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02/15/2025

Registration closes 02/15/2025
Mentor Based

Computer Vision and Image Processing

Mastering Advanced Computer Vision and Image Processing Techniques

  • Mode: Virtual (Google Meet)
  • Type: Mentor Based
  • Level: Moderate
  • Duration: 3 Days
  • Starts: 15 February 2025
  • Time: 3 PM IST

About This Course

This three-day workshop delves into advanced image processing techniques, object detection and segmentation algorithms, and cutting-edge facial recognition methods. Participants will engage in hands-on sessions and case studies to understand the practical applications and challenges in computer vision.

Aim

To provide PhD scholars and academicians with advanced skills in computer vision and image processing. This course aims to deepen understanding of high-level image processing, object detection, segmentation techniques, and facial recognition, enhancing research and practical applications.

Workshop Objectives

  • Master advanced image processing techniques.
  • Implement state-of-the-art object detection and segmentation algorithms.
  • Develop and optimize facial recognition systems.
  • Apply computer vision techniques to real-world problems.
  • Enhance research and practical implementation skills.

Workshop Structure

Day 1: Advanced Image Processing Techniques

  • Lecture Topics:
    • High-level image processing techniques: Super-resolution, Style Transfer
    • Advanced filtering and edge detection methods
  • Discussion & Case Studies:
    • Applications in art and media restoration
    • Practical implementation challenges

Day 2: Advanced Object Detection and Segmentation

  • Lecture Topics:
    • Latest algorithms: YOLO, SSD, Mask R-CNN
    • Real-time object detection and tracking
  • Discussion & Case Studies:
    • Applications in autonomous systems and surveillance
    • Interactive session with real-world datasets

Day 3: Cutting-Edge Facial Recognition

  • Lecture Topics:
    • Advanced techniques: FaceNet, DeepFace
    • Ethical and privacy considerations
  • Discussion & Case Studies:
    • Applications in security and user authentication
    • Practical implementation and challenges

Who Should Enrol?

Data scientists, computer vision engineers, AI researchers, and academicians in AI and computer vision.

Important Dates

Registration Ends

02/15/2025
IST 1:00 pm

Workshop Dates

02/15/2025 – 02/17/2025
IST 3 PM

Workshop Outcomes

  • Design and optimize advanced image processing systems.
  • Implement and fine-tune state-of-the-art object detection and segmentation models.
  • Develop advanced facial recognition systems with ethical considerations.
  • Apply computer vision techniques to practical applications in various fields.
  • Conduct high-level research in computer vision and AI.

Fee Structure

Student Standard fee

₹1399 | $50

Ph.D. Scholar / Researcher Standard fee

₹1699 | $55

Academician / Faculty Standard fee

₹2199 | $60

Industry Professional Standard fee

₹2699 | $85

What You’ll Gain

  • Live & recorded sessions
  • e-Certificate upon completion
  • Post-workshop query support
  • Hands-on learning experience

Join Our Hall of Fame!

Take your research to the next level with NanoSchool.

Publication Opportunity

Get published in a prestigious open-access journal.

Centre of Excellence

Become part of an elite research community.

Networking & Learning

Connect with global researchers and mentors.

Global Recognition

Worth ₹20,000 / $1,000 in academic value.

Need Help?

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