Questions tagged [computer-vision]
Questions about algorithms for processing and analyzing images and videos.
281
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Can computer vision process 3D “images” directly?
Most CV algorithms deal with 2D images produced by cameras. However, sometimes we need to process 3D “images” (I don’t know how to call them). For example, CT and MRI produce 3D radiographs. ...
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Interpreting results of Sobel Edge Detection
I am implementing A No-Reference Perceptual Blur Metric paper.
Somewhere in the prep steps they mention the use of vertical Sobel filter for finding vertical edges.
The algorithm is summarized in Fig....
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Tolerance of object size variation for computer vision
relatively new to Computer Vision.
Lets say for example, I have a sequence of images of a car driving away from a static camera into the horizon, and I want to use this image set for some bog standard ...
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Kitti dataset Pi matrix. Pi is the same with Pi_rect?
Do i understand right that Pi in KITTI calib.txt files is the same with Pi_rect in their paper?: Pi_rect from paper
But what i can't understand it why last column in projection matrix in the paper ...
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What is the best way to predict a continuous score based on image characteristics(pixels)?
I have a dataset with 9912 images, what is the best way to train them based on the pixels and features of the images to be able to predict a continuous target ranging from 1 to 100? The goal is to ...
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Data source for Highway autonomous driving
I am working on a object detection system for autonomous driving.
I have tried it in controlled environments.
I would like to try it on videos taken from a camera in front of a car running on a ...
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17
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How to convert segmentation annotations to bounding box annotations?
I am working with YOLOV5, and creating a dataset with Robolflow which requires me to enter annotations in bounding box format. I want to use a subset of the ADE20K which already has segmentation ...
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Bold text detection
I am currently working on a project where I need to detect bold text on a multi font-size image (so no mathematic morphology possible). This detection will be used in parallel of an OCR system (with ...
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Is there a standard data structure for sparse block matrices where each block has the same value?
I'm looking for a data structure that could represent a (sparse) matrix of submatrices with equal-valued elements by the individual blocks' coordinates and value; for example, it would encode:
\begin{...
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What is the difference between discriminative information and diverse information in computer vision?
I am studying deep learning and found a lot of papers in which they tried to distinguish between discriminative information and diverse information.
What disctiminative and diverse information mean? ...
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Which algorithm is most suitable for comparing two images to find differences?
I have two images of two objects that are suppose to be exactly the same.
I use one for reference and one as my model.
I want to find an algorithm that will help me find on which areas these images ...
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Morphological closing by axis-aligned rectangles for run-length-encoded binary images
A binary image is encoded as a sorted array of non-overlapping runs, which represent value 1. Each run is defined by $r$, $c_s$ and $c_e$, with $c_s \leq c_e$. These are the row, starting and ending ...
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Why are point clouds useful for large datasets of geometries?
In my computer graphics course I came across this "pro" for point clouds:
Useful for large datasets (>> 1 point / pixel)
I'm trying to wrap my head about it, I know drawing is ...
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How to calculate 3D depth reconstruction of an image using a set of 3 similar images?
From a set of 2 similar images taken some small translation distance apart, we can calculate the depth of the a particular point, if we know the distance of a reference object in the frames. This is ...
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Is multicolor vision really necessary for CV?
Having the ability to see 2 or more colors can improve the sensitivity of nuances but greatly increases the complexity of image processing algorithms. I once thought that 3 colors are necessary for ...
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142
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Turing Machine for Check Validity of Unary Multiplication (A=B*C)
I have a lot of difficulty with the turing machines. I understand the theory well, but I need help with a lab exercise...
Design a SINGLE TAPE Turing Machine that accepts the language $a =
> b \...
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Hand Landmark Coordinate Neural Network Not Converging
I'm currently trying to train a custom model with tensorflow to detect 17 landmarks/keypoints on each of 2 hands shown in an image (fingertips, first knuckles, bottom knuckles, wrist, and palm), for ...
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Methods to interpolate between 2 topologically identical 3D meshes
I have 2 3D surface meshes. These meshes have vertex-correspondence and have the same topology (same edges and triangles connecting the vertices). However, the vertex positions (3d coordinates) are ...
