3D Computer Vision for MFF-UK - labs

• numpy
• matplotlib
• opencv + opencv-contrib

Common

• Data for all tasks.
• tools.py python package with helper functions

Lab 1: introduction to image processing methods

• Processing of digital image in python language (jupyter notebook).
• Task: histogram equalization.
• Task: image rotation.

Lab 2: image segmentation by k-means

• Task: k-means color segmentation.

Lab 3: seeking lines using RANSAC

• Points and lines, edges (jupyter notebook).
• Task: seeking lines in image.
• (slides) (in construction)

Lab 4: radial distortion

• Task.
• data

Lab 5: measuring with a single calibrated camera

• Task (jupyter notebook).
• image
• whiteboard 1, whiteboard 2

Lab 6: epipolar geometry

• task
• data
• (slides) (in construction)

Lab 7: two view reconstruction of points

• data
• whiteboard 1, whiteboard 2, whiteboard 3

Lab 8: processing 3D data

• task
• data