Modern Computer Vision

Modern Computer Vision

@VTU COE

0.0
(0) 0 Students
Download Brochure

What you will learn

  • None

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.

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

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

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

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

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

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

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

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

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

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

play
Deepnets for Segmentation and OF -1
Preview 29:39
play
Deepnets for Segmentation and OF -2
Preview 17:47
play
Deepnets for Segmentation and OF -3
Preview 17:12
play
Deepnets for Object Detection - 1
Preview 36:19
play
Deepnets for Object Detection - 2
Preview 28:25
play
Vision and Language
Preview 22:05
img
No Discussion Found

0.0

0 Reviews

5
0
4
0
3
0
2
0
1
0
Meet Your Instructor
@VTU COE
img

Instructor
3.2 Rating
5642 Students
800 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.

video

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