ADR Awareness Centre

Deep Convolutional Generative Adversarial Networks (DCGAN) have been used to generate highly compelling pictures or videos, such as manipulated facial animations, interior and outdoor images, videos.

This lecture overviews  digital images, image processing and image analysis. 1D signals, 2D signals (images), 3D signals (videos, medical volumes) are presented. Multichannel images, e.g., color and multispectral images come next.

This lecture overviews Computational Geometry that has many applications in Computer Graphics, Robotics, Geographic Information Systems, CAD/CAM.

This lecture overviews Mathematical Morphology  that has many applications in digital image processing, analysis and computer vision.

This lecture overviews Shape Description that has many applications in object recognition and image compression. It covers the following topics in detail: Chain Codes. Polygonal Contour Approximations. Fourier Descriptors. Quadtrees.

This lecture overviews 2D Image Registration that has many applications in photography, computer vision, and medical imaging.