Course10610521660 lectures
Computer Vision
Prof. Jayanta Mukhopadhyay · IIT Kharagpur
About
The course will have a comprehensive coverage of theory and computation related to imaging geometry, and scene understanding. It will also provide exposure to clustering, classification and deep learning techniques applied in this area.
Intended audience: Computer Science and Engineering, Electronics Engineering, Electrical Engineering
Prerequisites: Liner Algebra, Vector Calculus, Data Structures and Programming
Lectures
Week 1 :
- Lecture 01 : Fundamentals of Image Processing Part I
- Lecture 02 : Fundamentals of Image Processing Part II
- Lecture 03 : Image Transform Part I
- Lecture 04 : Image Transform Part II
Week 2 :
- Lecture 05 : Projective Geometry – Part I
- Lecture 06 : Projective Geometry – Part II
- Lecture 07 : Projective Transformation
- Lecture 08 : Homography: Properties – Part I
- Lecture 09 : Homography: Properties – Part II
- Lecture 10 : Homography: Properties – Part III
Week 3 :
- Lecture 11 : Camera Geometry – Part I
- Lecture 12 : Camera Geometry – Part II
- Lecture 13 : Camera Geometry – Part III
- Lecture 14 : Camera Geometry – Part IV
- Lecture 15 : Camera Geometry – Part V
Week 4 :
- Lecture 16 : Stereo Geometry – Part I
- Lecture 17 : Stereo Geometry – Part II
- Lecture 18 : Stereo Geometry – Part III
- Lecture 19 : Stereo Geometry – Part IV
Week 5 :
- Lecture 20 : Stereo Geometry – Part V
- Lecture 21 : Stereo Geometry – Part VI
- Lecture 22 : Stereo Geometry – Part VII
- Lecture 23 : Stereo Geometry – Part VIII
Week 6 :
- Lecture 24 : Feature Detection And Description – Part I
- Lecture 25 : Feature Detection And Description – Part II
- Lecture 26 : Feature Detection And Description – Part III
- Lecture 27 : Feature Detection And Description – Part IV
- Lecture 28 : Feature Detection And Description – Part V
Week 7 :
- Lecture 29 : Feature Matching And Model Fitting- Part I
- Lecture 30 : Feature Matching And Model Fitting- Part II
- Lecture 31 : Feature Matching And Model Fitting- Part III
- Lecture 32 : Feature Matching And Model Fitting- Part IV
- Lecture 33 : Feature Matching And Model Fitting- Part V
Week 8 :
- Lecture 34 : Color Fundamentals And Processing-Part I
- Lecture 35 : Color Fundamentals And Processing-Part II
- Lecture 36 : Color Fundamentals And Processing-Part III
- Lecture 37 : Color Fundamentals And Processing-Part IV
- Lecture 38 : Color Fundamentals And Processing-Part V
- Lecture 39 : Color Fundamentals And Processing-Part VI
- Lecture 40 : Color Fundamentals And Processing-Part VII
Week 9 :
- Lecture 41 : Range Image Processing – Part I
- Lecture 42 : Range Image Processing – Part II
- Lecture 43 : Range Image Processing – Part III
- Lecture 44 : Range Image Processing – Part IV
- Lecture 45 : Range Image Processing – Part V
Week 10 :
- Lecture 46 : CLUSTERING AND CLASSIFICATION – PART I
- Lecture 47 : CLUSTERING AND CLASSIFICATION – PART II
- Lecture 48 : CLUSTERING AND CLASSIFICATION – PART III
- Lecture 49 : CLUSTERING AND CLASSIFICATION – PART IV
- Lecture 50 : CLUSTERING AND CLASSIFICATION – PART V
Week 11 :
- Lecture 51: Dimensional Reduction And Sparse Representation – Part I
- Lecture 52 : Dimensional Reduction And Sparse Representation – Part II
- Lecture 53 : Dimensional Reduction And Sparse Representation – Part III
- Lecture 54 : Dimensional Reduction And Sparse Representation – Part IV
Week 12 :
- Lecture 55 : Deep Neural Architecture And Applications – Part I
- Lecture 56 : Deep Neural Architecture And Applications – Part II
- Lecture 57 : Deep Neural Architecture And Applications – Part III
- Lecture 58 : Deep Neural Architecture And Applications – Part IV
- Lecture 59 : Deep Neural Architecture And Applications – Part V
- Lecture 60 : Deep Neural Architecture And Applications – Part VI
Syllabus and materials
At NPTEL, as the course publishes them.
Credits and licence
- Institution
- IIT Kharagpur
- Department
- Computer Science and Engineering
- Teacher
- Prof. Jayanta Mukhopadhyay
- Level
- Undergraduate
- Language
- English
- Subjects
- Computer science, Engineering
- Source
- NPTEL
- Licence
- CC BY-NC-SA, as NPTEL states it. Non-commercial use only. NPTEL's terms
- Attribution
- NPTEL states: "Distributed under Creative Commons Attribution-ShareAlike / CC BY - NC - SA", beside a BY-NC-SA badge.
- Who can watch
- NPTEL gives no rating. Invisible Network shows it to Tweens profiles and older, judged from what the source says about it. How courses are placed
More like this
NPTEL101105083
Course
Space Flight Mechanics
99 lectures · Source's player
NPTEL101105084
Course
Aircraft Structures - I
42 lectures · Source's player
NPTEL101105085
Course
Introduction to CFD
65 lectures · Source's player
NPTEL101105089
Course
Aerodynamic Design of Axial Flow Compressors & Fans
69 lectures · Source's player
NPTEL101105090
Course
Smart Structures
62 lectures · Source's player
NPTEL101105660
Course
Industrial Aerodynamics
60 lectures · Source's player
NPTEL101105662
Course
Mechanics of Composite Materials and Structures
64 lectures · Source's player
NPTEL101105024
Course
High Speed Aero Dynamics
40 lectures · Video
NPTEL101105030
Course
Space Flight Mechanics
45 lectures · Video
NPTEL101105059
Course
Introduction to Aerodynamics
46 lectures · Video
NPTEL101105077
Course
Satellite Attitude Dynamics and Control
76 lectures · Video
NPTEL101105081
Course
Vibration And Structural Dynamics
42 lectures · Video