MathWorks
Computer Vision for Engineering and Science Specialization
MathWorks

Computer Vision for Engineering and Science Specialization

Quickly gain skills in Computer Vision. Learn essential computer vision skills like aligning images, detecting objects, and tracking motion

Amanda Wang
Isaac Bruss
Matt Rich

Instructors: Amanda Wang

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4.7

(56 reviews)

Intermediate level

Recommended experience

1 month
at 10 hours a week
Flexible schedule
Learn at your own pace
Get in-depth knowledge of a subject
4.7

(56 reviews)

Intermediate level

Recommended experience

1 month
at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Use a variety of algorithms to detect & match image features & perform image registration

  • Train image classification & detection models using traditional image features

  • Perform multi-object tracking to count, track, & determine the direction of objects in video files

  • Use deep learning models such as YOLO to perform object detection & compare their size and speed

Details to know

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Taught in English

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Specialization - 3 course series

Introduction to Computer Vision

Course 18 hours4.5 (39 ratings)

What you'll learn

  • Use common algorithms for feature detection, extraction, & matching

  • Perform image registration by identifying control points & estimating geometric transformations

  • Complete a final project where you stitch together images from NASA’s Mars Curiosity Rover

  • Combine images with image stitching to create panorama images

Skills you'll gain

Category: Image Processing
Category: Computer Vision
Category: Image Stitching
Category: Image Registration
Category: Matlab

Machine Learning for Computer Vision

Course 211 hours4.8 (16 ratings)

What you'll learn

  • Prepare data and create features for classifying images

  • Train & evaluate models to classify images using

  • Train & evaluate object detection machine learning models

  • Customize model training for different applications using cost matrices

Skills you'll gain

Category: Computer Vision
Category: Object Detection
Category: Machine Learning
Category: Predictive Modelling
Category: image classification

Object Tracking and Motion Detection with Computer Vision

Course 313 hours4.8 (23 ratings)

What you'll learn

  • Use pre-trained deep neural networks like YOLO to perform object detection

  • Use optical flow to detect motion & moving objects

  • Perform multi-object tracking to count, track, & determine the direction of objects

Skills you'll gain

Category: Computer Vision
Category: Object Detection
Category: Motion Detection
Category: Optical Flow
Category: Tracking

Instructors

Amanda Wang
MathWorks
9 Courses24,252 learners

Offered by

MathWorks

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