Skip to main content
Graph
Search
fr
en
Login
Search
All
Categories
Concepts
Courses
Lectures
MOOCs
People
Practice
Publications
Startups
Units
Show all results for
Home
Category
Computer vision
Applied sciences
Information engineering
Artificial intelligence
Computer vision
Graph Chatbot
Related lectures (30)
Topology: Polyhedral Products and Edge Detection
Explores topology concepts and edge detection in computer vision, highlighting the significance of contours and gradients in image analysis.
Shape from Shading: Recovering 3D Information from 2D Images
Covers the techniques for recovering 3D shape information from 2D images using shading models and modern deep learning approaches.
Image Processing I: Edge Detection and Texture Analysis
Covers edge detection, texture analysis, Canny's algorithm, filterbanks, and segmentation techniques.
Edge Detection: Deep Learning Insights
Explores the evolution of edge detection techniques, from Canny to deep learning insights.
Basics of Mobile Robotics: Uncertainties
Explores the fundamentals of mobile robotics, emphasizing uncertainties in localization, sensor fusion, and the Extended Kalman Filter.
Depth Perception: Motion Parallax & Stereoscopic Vision
Explores depth perception through motion parallax and stereoscopic vision, emphasizing the importance of viewpoint tracking in virtual reality.
Odometry and Sensor Fusion
Explores error sources in odometry, sensor fusion, feature-based localization, and the Kalman Filter algorithm.
Computer Vision: Fundamentals and Applications
Covers the fundamentals of computer vision, illusions, challenges, applications, and history.
Uncertainty Quantification and Label Error Detection
Explores uncertainty quantification and label error detection in deep learning for semantic segmentation, focusing on challenges and methods for error detection.
Edge Detection: Basics
Covers the basics of edge detection, including edge duality, discontinuities, descriptors, gradients, and magnitude measurement.
Previous
Page 2 of 2
Next
