Lectures related to Automatic Vectorization: Principles and Applications

Explores the evolution of edge detection techniques, from Canny to deep learning insights.

Explores anharmonic cross ratio, projective geometry birth, and practical applications.

Discusses edge detection techniques and the evolution of deep learning in neural networks.

Explores directional image analysis and the implementation of steerable filters for edge and ridge detection.

Explores neighborhood averaging, Gaussian smoothing, median filtering, contrast enhancement, and edge detection in image processing.

Explores the calculation of correlation energy and CSF's in electronic structure calculations.