Stereo Vision, Dense Motion & Tracking from Coursera

This course enables learners to develop 3D vision applications using a stereo imaging system. They are introduced to stereo vision theory, dense motion and visual tracking. They are able to discuss techniques used to obtain the 3D structure of objects. Topics include epipolar geometry, optical flow, structure from motion, multi-object tracking, 3D vision and visual odometry. This course is ideal for anyone curious about or interested in exploring the concepts of computer vision. It is also useful for those who desire a refresher course in mathematical concepts of computer vision. Learners should have basic programming skills and experience (understanding of for loops, if/else statements), specifically in MATLAB (Mathworks provides the basics here: https://www.mathworks.com/learn/tutorials/matlab-onramp.html). Learners should also be familiar with the following: basic linear algebra (matrix vector operations and notation), 3D co-ordinate systems and transformations, basic calculus (derivatives and integration) and basic probability (random variables). Material includes online lectures, videos, demos, hands-on exercises, project work, readings and discussions. Learners gain experience writing computer vision programs through online labs using MATLAB* and supporting toolboxes. This is the third course in the Computer Vision specialization that lays the groundwork necessary for designing sophisticated vision applications. To learn more about the specialization, check out a video overview at https://youtu.be/OfxVUSCPXd0. * A free license to install MATLAB for the duration of the course is available from MathWorks.

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Builds strong foudations for intermediate learners in stereo vision theory, dense motion, and visual tracking

Teaches techniques used to obtain the 3D structure of objects

Explores topics highly relevant to computer vision

Develops professional skills in 3D vision and visual odometry

Requires proficiency with MATLAB

Assumes learners have basic experience with for loops, if/else statements, linear algebra, 3D co-ordinate systems, transformations, calculus, and basic probability

Reviews summary

Vision concepts refresher

This course is recommended as a refresher for learners seeking to brush up on concepts related to computer vision. It is suitable for learners seeking a review in mathematical concepts of computer vision. The course is also beneficial for those seeking to be introduced to stereo vision theory and optical flow.

Introduces stereo vision theory and optical flow.

"It is suitable for learners seeking a review in mathematical concepts of computer vision. The course is also beneficial for those seeking to be introduced to stereo vision theory and optical flow."

Good for brushing up on concepts.

"This course is recommended as a refresher for learners seeking to brush up on concepts related to computer vision."

Some video lectures are incomplete.

"This course has a lot of potential but the video have missing equations, examples and so on. Most of the time."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Stereo Vision, Dense Motion & Tracking with these activities:

Review of Calculus for Machine Vision

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Refresh your knowledge of basic calculus, particularly derivatives and integrals.

View Essential Calculus on Amazon

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Review the chapters on derivatives and integrals.
Practice solving calculus problems relevant to machine vision.

Review of Linear Algebra

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Refresh your understanding of basic linear algebra, including matrix and vector operations.

Browse courses on Linear Algebra

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Review your notes or textbooks on linear algebra.
Practice solving linear algebra problems.

MATLAB Tutorial for Computer Vision

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Familiarize yourself with the basics of MATLAB, the programming language used in the course.

Browse courses on MATLAB

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Follow the MATLAB tutorial provided by MathWorks.
Complete the hands-on exercises in the tutorial.

Six other activities

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Review of 3D Coordinate Systems

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Review the concepts of 3D coordinate systems and transformations.

Browse courses on Computer Vision

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Review your notes or textbooks on 3D coordinate systems.
Practice working with 3D coordinate systems and transformations.

Introductory Computer Vision

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Acquaint yourself with the fundamentals of 3D vision and computer vision.

View Computer Vision on Amazon

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Read the first three chapters of the book.
Summarize the key concepts covered in each chapter.

Find a 3D Vision Mentor

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Connect with a mentor who can provide guidance and support in your learning journey.

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Identify potential mentors in your field.
Reach out to them and request their mentorship.

3D Vision Study Group

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Discuss course material, share insights, and work on problems together with other students.

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Find a group of students to study with.
Meet regularly to discuss course material.

3D Vision Practice Problems

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Solve practice problems to reinforce your understanding of 3D vision concepts.

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Find practice problems online or in textbooks.
Solve the problems and check your answers.

3D Vision Project

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Apply your knowledge of 3D vision to a practical project, such as building a 3D model from stereo images.

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Define the scope of your project.
Gather the necessary data and resources.
Implement your project using 3D vision techniques.
Write a report summarizing your project.

