VTU Online Class - Course Details

Computer Vision

@VTU COE

0.0

(0) 0 Students

Download Brochure

What you will learn

none

The course will have a comprehensive coverage of theory and computation related to imaging geometry, and scene understanding. It will also provide exposure to clustering, classification and deep learning techniques applied in this area.

Computer Vision

Lecture 01: Fundamentals of Image Processing Part I

Lecture 02: Fundamentals of Imagr Processing Part II

Lecture 03: Image Transform Part I

Lecture 04: Image Transform Part II

Lecture 05: Projective Geometry - Part I

Lecture 06: Projective Geometry - Part Ii

Lecture 07: Projective Transformation

Lecture 08: Homography: Properties - Part I

Lecture 09: 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 Vi

Lecture 21: Stereo Geometry - Part V

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

Live Session 18-10-2023

Live Session 27-09-2023

Live Session 24-08-2021

Live Session 23-09-2021

Live Session 11-09-2019

Live Session 17-09-2019

Live Session 30-09-2019

No Discussion Found

0.0

0 Reviews

5

0

4

0

3

0

2

0

1

0

Meet Your Instructor

@VTU COE

Instructor

3.2 Rating

5446 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

38 h 24 m 34 s
Course Level

Intermediate
Student Enrolled

0
Language

English

This Course Includes

38 h 24 m 34 s Video Lectures
0 Quizzes
0 Assignments
0 Downloadable Resources
Full Lifetime Access
Certificate of Completion