Questions tagged [computer-vision]
The goal of computer vision is an automatic extraction of information out of images. It includes methods for acquiring, processing, analyzing, and understanding images and high-dimensional data from the real world in order to produce numerical or symbolic information, e.g., in the forms of decisions. The image data can take many forms, such as video sequences, views from multiple cameras, or multi-dimensional data from a medical scanner.
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Guidelines for image detection model for statis sample
I have 20,000 plus images of art (paintings, sculptures, jars, etc). My goal is creating a computer vision model that, from an input (image), identifies the exact same piece of art and returns its id, ...
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What are the most important evaluation metrics for anomaly segmentation?
When people talk about anomaly segmentation models, they often mention evaluation metrics like F1 score, AP, AUROC, and AUPRO. But which one really matters most when comparing models, and why? I'm ...
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Efficiently detect overlaying ellipses in distorted images
I'm currently facing the problem of efficiently detecting (special) ellipses in edge images. These images are given (i.e. previous image processing is impossible) and contain quite some noise. I need ...
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Video frame homography alignment
My project requires me to track objects such as cars via a drone.
I have a live video stream in which I would like to detect and track objects, the view doesn't change that much as the drone is nearly ...
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Effect of a flipped image on projection matrix and the intrinsic/extrinsic calibration matrices
I already asked this question on StackExchange Mathematics, but it seems too domain-specific. Searching where to put Computer Vision related questions it was suggested to use Computational Science ...
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Guaranteeing that the numerical approximation to $B = K^{-T}K^{-1}$ is positive definite in Zhang's algorithm
In Zhang's Algorithm to determine the intrinsic parameter matrix $K$ (see here for slides talking about this), we instead compute the matrix $B = K^{-T}K^{-1}$ since we obtain a linear system in the ...
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How to find fundamental matrix based on other fundamental matrix and camera movement?
I am trying to speed up some multi-camera system that relies on calculation of fundamental matrices between each camera pair.
Please notice the following is pseudocode. ...
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FEM : energy minimization VS PDE solving
Engineering FEM
When I studied engineering, I learned the traditional approach for finite elements for elasticity. The point was to solve the PDE $-div(\sigma)=f$ as:
Multiply your PDE with a test ...
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Is today's enterprise computing sytem architecture with CPU, GPU and DPU is still Von Neumann architecture?
The current enterprise server rack has, in most cases, more than 1 CPU socket per board and a bunch of graphics card together with a data processing unit on a single board in a node. Several such ...
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Detect all geometric objects in an (edge) image
EDIT: Added another, more suitable, example below.
Disclaimer: With edge map I mean an image given as bitmap just consisting of black and white pixels.
Short description:
Briefly, I'm searching for ...
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Alternatives to breadth-first-search in 3D grid cluster detection?
I've got a question about a good way to find the quickest algorithm for my problem:
problem:
I've got a 3D cubical grid containing voxels that are either 1 or 0. It is stored as a flattened array. If ...
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SHREC 2010 Descriptors
I will appreciate if I may find someone how can clarify for me the part regarding the quality of feature descriptor, shown in the figure below:
and this screenshot is from the article: SHREC
All my ...
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Evaluate 3D Shape Descriptor
I'm trying to create my own 3d shape descriptor, the idea is that how I may evaluate how much my descriptor is well and good?
What I checked is that they evaluate descriptors through shape matching, ...
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Fitting a plane with the Prewitt gradient operator
Prewitt gradient operator
Show that the Prewitt gradient operator can be obtained by fitting the least-squares plane through the 3 × 3 neighborhood of the intensity function.
Hint: Fit a plane to ...
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Compute point-spread-function between original and blurred image
Take an image $f$ with some characters on it (below, hjFu3).
Let's apply a filter $h$ on it to obtain a second image $g$ where the text is not visible.
Is there a way to compute what kind of filter $h$...
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