


Deep Object Detection
Recently, Convolutional Neural Networks (CNNs) have been used for object/target (e.g., face, person, car, pedestrian, road sign) detection with great results.



3D Image and Shape Compression
This lecture overviews 3D Image and Shape Compression hat has many applications in stereo imaging, cinema and 3D TV.



Active and Passive 3D shape reconstruction methods
This lecture overviews Active and Passive 3D shape reconstruction methods that has many applications in 3D computer vision, autonomous systems perception and medical imaging.



Special topics in Object Detection
This lecture overviews Special topics in Object Detection that has many applications in embedded computing and drone vision.



Transform Video Compression
This lecture overviews Transform Video Compression that has many applications in digital TV broadcasting, videoconferencing, video streaming and social media.



Video Digitization
This lecture overviews Video Digitization that has many applications in digital video and TV. It covers the following topics in detail: Video scanning and sampling. 3D data types (Digital video signal, volumetric images).