About Workshop
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.
What Participants Will Learn
- 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.
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
- 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
- Lecture Topics:
- Advanced techniques: FaceNet, DeepFace
- Ethical and privacy considerations
- Discussion & Case Studies:
- Applications in security and user authentication
- Practical implementation and challenges
Important Dates
Registration Ends
1:00 pm
Workshop Dates
2025-02-15
3 PM
3 PM
What You Will Gain
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.
Who Should Attend
Data scientists, computer vision engineers, AI researchers, and academicians in AI and computer vision.