M- tech _Computer vision course content details is here
Resource: modern computer vision, subscribe to this nptel course
Course name: Computer vision
Who can take this course: Tech student Background: Programming(python/cpp)
Gain: Get Knowledge in image processing, deep learning, programming
Course content:
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Introduction Computer vision a. Application b. Current tends with autonomous robots
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Image : a. Basics of image formation b. Recording of images : real time camera system c. Image representation d. Image properties
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Image processing a. Filtering b. Convolution c. Edge detection/ pattern detection with real time example d. Image enhancement technique
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Introduction to computer vision Pre-requisite : cpp or python programming/matlab programming
a. Install vision system library (OpenCV/Matlab/Tensorflow/ Visio/ viso suite/ vino) b. Real time h/w( Cognex, Keyence, neurocheck)
c. Basics image manipulation d. Basic function related to each library -
Feature extraction a. Feature matching b. Pattern matching
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Object detection and tracking a. Object detection algorithm b. Object detection technique
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3d computer vision a. Stereoscopic vision b. Structure from motion c. Depth perception technique d. Camera based measurement
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Deep learning for computer vision a. Introduction to CNN b. How to use transfer learning c. Deep learning architecture
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Semantic segmentation and Object recognition with deep learning a. Introduction to semantic segmentation b. Advanced object recognition technique c. Case studied for deep learning for computer vision
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Robotics integration computer vision a. Vision SLAM fundamentals
b. Visual SLAM techniques c. Integration of CV in robotics
d. Real world SLAM application -
Compute vision with robotics
a. Robot/machine vision system b. Application in Autonomous system/machines