NPTEL : NOC:Computer Vision (Computer Science and Engineering)

Co-ordinators : Prof. Jayanta Mukhopadhyay


Lecture 1 - Fundamentals of Image Processing - Part I

Lecture 2 - Fundamentals of Imagr Processing - Part II

Lecture 3 - Image Transform - Part I

Lecture 4 - Image Transform - Part II

Lecture 5 - Projective Geometry - Part I

Lecture 6 - Projective Geometry - Part II

Lecture 7 - Projective Transformation

Lecture 8 - Homography: Properties - Part I

Lecture 9 - Homography: Properties - Part II

Lecture 10 - Homography: Properties - Part III

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

Lecture 16 - Stereo Geometry - Part I

Lecture 17 - Stereo Geometry - Part II

Lecture 18 - Stereo Geometry - Part III

Lecture 19 - Stereo Geometry - Part IV

Lecture 20 - Stereo Geometry - Part V

Lecture 21 - Stereo Geometry - Part VI

Lecture 22 - Stereo Geometry - Part VII

Lecture 23 - Stereo Geometry - Part VIII

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

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

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

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

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

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

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