Media Storage Type : 32 GB USB Stick
NPTEL Subject Matter Expert : Prof. Jayanta Mukhopadhyay
NPTEL Co-ordinating Institute : IIT Kharagpur
NPTEL Lecture Count : 60
NPTEL Course Size : 17 GB
NPTEL PDF Text Transcription : Available and Included
NPTEL Subtitle Transcription : Available and Included (SRT)
Lecture Titles:
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