Visual Intelligence: Hands-On Image Processing Workshop
Visual Intelligence: Hands-On Image Processing with Prof. Rafael Paes
Are you curious about computer vision and image analysis? Join us for an interactive, hands-on workshop led by Professor Rafael Paes on October 20th and 21st at 7:00 PM.
In this workshop, you will:
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Learn fundamental concepts of computer vision;
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Discover techniques for processing and analyzing images;
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Explore practical applications in satellites, sports, and more;
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Gain skills applicable to both academic and professional projects.
Don’t miss this opportunity to dive into a field that combines technology, creativity, and data-driven visual analysis!
Date and Time
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Agenda
Day 1 – October 20
7:00 – 7:10 PM: Welcome and Introduction
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Overview of the workshop objectives
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Introduction to computer vision and its applications
7:10 – 7:40 PM: Fundamentals of Image Processing
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Basic concepts: pixels, color spaces, and filters
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Common image processing techniques
7:40 – 8:10 PM: Hands-On Session 1
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Loading and visualizing images using cameras and software
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Applying basic filters and transformations
8:10 – 8:40 PM: Practical Applications
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Case studies in satellites, sports, and other areas
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Discussion of real-world examples
8:40 – 9:00 PM: Q&A and Wrap-Up
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Recap of Day 1
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Questions and discussion
Day 2 – October 21
7:00 – 7:10 PM: Recap of Day 1
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Key takeaways and review of techniques
7:10 – 7:50 PM: Advanced Image Analysis Techniques
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Feature detection, segmentation, and pattern recognition
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Introduction to data extraction from images
7:50 – 8:30 PM: Hands-On Session 2
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Participants apply advanced techniques on sample images
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Guidance from Professor Rafael Paes
8:30 – 8:50 PM: Applications and Insights
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How to use image analysis in academic and professional projects
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Exploring further learning resources
8:50 – 9:00 PM: Closing Remarks
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Summary of workshop
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Certificates or participation info (if applicable)
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Final Q&A
For more information, contact us at:
📧 helennamassarra@ieee.org
📱 WhatsApp: (61) 99168-6474
Follow us on Instagram: @ramoieee.idp
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