Computer Vision - ECCV 2022: 17th European Conference, Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part XXIII

The 39-volume set, consisting of the LNCS books 13661 to 13699, contains the refereed proceedings of the 17th European Conference on Computer Vision, ECCV 2022, held in Tel Aviv, Israel, during October 23–27, 2022. The papers cover various topics in computer vision, machine learning, deep neural networks, and more, with 1645 papers selected from 5804 submissions.

Format: Paperback / softback
Length: 765 pages
Publication date: 28 October 2022
Publisher: Springer International Publishing AG

The 39-volume set, comprising the LNCS books 13661 until 13699, constitutes the refereed proceedings of the 17th European Conference on Computer Vision (ECCV) 2022, held in Tel Aviv, Israel, during October 23–27, 2022.

The 1645 papers presented in these proceedings were carefully reviewed and selected from a total of 5804 submissions. The papers cover a wide range of topics in computer vision, including:

Computer Vision: This field encompasses the development and application of algorithms for tasks such as image analysis, object detection, and scene understanding.

Machine Learning: Machine learning algorithms are used to analyze and interpret data, enabling computers to make predictions and decisions based on patterns.

Deep Neural Networks: Deep neural networks are a powerful tool for analyzing and processing complex data, particularly in areas such as image recognition and natural language processing.

Reinforcement Learning: Reinforcement learning involves training agents to make decisions in complex environments by receiving feedback in the form of rewards or penalties.

Object Recognition: Object recognition algorithms are used to identify and classify objects in images and videos, enabling applications such as autonomous vehicles and facial recognition systems.

Image Classification: Image classification algorithms are used to categorize images based on their content, such as flowers, animals, or buildings.

Image Processing: Image processing algorithms are used to enhance, modify, and analyze images, enabling tasks such as image restoration and image compression.

Object Detection: Object detection algorithms are used to identify and locate objects in images and videos, enabling applications such as security surveillance and autonomous navigation.

Semantic Segmentation: Semantic segmentation algorithms are used to divide an image into different regions based on their semantic meaning, such as objects, backgrounds, or faces.

Human Pose Estimation: Human pose estimation algorithms are used to estimate the pose of a human body in images or videos, enabling applications such as virtual reality and human-computer interaction.

Three-Dimensional Reconstruction: Three-dimensional reconstruction algorithms are used to create three-dimensional models of objects and scenes from two-dimensional images or videos.

Stereo Vision: Stereo vision algorithms are used to determine the depth and distance of objects in a scene, enabling applications such as autonomous navigation and 3D modeling.

Computational Photography: Computational photography algorithms are used to enhance and manipulate images, enabling tasks such as image stitching and photo retouching.

Neural Networks: Neural networks are a class of algorithms that are inspired by the structure and function of the human brain, enabling them to learn and adapt to complex data.

Image Coding: Image coding algorithms are used to reduce the size of images while maintaining their quality, enabling applications such as image transmission and storage.

Image Reconstruction: Image reconstruction algorithms are used to recreate images from incomplete or corrupted data, enabling tasks such as medical imaging and satellite imaging.

Object Recognition: Object recognition algorithms are used to identify and classify objects in images and videos, enabling applications such as autonomous vehicles and facial recognition systems.

Motion Estimation: Motion estimation algorithms are used to estimate the motion of objects in images and videos, enabling applications such as video editing and sports analysis.

These proceedings represent the latest advancements in computer vision research and provide a valuable resource for researchers, practitioners, and students in the field.

Weight: 1240g
Dimension: 235 x 155 (mm)
ISBN-13: 9783031200496
Edition number: 1st ed. 2022