COURSE OBJECTIVES
To review image processing techniques for computer vision.
To understand shape and region analysis, Hough Transform and its applications to detect lines, circles, ellipses.
To understand Visualization and Convolution Neural Networks for computer vision.
To understand the concept of Recurrent Neural Networks.
To understand the concept of Attention and Deep Generative Models.
COURSE OUTCOMES
Upon completion of the course the students will be able to:
CO1 - Apply basic Image processing techniques to a specific image
CO2 - Apply visual matching techniques to extract features from the image
CO3 - Develop CNN architecture for computer vision applications
CO4 - Develop RNN model for video processing
CO5 - Develop Attention model for computer vision applications
CO6 - Choose appropriate Deep generative model for a specific application
- ஆசிரியர்: Ishwarya C
- ஆசிரியர்: MUTHIAH M. A
- ஆசிரியர்: Naresh Kumar Thapa