Pattern Recognition and Computer Vision Lab
Subject Code- ML 411P
Introduction
The Pattern Recognition and Computer Vision Lab of CSE Department is a specialized research facility dedicated to the development and application of advanced algorithms and methodologies for the analysis and interpretation of visual data. The lab focuses on key areas such as pattern recognition, image processing, and computer vision, with an emphasis on extracting actionable insights from images and video sequences. Research domains include object detection, facial recognition, image classification, motion analysis, and scene understanding, leveraging cutting-edge machine learning and deep learning techniques. The lab’s objective is to contribute to the advancement of visual data analysis, providing innovative solutions for a wide range of engineering applications, including robotics, automation, surveillance, medical imaging, and autonomous systems.
Objective of the Laboratory
- Understand the in-depth concept of Pattern Recognition.
- Implement Bayes Decision Theory.
- Understand the in-depth concept of Perception and related Concepts.
- Understand the concept of ML Pattern Classification.
Facilities
Simulation Facilities: Matlab
People
- Faculty Coordinator: Ms. Akanksha Ahuja
- Other Faculty Users: Ms. Rachna Narula
- Lab Technician: Mr. S.B Jadhav