Modules / Lectures

Video Transcript:

Auto Scroll Hide
Module NameDownload
noc21_ee23_assignment_Week_1noc21_ee23_assignment_Week_1
noc21_ee23_assignment_Week_10noc21_ee23_assignment_Week_10
noc21_ee23_assignment_Week_11noc21_ee23_assignment_Week_11
noc21_ee23_assignment_Week_12noc21_ee23_assignment_Week_12
noc21_ee23_assignment_Week_2noc21_ee23_assignment_Week_2
noc21_ee23_assignment_Week_3noc21_ee23_assignment_Week_3
noc21_ee23_assignment_Week_4noc21_ee23_assignment_Week_4
noc21_ee23_assignment_Week_5noc21_ee23_assignment_Week_5
noc21_ee23_assignment_Week_6noc21_ee23_assignment_Week_6
noc21_ee23_assignment_Week_7noc21_ee23_assignment_Week_7
noc21_ee23_assignment_Week_8noc21_ee23_assignment_Week_8
noc21_ee23_assignment_Week_9noc21_ee23_assignment_Week_9


Sl.No Chapter Name MP4 Download
1Lec 1 : Introduction to Digital Image ProcessingDownload
2Lec 2 : Introduction to Computer VisionDownload
3Lec 3 : Introduction to Computer Vision and Basic Concepts of Image FormationDownload
4Lec 4 : Shape From ShadingDownload
5Lec 5 : Image Formation: Geometric Camera Models - IDownload
6Lec 6 : Image Formation: Geometric Camera Model - IIDownload
7Lec 7 : Image Formation: Geometric Camera Model - IIIDownload
8Lec 8 : Image Formation in a Stereo Vision SetupDownload
9Lec 9 : Image Reconstruction from a Series of Projections Download
10Lec 10 : Image Reconstruction from a Series of Projections Download
11Lec 11 : Image Transforms - IDownload
12Lec 12 : Image Transforms - IIDownload
13Lec 13 : Image Transforms - IIIDownload
14Lec 14 : Image Transforms - IVDownload
15Lec 15 : Image Enhancement.Download
16Lec 16 : Image Filtering - IDownload
17Lec 17 : Image Filtering - IIDownload
18Lec 18 : Colour Image Processing - IDownload
19Lec 19 : Colour Image Processing - IIDownload
20Lec 20 : Image SegmentationDownload
21Lec 21 : Image Features and Edge DetectionDownload
22Lec 22 : Edge DetectionDownload
23Lec 23 : Hough TransformDownload
24Lec 24 : Image Texture Analysism - IDownload
25Lec 25 : Image Texture Analysis - IIDownload
26Lec 26 : Object Boundary and Shape Representations - IDownload
27Lec 27 : Object Boundary and Shape Representations - IIDownload
28Lec 28 : Interest Point DetectorsDownload
29Lec 29 : Image Features - HOG and SIFT Download
30Lec 30 : Introduction to Machine Learning - IDownload
31Lec 31 : Introduction to Machine Learning - IIDownload
32Lec 32 : Introduction to Machine Learning - IIIDownload
33Lec 33 : Introduction to Machine Learning - IVDownload
34Lec 34 : Introduction to Machine Learning - VDownload
35Lec 35 : Artificial Neural Network for Pattern Classification - IDownload
36Lec 36 : Artificial Neural Network for Pattern Classification - IIDownload
37Lec 37 : Introduction to Deep LearningDownload
38Lec 38 : Gesture RecognitionDownload
39Lec 39 : Background Modelling and Motion EstimationDownload
40Lec 40 : Object TrackingDownload
41Lec 41 : Programming ExamplesDownload

Sl.No Chapter Name English
1Lec 1 : Introduction to Digital Image ProcessingDownload
Verified
2Lec 2 : Introduction to Computer VisionDownload
Verified
3Lec 3 : Introduction to Computer Vision and Basic Concepts of Image FormationDownload
Verified
4Lec 4 : Shape From ShadingDownload
Verified
5Lec 5 : Image Formation: Geometric Camera Models - IDownload
Verified
6Lec 6 : Image Formation: Geometric Camera Model - IIDownload
Verified
7Lec 7 : Image Formation: Geometric Camera Model - IIIDownload
Verified
8Lec 8 : Image Formation in a Stereo Vision SetupDownload
Verified
9Lec 9 : Image Reconstruction from a Series of Projections Download
Verified
10Lec 10 : Image Reconstruction from a Series of Projections Download
Verified
11Lec 11 : Image Transforms - IDownload
Verified
12Lec 12 : Image Transforms - IIDownload
Verified
13Lec 13 : Image Transforms - IIIDownload
Verified
14Lec 14 : Image Transforms - IVDownload
Verified
15Lec 15 : Image Enhancement.Download
Verified
16Lec 16 : Image Filtering - IDownload
Verified
17Lec 17 : Image Filtering - IIDownload
Verified
18Lec 18 : Colour Image Processing - IDownload
Verified
19Lec 19 : Colour Image Processing - IIDownload
Verified
20Lec 20 : Image SegmentationDownload
Verified
21Lec 21 : Image Features and Edge DetectionDownload
Verified
22Lec 22 : Edge DetectionDownload
Verified
23Lec 23 : Hough TransformDownload
Verified
24Lec 24 : Image Texture Analysism - IDownload
Verified
25Lec 25 : Image Texture Analysis - IIDownload
Verified
26Lec 26 : Object Boundary and Shape Representations - IDownload
Verified
27Lec 27 : Object Boundary and Shape Representations - IIDownload
Verified
28Lec 28 : Interest Point DetectorsDownload
Verified
29Lec 29 : Image Features - HOG and SIFT Download
Verified
30Lec 30 : Introduction to Machine Learning - IDownload
Verified
31Lec 31 : Introduction to Machine Learning - IIDownload
Verified
32Lec 32 : Introduction to Machine Learning - IIIDownload
Verified
33Lec 33 : Introduction to Machine Learning - IVDownload
Verified
34Lec 34 : Introduction to Machine Learning - VDownload
Verified
35Lec 35 : Artificial Neural Network for Pattern Classification - IDownload
Verified
36Lec 36 : Artificial Neural Network for Pattern Classification - IIDownload
Verified
37Lec 37 : Introduction to Deep LearningDownload
Verified
38Lec 38 : Gesture RecognitionDownload
Verified
39Lec 39 : Background Modelling and Motion EstimationDownload
Verified
40Lec 40 : Object TrackingDownload
Verified
41Lec 41 : Programming ExamplesDownload
Verified


Sl.No Language Book link
1EnglishDownload
2BengaliNot Available
3GujaratiNot Available
4HindiNot Available
5KannadaNot Available
6MalayalamNot Available
7MarathiNot Available
8TamilNot Available
9TeluguNot Available