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Related lectures (30)
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Computer Vision Basics: Image Processing and Feature Detection
Covers the basics of computer vision, focusing on image processing techniques and feature detection.
Knowledge Representation: Semantics and Data Structures
Explores knowledge representation, data structures, semantics, and the challenges of searching for data on the web.
Semantic Web: Ontologies and RDF Modeling
Covers the creation and encoding of ontologies, modeling RDF statements, syntax, and classification.
Geometric Stereo: Depth Recovery Techniques
Discusses geometric stereo principles and depth recovery techniques using stereo vision methods.
Understanding Knowledge Graphs
Explores the concept of Knowledge Graphs and their role in data integration and semantic understanding, showcasing real-world examples and applications.
Semantic Web: Overview and Tools
Explores the Semantic Web, ontologies, schema mapping, RDF, and knowledge graphs.
Image Processing: Neighborhood Averaging & Gaussian Smoothing
Explores neighborhood averaging, Gaussian smoothing, median filtering, contrast enhancement, and edge detection in image processing.
Shape From Stereo-2
Explores stereo vision concepts such as occlusions, window size impact, multi-view stereo, dynamic shape reconstruction, and graph-based segmentation.
Image Filtering: Classic Filters
Explores classic image filters like Moving Average, Gaussian Blur, Sobel filter, and Laplacian operator.
Semantic Web & Information Extraction
Explores Semantic Web, ontologies, information extraction, key phrases, named entities, and knowledge bases.
