CVCS 2026 will feature three exciting workshops covering topics across medical imaging, image quality analysis, UAV autonomy, AI, and computer vision.

Workshop 1

Date: 22.09.2026
Time: 09:00 – 13:00
Title: CapsNet Workshop
Instructor: Prof. Kiran Raja, Colourlab, Department of Computer Science, NTNU

The International Network for Capsule Imaging in Endoscopy (CapsNetwork) focuses on advancing image‑based diagnosis using wireless capsule endoscopy (WCE) to address the growing burden of digestive system diseases such as inflammatory bowel disease and colorectal cancer. These conditions affect a large population globally and represent a significant health challenge. CapsNetwork builds on existing research strengths in artificial intelligence and medical image analysis to foster closer integration between AI methods and clinical expertise. By bringing together leading academic partners from Europe, North America, and Asia, alongside clinical and industrial stakeholders, the project aims to develop high‑quality international research and education collaborations and to support the training of researchers and specialists in AI‑driven diagnostic imaging.

CapsTrain (Making Wireless Capsule Endoscopy Clinic Ready – Training and Educating the Next Generation of Researchers) is an educational and research project under the Indo‑Norwegian Cooperation Programme, co‑funded by the Research Council of Norway, the Norwegian Directorate for Higher Education and Skills, and the University Grants Commission of India. The project focuses on advancing wireless capsule endoscopy (WCE) by addressing key challenges related to large‑scale video analysis and the development of explainable AI‑based methods suitable for clinical use.

CapsNet Workshop at CVCS2026 is designed extensively to report new advancements in WCE and broadly in medical imaging, new algorithms, analysis and new datasets in the field of WCE and allied medical imaging topics.

Workshop 2

Date: 22.09.2026
Time: 14:00 – 19:00
Title: Image Quality Analysis according to ISO 19264-1:2021
Instructor: Volker Jansen, Technical Director, Zeutschel GmbH and ISO member of TC42 JWG26

This workshop is divided into two parts. The first part introduces the image quality definitions described in ISO 19264-1:2021, Photography — Archiving Systems — Imaging Systems Quality Analysis — Part 1: Reflective Originals, and provides an overview of the forthcoming Part 2 on transmissive originals. Participants will explore what the different image quality parameters mean, why they are important in practical cultural heritage digitisation projects, and how technical guidelines such as FADGI and Metamorfoze relate to and differ from the ISO standards.

The session also includes a practical demonstration of image quality analysis using test charts and analysis software. Participants will compare results against the requirements defined by ISO 19264, FADGI, and Metamorfoze, and learn how imaging systems can be optimized to meet these specifications.

The second part of the workshop focuses on the practical setup, calibration, and quality control of digital camera systems for digitisation projects working under ISO, FADGI, or Metamorfoze requirements. Participants will learn practical methods for setting up and calibrating DSLR and other digital cameras, performing image quality assessment and verification, and optimizing imaging systems to consistently achieve the required standards.

Workshop 3

Date: 23.09.2026
Time: 09:00 – 16:00
Title: Unmanned Aerial Vehicles: From Core Systems to Intelligent Autonomy
Instructor: Dr. D. Sathian, Associate Professor and Head of the Department B.Tech CSE (AI & Robotics), School of Computer Science & Engineering, Vellore Institute of Technology, Chennai

This workshop offers a system-level perspective on UAVs, bridging the gap between foundational aerial robotics and practical AI deployment. Participants will explore how sensing, computation, and control integrate within UAV platforms, and how modern computer vision and edge AI methods enable UAVs to move beyond scripted behaviour toward true perception-driven autonomy.

The workshop takes a broad view of UAVs, not merely as flying vehicles, but as intelligent mobile platforms for imaging, sensing, and decision-making. It is designed for researchers, engineers, and practitioners who want to understand how UAV systems work end-to-end, and how vision, AI, and autonomy come together in real-world deployments.

By the end of this workshop, participants will be able to:

• Understand UAV system architecture — components, autopilots, and sensing pipelines

• Identify computer vision and AI methods that work reliably under real UAV deployment constraints

• Appreciate edge AI limitations and how to design for efficient on-board inference

• Explore aerial imaging modalities beyond photogrammetry — spectral, thermal, and video

• Gain exposure to industry-relevant tools and workflows — including MATLAB/Simulink, GCS software, and open-source vision pipelines 

• Evaluate trust, safety, and security challenges in perception-driven autonomous UAV systems.

• Survey emerging architectures and active research directions in UAV autonomy

The workshop embeds practical activities throughout, exploring various tools such as MATLAB/Simulink, Ground Control Station (GCS) software, computer vision frameworks, and aerial imaging pipelines.

The morning session establishes a solid foundation in UAV systems and intelligent autonomy. Participants begin by developing a clear understanding of UAV concepts, categories, and real-world system architecture, demystifying how sensing, computation, and control come together within a UAV platform, and separating fact from common misconception. The sessions then build toward the central question of why autonomous UAVs must rely on perception rather than scripted commands, exploring the practical limits of conventional control approaches. The block closes by examining what computer vision and AI methods actually deliver in real UAV deployments, moving beyond benchmark performance to understand what works in the field and why.

The afternoon session connects the morning’s foundations to real-world applications and hands-on experience. Participants will explore how UAVs are deployed across remote sensing, infrastructure inspection, precision agriculture, and search and rescue, and gain exposure to advanced aerial imaging modalities; multispectral, thermal, and hyperspectral, that go well beyond conventional photography. Through guided, hands-on activities using industry-relevant tools, including MATLAB/Simulink, the UAV/Aerospace Toolbox, Ground Control Station software, and open-source computer vision and UAVpipelines, participants will gain practical familiarity with end-to-end UAV workflows, bridging the gap between theoretical concepts and real-world deployment. The block closes with an eye toward the frontier, covering edge AI deployment, emerging architectures such as NeRFs and foundation models, and the critical questions of trust, safety, and security that accompany the next generation of autonomous UAV systems.