Lectures related to Shape From Stereo-2

Fine-Grained Visual Categorization: Challenges and Solutions

Explores challenges and solutions in fine-grained visual categorization, focusing on computer vision and machine learning.

Extended Reality: Augmented, Virtual, Mixed, and Metaverse

Covers Augmented Reality, Virtual Reality, Mixed Reality, and the Metaverse, exploring their applications and immersive nature.

Immersive Imaging

Explores the evolution of 3D technology, discussing challenges and key concepts in delivering immersive experiences to users.

Deep Visual Recognition: Interpretability

Explores deep visual recognition, interpretability, CNN architectures, visual dictionaries, and attention mechanisms.

Clustering: K-means & LDA

Covers clustering using K-means and LDA, PCA, K-means properties, Fisher LDA, and spectral clustering.

Concept-Based Image Systems

Explores concept-based, named entity-based, and perspective connections-based image systems, emphasizing the analysis of graphics and visual relationships between images.

Photography History and Theory: Machine

Delves into the history and theory of photography, emphasizing the role of the camera as a pure recording tool and the significance of snapshots in capturing reality.

Perspectives, SIG et réalité augmentée MOOC: Geographical Information Systems 2

Covers Geographic Information Systems, Augmented Reality, and their integration.

Digital Education: Introduction

Covers the basics of digital education, including online platforms, simulations, teamwork, and virtual reality.

Geometric Stereo: Depth Recovery Techniques Log in to Mediaspace to watch this video

Discusses geometric stereo principles and depth recovery techniques using stereo vision methods.

Shape from Stereo-1 Log in to Mediaspace to watch this video

Explores geometric stereo, epipolar geometry, correlation methods, occlusions, and real-time implementation challenges in stereo vision systems.

Segmentation: Theory and Algorithms Log in to Mediaspace to watch this video

Covers the theory and algorithms behind image segmentation, focusing on region identification and evaluation.

Shape from Shading: Recovering 3D Information from 2D Images Log in to Mediaspace to watch this video

Covers the techniques for recovering 3D shape information from 2D images using shading models and modern deep learning approaches.

Computer Vision Basics: Image Processing and Feature Detection Log in to Mediaspace to watch this video

Covers the basics of computer vision, focusing on image processing techniques and feature detection.

Visual Intelligence: Machines and Minds Log in to Mediaspace to watch this video

Explores visual intelligence, image formation, computer vision, and representation understanding in machines and minds.

Computer Vision: Image Formation and Transformation Log in to Mediaspace to watch this video

Provides an overview of image formation and transformation principles in computer vision.

Machine Learning for Feature Extraction Log in to Mediaspace to watch this video

Explores machine learning for feature extraction, 3D vision, and neural networks in mobile robotics.

Image Processing: Enhancement and Analysis Log in to Mediaspace to watch this video

Explores image processing techniques such as contrast manipulation, enhancement, and sharpening using Fiji software.

Shape from Contours Log in to Mediaspace to watch this video

Explores shape reconstruction from contours using edge-based stereo matching and visual hull techniques for accurate 3D reconstruction.

Vision-Based Quadrotor Navigation Log in to Mediaspace to watch this video

Discusses quadrotor navigation using deep reinforcement learning and low-level control, focusing on visual intelligence and gaze model robustness.