Developing a Low Cost 2D Smoke PIV setup for the WindAI lab
-
Updated
Jun 17, 2024 - Jupyter Notebook
Developing a Low Cost 2D Smoke PIV setup for the WindAI lab
A C++ implementation of Block Matching Algorithm for stereo matching. It uses the "SAD" (Sum of Absolute Differences) similarity metric.
A C++ implementation of Block Matching Algorithm for image denoising. It uses the "SAD" (Sum of Absolute Differences) similarity metric.
An implementation of the block matching stereo vision algorithm.
A Matlab implementation of Dynamic Programming Algorithm for stereo matching. It provides vertical smoothness by trying to keep the current path close to the former path using an additional discontinuity cost.
Add a description, image, and links to the sum-of-absolute-differences topic page so that developers can more easily learn about it.
To associate your repository with the sum-of-absolute-differences topic, visit your repo's landing page and select "manage topics."