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Python tool for analyzing absorbing Markov chains, compute expected steps to absorption from transient states. Applications in predictive maintenance, reliability engineering, and stochastic process analysis.
3D reconstruction of indoor environment using the best (Feature Extractor+ Feature Matcher) combination validated by the end-to-end spatial density and positional accuracy of the generated 3D point cloud.
Simple Python script for testing the robust estimation of the fundamental matrix between two images with RANSAC and MAGSAC++ in OpenCV, and reproducibility across 100 runs.
Implementing the concept of Stereo Vision. We are given 3 different datasets, each of them containing 2 images of the same scenario but taken from two different camera angles. By comparing the information about a scene from 2 vantage points, we can obtain the 3D information by examining the relative positions of objects.