Government Logo

ELECTRONICS AND ICT ACADEMY AT NATIONAL INSTITUTE OF TECHNOLOGY PATNA

Setup Under Scheme of Department of Electronics and Information Technology

Ministry of Communications and IT, Govt. of India

NIT Patna Logo

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:

Dr. Somaraju Suvvari, NIT Patna

Email: somaraju@nitp.ac.in

Contact: 9676430356


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
1Introduction 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
2Traditional 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
3Introduction to Artificial Intelligence (AI) and Machine Learning (ML): AI and ML, Supervised and Unsupervised Learning, Traditional ML approaches
4Neural Network as a learning machine: Machine learning applications in computer vision, Image classification, Image segmentation,etc.
5Applications 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
6Introduction 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
7and optimization, Vanishing/exploding gradient problem
8Introduction 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
9CNN architectures for CV: State-of-the-Art CNN Architectures, CNN for Image Enhancement and Segmentation
10Applications 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