Simulation of Downsampling, Harris Corner Detector, Canny Edge Detector, Triangulation, Stereo Reconstruction and Classification with Convolutional Neural Networks using Python
- (1_sample.ipynb) -> Exploring the properties of spatial sampling by considering an already sampled input image and resampling it with a lower sampling rate (downsamling / decimation).
- (1_harris.ipynb) -> Implementing a Harris corner detector to extract corners of an image used as features for machine learning algorithms.
- (1_canny.ipynb) -> Coding a Canny edge detector in 2D to extract edges of an images as useful features.
- (2_stereo.ipynb) -> Computing a 3D reconstruction of a given image pair by first finding corresponding points in the two images, then performing triangulation to recover the 3D world coordinates and finally implementing the stereo reconstruction of the scene.