Machine Learning for computer vision
Principal Coordinator :
- Prof. Aparajita Ojha, IIITDM Jabalpur
Co-Principal Coordinator :
- Dr. Santosh Vipparthi, MNIT Jaipur
- Prof. Amey Karkare,IIT Kanpur
- Dr Prthwijit Guha IIT Guwahati
- Dr. Mukesh Kumar NIT Patna
Academy Level Coordinator:
Course Fee Details:
Academic (student/faculty): 500 INR
Industry People/ Others: 1000 INR
Foreign Participants: 4000 INR
Payment Details:
Bank Name: Allahabad Bank (Merge to Indian Bank)
Account Name: NIT Patna
Account No.: 50380476798
IFSC Code: IDIB000B810
Resource Persons:
Prof. Shantanu Chaudhury, Director IIT Jodhpur; Dr. Suresh Sundaram, IITG; Prof. H. Fujiyoshi, Chubu Univ. Japan; Prof. Barbara Zitova, Acad Sci. Czech Repulic; Dr. Amit Sethi, IITB; Prof. Sumantra Dutta Roy, IITD; Prof. P. Guha, , Prof. Aparajita Ojha, IIITDM Jabalpur, Dr. Santosh Viparthi, MNIT Jaipur
Course contents:
| S.No. | MODULES TOPICS |
|---|---|
| 1 | Introduction to Image Processing and Computer Vision (CV): Digital Image and Computer Vision, Main Goals and challenges of the CV, Structure of Human Eye and Vision, Color Models, Image Processing Goals and Tasks |
| 2 | Traditional approaches in CV: Feature Extraction using local patterns and their applications to Image Processing and CV (SIFT, HOG, LBP), Natural Image Classification, Image Enhancement, Edge Detection, Segmentation, Image denoising |
| 3 | Introduction to Artificial Intelligence (AI) and Machine Learning (ML): AI and ML, Supervised and Unsupervised Learning, Traditional ML approaches |
| 4 | Neural Network as a learning machine: Machine learning applications in computer vision, Image classification, Image segmentation,etc. |
| 5 | Applications of ML in Medical Images: Challenges in Medical image processing, ML for Medical Image processing, Medical image segmentation, classification and survival prediction, Medical image denoising, Medical image retrieval |
| 6 | Introduction to Deep Learning (DL): Basic differences between Conventional ML and DL approaches, Feed forward Neural Networks (NN), Back propagation, Stochastic gradient method and variants, Regularization |
| 7 | and optimization, Vanishing/exploding gradient problem |
| 8 | Introduction to Convolutional Neural Network: The Convolution Operation, Basic architecture of a Convolution Neural Network, Pooling and Batch Normalization layers, CNNs as feature extractors, Image classification using CNN, Image Enhancement and Segmentation |
| 9 | CNN architectures for CV: State-of-the-Art CNN Architectures, CNN for Image Enhancement and Segmentation |
| 10 | Applications of CNN in face recognition: Face Detection and Recognition using CNN, Siamese Network, and Triplet Loss |
Core Team Members, E&ICT Academy, NIT Patna:
Dr. Bharat Gupta (CI E & ICT Academy, NIT Patna)
Email: bharat@nitp.ac.in
Dr. M.P Singh (CI E & ICT Academy, NIT Patna)
Email: mps@nitp.ac.in
Website: http://old.nitp.ac.in/ict/index.php
Contact us :
Electronics and ICT Academy
National Institute of Technology, Patna
AshokRajpath, Patna 800005
Email: eictapatna@nitp.ac.in
Website: http://old.nitp.ac.in/ict