Euclidean distance & signed distance transform for multi-label 3D anisotropic images using marching parabolas.
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Updated
Jul 17, 2024 - C++
Euclidean distance & signed distance transform for multi-label 3D anisotropic images using marching parabolas.
Implementations of different algorithms for building Euclidean minimum spanning tree in k-dimensional space.
This project consists of implementations of several kNN algorithms for road networks (aka finding nearest points of interest) and the experimental framework to compare them from a research paper published in PVLDB 2016. You can use it to add new methods and/or queries or reproduce our experimental results.
C++ 3D Vector class and utilities for common vector operations such as euclidean distance, multiplication of vectors, dot, cross, vector-plane intersect, triangle distance, to/from cartesan & spherical coordinates and more.
This project is about real-time 2D object recognition. The goal is to have the computer identify a specified set of objects placed on a white surface in a translation, scale, and rotation invariant manner from a camera looking straight down. The computer should be able to recognize single objects placed in the image and identify the objects.
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