Displaying 205 resources
Introduction to 2D Computer Vision
This lecture overviews digital images and 2D Computer Vision (image analysis).
Neural Semantic 3D World Modeling and Mapping
This lecture overviews neural semantic 3D world modeling and mapping that has many applications in 3D world mapping and in attaching semantics to the world maps It covers the following topics in detail: neural disparity/depth estimation and joi
Image Registration
This lecture overviews 2D Image Registration that has many applications in photography, computer vision, and medical imaging.
Simultaneous Localization and Mapping
The lecture includes the essential knowledge about how we obtain/get 2D and/or 3D maps that robots/drones need, taking measurements that allow them to perceive their environment with appropriate sensors.
Symbolic, Statistical, and Causal Representations
In machine learning, we use data to automatically find dependencies in the world, with the goal of predicting future observations.
Shape Description
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.