Modern Computer Vision

Modern Computer Vision

@VTU COE

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What you will learn

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This course explores both classical and deep learning-based approaches to computer vision. Starting from introduction to deep learning, it goes on to discuss traditional approaches as well as deep networks for a variety of vision tasks including low-level vision, 3D geometry, mid-level vision and high-level vision.

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Multilayer Perceptron
Preview 24:13
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Regression and classification losses
Preview 16:54
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Training a neural network
Preview 12:03
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Gradient descent
Preview 28:41
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Activation function
Preview 26:31
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Backpropagation in MLP - 1
Preview 27:27
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Backpropagation in MLP - 2
Preview 22:51

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Optimization and Regularization - 1
Preview 26:25
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Optimization and Regularization - 2
Preview 27:01
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Regularization
Preview 25:50
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Dropout
Preview 17:13
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Pre-processing
Preview 09:39
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Convolutional Neural Networks - 1
Preview 14:21
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Convolutional Neural Networks - 2
Preview 17:52
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Convolutional Neural Networks - 3
Preview 15:05

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CNN Properties
Preview 30:46
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Alexnet
Preview 14:42
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CNN Architectures - 1
Preview 15:56
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CNN Architectures - 2
Preview 22:54
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CNN Architectures - 3
Preview 13:15
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Introduction to RNN - 1
Preview 27:38
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Introduction to RNN - 2
Preview 19:20
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Encoder-Decoder models in RNN
Preview 27:02
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LSTM
Preview 21:54

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Low-level vision - 1
Preview 14:55
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Low-level vision - 2
Preview 22:44
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Low-level vision - 3
Preview 09:48
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Spatial Domain Filtering
Preview 26:44
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Frequency Domain Filtering
Preview 23:42
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Edge Detection - 1
Preview 23:05
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Edge Detection - 2
Preview 26:41
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DeepNets for Edge Detection
Preview 21:56
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Line detection
Preview 27:44

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Feature detectors
Preview 26:07
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Harris Corner Detector - 1
Preview 23:31
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Harris Corner Detector - 2
Preview 19:57
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Harris Corner Detector - 3
Preview 21:52
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Blob detection - 1
Preview 17:40
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Blob detection - 2
Preview 26:04
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Blob detection - 3
Preview 08:14

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SIFT - 1
Preview 22:40
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SIFT - 2
Preview 23:41
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Feature descriptors - 1
Preview 20:38
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Feature descriptors - 2
Preview 25:48
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SURF - 1
Preview 22:33
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SURF - 2
Preview 16:28

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Single-View Geometry - 1
Preview 21:51
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Single-View Geometry - 2
Preview 30:49
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2D Geometric transformations - 1
Preview 23:53
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2D Geometric transformations - 2
Preview 29:11
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Camera intrinsics and extrinsics - 1
Preview 13:32
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Camera intrinsics and extrinsics - 2
Preview 36:50

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Two-view stereo - 1
Preview 13:06
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Two-view stereo - 2
Preview 20:15
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Two-view stereo - 3
Preview 12:31
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Algebraic representation of epipolar geometry - 1
Preview 25:20
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Algebraic representation of epipolar geometry - 2
Preview 26:41
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Fundamental matrix computation - 1
Preview 29:35
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Fundamental matrix computation - 2
Preview 18:22

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Structure from Motion - 1
Preview 09:44
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Structure from Motion - 2
Preview 30:52
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Structure from Motion - 3
Preview 14:28
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Batch processing in SFM
Preview 32:05
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Multi-view SFM
Preview 20:36
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Factorization methods in SFM
Preview 15:22
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Bundle adjustment
Preview 21:36
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Dense 3D reconstruction
Preview 13:11

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Some results in Stereo and SFM
Preview 14:34
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Deepnets for stereo and SFM - 1
Preview 21:54
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Deepnets for stereo and SFM - 2
Preview 16:57
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Mid-level vision - 1
Preview 25:13
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Mid-level vision - 2
Preview 16:58
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Lucas-Kanade method for OF
Preview 09:07
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Handling large motion in optical flow
Preview 07:50
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Image segmentation
Preview 23:14
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GMM for clustering
Preview 19:03

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Deepnets for Segmentation and OF -1
Preview 29:39
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Deepnets for Segmentation and OF -2
Preview 17:47
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Deepnets for Segmentation and OF -3
Preview 17:12
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Deepnets for Object Detection - 1
Preview 36:19
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Deepnets for Object Detection - 2
Preview 28:25
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Vision and Language
Preview 22:05
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Meet Your Instructor
@VTU COE
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Instructor
3.2 Rating
2542 Students
759 Courses
About Instructor

VTU is one of the largest Technological Universities in India with 24 years of Tradition of excellence in Engineering & Technical Education, Research and Innovations. It came into existence in the year 1998 to cater the needs of Indian industries for trained technical manpower with practical experience and sound theoretical knowledge.

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Free

  • Course Duration
    31 h 33 m 29 s
  • Course Level
    Intermediate
  • Student Enrolled
    0
  • Language
    English
This Course Includes
  • 31 h 33 m 29 s Video Lectures
  • 0 Quizzes
  • 0 Assignments
  • 0 Downloadable Resources
  • Full Lifetime Access
  • Certificate of Completion