Career center

Learners who complete Stereo Vision, Dense Motion & Tracking will develop knowledge and skills that may be useful to these careers:

Computer Vision Engineer

A Computer Vision Engineer develops and implements computer vision algorithms and systems for various applications, such as image processing, object recognition, tracking, and navigation. This course provides a strong foundation in stereo vision, dense motion, and visual tracking, which are all essential concepts in computer vision. By understanding these techniques, learners will be better equipped to design and develop innovative computer vision applications.

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Robotics Engineer

A Robotics Engineer designs, builds, and tests robots for various applications, such as manufacturing, healthcare, and space exploration. This course provides valuable knowledge in stereo vision, which is a critical technology for robots to perceive their surroundings and navigate autonomously. By understanding how to extract 3D information from images, learners can contribute to the development of more advanced and capable robots.

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Autonomous Vehicle Engineer

An Autonomous Vehicle Engineer designs and develops self-driving cars and autonomous vehicles. This course provides a solid foundation in stereo vision and dense motion estimation, which are key technologies for autonomous vehicles to perceive their surroundings and make informed decisions. By understanding these techniques, learners can help advance the field of autonomous driving and contribute to the development of safer and more efficient transportation systems.

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Visual Effects Artist

A Visual Effects Artist creates and integrates computer-generated imagery (CGI) into film, television, and video games. This course provides knowledge in stereo vision and 3D reconstruction, which are essential techniques for creating realistic and visually appealing virtual environments. By understanding these concepts, learners can enhance their skills in creating immersive and engaging visual effects.

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Data Scientist

A Data Scientist analyzes data to extract meaningful insights and patterns. This course provides a foundation in computer vision techniques, which can be applied to various data science applications, such as image recognition, object detection, and tracking. By understanding these techniques, learners can enhance their data analysis capabilities and contribute to the development of innovative data-driven solutions.

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Medical Imaging Analyst

A Medical Imaging Analyst analyzes medical images to diagnose and treat diseases. This course provides knowledge in stereo vision and 3D reconstruction, which are useful techniques for analyzing medical images and extracting clinically relevant information. By understanding these techniques, learners can contribute to the development of more accurate and efficient medical imaging systems.

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Geospatial Analyst

A Geospatial Analyst analyzes geographic data to solve problems and make informed decisions. This course provides a foundation in stereo vision and 3D reconstruction, which are useful techniques for extracting 3D information from satellite imagery and aerial photographs. By understanding these techniques, learners can contribute to the development of more accurate and detailed geospatial maps and models.

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Quality Assurance Engineer

A Quality Assurance Engineer ensures the quality of software products and systems. This course provides knowledge in computer vision techniques, which can be applied to automated testing and quality assurance processes. By understanding these techniques, learners can contribute to the development of more efficient and reliable software testing methods.

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System Architect

A System Architect designs and builds complex systems, such as computer networks, software systems, and embedded systems. This course provides a foundation in computer vision techniques, which can be applied to various system design and development tasks, such as image processing, object recognition, and tracking. By understanding these techniques, learners can contribute to the development of more advanced and capable systems.

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Product Manager

A Product Manager plans, develops, and launches new products and features. This course provides a foundation in computer vision techniques, which can be applied to various product development tasks, such as market research, user experience design, and product testing. By understanding these techniques, learners can contribute to the development of more innovative and user-friendly products.

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Technical Writer

A Technical Writer creates and maintains technical documentation, such as user manuals, white papers, and training materials. This course provides knowledge in computer vision techniques, which can be applied to creating technical documentation for complex systems and technologies. By understanding these techniques, learners can contribute to the development of more clear and informative technical documentation.

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Teacher

A Teacher educates students in a variety of subjects. This course provides a foundation in computer vision techniques, which can be applied to teaching and learning activities, such as creating interactive simulations, visualizing data, and developing educational games. By understanding these techniques, learners can contribute to the development of more engaging and effective learning experiences.

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Entrepreneur

An Entrepreneur starts and runs their own business. This course provides a foundation in computer vision techniques, which can be applied to developing new products and services. By understanding these techniques, learners can contribute to the development of more innovative and profitable businesses.

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Consultant

A Consultant provides advice and expertise to clients on a variety of topics. This course provides a foundation in computer vision techniques, which can be applied to consulting projects in various industries, such as manufacturing, healthcare, and retail. By understanding these techniques, learners can contribute to the development of more informed and effective consulting solutions.

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Analyst

An Analyst gathers and analyzes data to provide insights and recommendations. This course provides a foundation in computer vision techniques, which can be applied to data analysis tasks, such as image recognition, object detection, and tracking. By understanding these techniques, learners can contribute to the development of more accurate and informative data analysis reports.

See salaries and explore the career path for Analyst