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L1 loss different scale for small or large boxes [object detection]
In this paper[1] there is a section where it is mentioned that “The most commonly used L1 loss will have different scales for small and large objects even if their relative errors are similar”.
I don’...
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Is it correct to perform feature distillation when both the teacher and student model architectures are completely different
When the architectures of the teacher and student networks do not just vary by network depths but are completely different, is it logically correct to distill knowledge at feature level (say from ...
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Requesting help for monitoring data drift in instance segmentation model
happy to be here.
I need some guidance. I am writing a project on data drift. I have trained an instance segmentation model on the Cityscapes Dataset, to detect pedestrians. The model I trained was on ...
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Disparity calculations and camera centers
I'm learning about the disparity calculations and want to calculate the distance for a known pixel. I have calibrated and rectified images already. Now I just want to calculate Z for some pixel x,y.
...
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How to calculate image gradient with respect to homogeneous coordinate vector?
I want to use the direct method of computing the homography between two images to estimate the plane parameters (normal and depth [= distance from camera]) of a 3D plane.
If we have two images of the ...
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Different types of interpolation used in computer vision
Known codition:
four pixels shown in the image $(i,j),(i+1,j),(i,j+1)$ and $(i+1,j+1)$
$a=0.9$ and $b=0.4$
I was able to calculate the bilinear interpolation using the algorithm provided by https://...
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Is the Jacobian matrix calculation process correctly on this energy function?
When I implemented the paper Dynamic Fusion published in 2015 CVPR, I came into the trouble with how to solve the energy function:
$$E(W_t, V, D_t, \mathcal{E}) = \text{Data}(W_t, V, D_t) + λ\text{Reg}...
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Will we be able to « see » COVID (or any other viruses) in our environment in the future?
Given that cameras, computer vision and AI are constantly evolving with greater zoom, macro, processing power... is it possible that some day cameras would be able to « scan » a room and detect COVID (...
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325
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What is the best way to compare two images for similarity if the brightness of the second image was changed?
I calculate similarity percent between two images. Another image is the same with changed brightness. I've already tried comparing by pixel (euclidean distance for grayscale and 0/1 values), comparing ...
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18
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How to correct distortion from stitching dual camera to estimate homography
I am trying to distort the image obtained from two cameras that generate a stitching image. Unfortunately, I do not have access to the cameras and I would like to know what could be the best way to ...
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point of view of each pixel with regard to the whole image
I am looking for a technique or an algorithm that outputs a unique number/vector for each pixel of the image. I want to give the pixel a perspective so the neighboring pixels have more visibility and ...
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Distance transform with variable "impedance"
The distance transform gives the distance of each pixel in a mask to the nearest zero.
E.g. lets take the Taxicab distance transform:
...
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Drawing a planar intersection from stereo camera
I wanted to recreate the results of this paper, where the authors draw the boundary between two parts of a building from stereo images. The authors mention that the epipole and the intersection of the ...
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Would a five color display have higher image quality than an RGB display?
We have five types of photo receptors in the eyes but computer color systems just use the three red, green and blue.
Three could be motivated if rod and melanopsin sensations are just linear ...
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Which pretrained model will be best for my dataset?
I am trying to build a classification algorithm having 28 classes. These classes consists of Logo of companies like adidas , Nike etc. I have very low dataset below than 100 images and greater than 70 ...
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A few questions regarding simCLR
I read this paper obout simCLR and I didn't understand a few things:
What is the goal of the temperature parameter τ? How does it affect the loss?
What will be the value of the loss for a batch with ...
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Stuck on Ejaz and Islam's paper about Masked Face Recognition
I'm relatively new in machine learning and I am trying to put together my undergraduate thesis on masked face recognition.
I've read Ejaz and Islam's paper (available at https://www.researchgate.net/...
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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. ...
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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 ...
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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}
...
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45
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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
...
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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 & \...
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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 ...
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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 ...
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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 ...
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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 ...
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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 ...
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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 ...
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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 ...
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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 ...
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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,...
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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 ...
