


Real-World Data Science Projects Management
Real-World Data Science Projects involve the practical application of data science methodologies to solve real-world problems.



Dynastic Potential Crossover Operator
An optimal recombination operator for two-parent solutions provides the best solution among those that take the value for each variable from one of the parents (gene transmission property).



Edge Detection
This lecture overviews Edge Detection that has many applications in image analysis, notably shape description and object recognition. It covers the following topics in detail: Edge detection using numerical differentiation or image statistics.



Region Segmentation
This lecture overviews Region Segmentation and Texture Description that have many applications in in image analysis, notably in shape description and object recognition It covers the following topics in detail: Image segmentation by thresholding.



Image Features
This lecture overviews Image Features that have many applications in computer vision, image analysis, stereo vision, image registration, motion estimation and object tracking.



Structure from Motion
Image-based 3D Shape Reconstruction, Stereo and multiview imaging principles will be overviewed. The following topics will be covered: Feature extraction and matching. Triangulation and Bundle Adjustment. Mathematics of structure from motion.