
1
vote
1answer
45 views
How to calculate point in 3D space from multiple perspective
I have multiple camera in different points.
I have their position and rotation as $(x,y,z)$ , $(\alpha,\beta,\gamma)$ or $( roll, pitch, yaw)$ .
And I have output like this :
Feed from camera-1, I ...
1
vote
0answers
51 views
What is the common way to approximate contour with quad?
I'm trying to find quads on stream from my webcam. cv2.HoughLinesP sometimes returns more lines then needed. How can I approximate them to contour of exactly 4 points that fits returned result best? I'...
3
votes
2answers
143 views
How to detect facial landmarks - using haar and other way?
I have done some projects using haar cascade(Ex.- Face-detection,Eye inside face detection,shoe detection etc), I also have some knowledge about it. I have trained my own models learning from youtube, ...
