Hybrid Conferencee

International Conference on Computer Vision Systems and Image Processing (ICCVSIP - 26)

18th - 19th December 2026 | Wellington, New Zealand

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Call for Papers Extended:
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Certificate of Presentation:
"Present your research and receive a Certificate of Presentation to recognise your valuable contribution to the conference."
Abstract Submissions Open:
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Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Wellington conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Wellington, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Wellington."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Conference Session Tracks

SDG Wheel

Aligned with

UN Sustainable Development Goals

This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals. It fosters knowledge exchange, innovation, and collaborative engagement.

SDG 3
SDG 3 Good Health and Well-being
SDG 4
SDG 4 Quality Education
SDG 8
SDG 8 Decent Work and Economic Growth
Track 01

Advancements in Feature Detection Algorithms

This track focuses on the latest methodologies and innovations in feature detection algorithms within computer vision systems. Researchers are invited to present their findings on enhancing accuracy and efficiency in various applications.

Track 02

Image Classification Techniques in Deep Learning

This session will explore cutting-edge image classification techniques utilizing deep learning frameworks. Contributions that demonstrate novel approaches to improving classification performance are highly encouraged.

Track 03

Segmentation Techniques for Complex Visual Data

This track aims to discuss advanced segmentation techniques tailored for complex visual data sets. Papers addressing challenges and solutions in segmentation across different domains are welcome.

Track 04

Machine Vision Applications in Industry

This session highlights the role of machine vision in industrial applications, including quality control and automation. Participants are invited to share case studies and innovations that enhance productivity through vision systems.

Track 05

Deep Neural Networks for Image Processing

This track will delve into the application of deep neural networks in various image processing tasks. Researchers are encouraged to present their work on novel architectures and training methodologies.

Track 06

3D Reconstruction Techniques in Computer Vision

This session focuses on the latest advancements in 3D reconstruction techniques and their applications in computer vision. Contributions that explore both theoretical frameworks and practical implementations are invited.

Track 07

Video Analytics for Real-Time Applications

This track examines the challenges and solutions in video analytics, particularly for real-time processing. Papers discussing innovative algorithms and their applications in surveillance and monitoring are encouraged.

Track 08

Intelligent Vision Systems and Their Applications

This session will explore the development of intelligent vision systems that integrate artificial intelligence for enhanced decision-making. Contributions that showcase real-world applications and system designs are welcome.

Track 09

Face Recognition Technologies and Ethical Considerations

This track addresses the technological advancements in face recognition systems along with the ethical implications of their use. Researchers are invited to discuss both technical innovations and societal impacts.

Track 10

Medical Image Processing Innovations

This session focuses on the latest innovations in medical image processing techniques and their implications for healthcare. Contributions that demonstrate the application of computer vision in diagnostics and treatment are encouraged.

Track 11

Visual Data Interpretation and Analysis

This track aims to explore methodologies for effective visual data interpretation and analysis in various contexts. Researchers are invited to present their findings on improving understanding and insights from visual data.