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. Region growing techniques. Split techniques and Quadtrees. Split /merge techniques. Relaxation algorithms in region analysis. Neural region segmentation.
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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. Hough transform for straight line and circle detection. Edge thresholding. Edge following algorithms using heuristic, graph-based and dynamic programming approaches. Object contour… Continue reading Edge Detection
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. UAV image capturing. Optimal UAV flight trajectory/flight height/viewing angle/image overlap ratio. Pre/post-processing for 3D reconstruction: flat surface smoothing/mesh modification/isolated point removal. Structure from motion… Continue reading Structure from Motion
Camera Geometry
After a brief introduction to image acquisition and light reflection, the building blocks of modern cameras will be surveyed, along with geometric camera modelling. Several camera models, like pinhole and weak-perspective camera model, will subsequently be presented, with the most commonly used camera calibration techniques closing the lecture.
Image Acquisition
This lecture overviews that has many applications in computer vision, digital imaging, social media and media production. It covers the following topics in detail: Light Reflection, Camera Structure, Camera Lens, Sensor Technologies, Image Digitization, Image Corrections, Image File Formats, Scanners, Image noise.
Digital Images and Videos
This lecture overviews various digital image types: 2D images, 3D images (videos, medical volumes, hyperspectral images). Multichannel images, e.g., colour and multispectral images and colour theory come next. Spatial frequency content and image sampling are presented. Spatiotemporal frequency content and video sampling are presented.