Proceedings of the Computer Vision Conference (CVC) 2026, Volume 4 / edited by Kohei Arai, Pascal Lorenz.

Format:

Book

Author/Creator:

Arai, Kohei.

Series:

Lecture Notes in Networks and Systems, 2367-3389 ; 2036

Language:

English

Subjects (All):

Computational intelligence.

Computer vision.

Artificial intelligence.

Computational Intelligence.

Computer Vision.

Artificial Intelligence.

Local Subjects:

Computational Intelligence.

Computer Vision.

Artificial Intelligence.

Physical Description:

1 online resource (445 pages)

Edition:

1st ed. 2026.

Place of Publication:

Cham : Springer Nature Switzerland : Imprint: Springer, 2026.

Summary:

The book covers a wide range of highly qualified papers presented at the Computer Vision Conference 2026, held on May 21-22, 2026, in Amsterdam, Netherlands. The paper submissions for this conference were received from researchers, academicians, and industry practitioners from various countries. To ensure the high standards of originality, technical quality, and relevance to the conference themes, all papers were double-blind peer-reviewed to ensure that the final published papers meet high standards of originality, technical quality, and relevance to the conference theme. Altogether, these contributions cover the current research trends, offer valuable insights, and address real-world problems. This inspires future investigations and developments in the field of Machine Vision and Deep Learning, Image Processing, Data Science, and Applications. We hope that this volume of the proceedings serves as a valuable reference for researchers and practitioners and contribute to continued exploration, collaboration, and innovation in the rapidly evolving field of computing.

Contents:

Building Trustworthy Computer Vision Models to Specification

Computer Vision and Predictive Analytics Pipeline for Sustainable Fisheries: A Survey

Automated Pineapple Fruit Detection and Counting System Using Machine Learning

Integration of Rotational Constraints During Bundle Adjustment in OpenMVG

A Comparative Study on the Accuracy and Constraints of Pose-Free Gaussian Splatting Methods

A Web-Based Intelligent System for Automated Alzheimer’s Disease Classification from Brain MRI

AI-Powered Study Planner Prototype System

Visual MEMENTO: A Foundation Model Framework for Recording, Understanding, and Retrieving Screen-Share Sessions in Meetings

Towards Region-Adapted Deep Learning Models for Date Palm Disease Detection in the UAE

RAM-LightGlue: Radiometric Alignment for Robust RGB–Thermal Image Registration in Hazy Conditions.

Notes:

Print version record.

ISBN:

9783032295583

OCLC:

1610749784