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COMPUTER VISION
  • COMPUTER VISION MY ROAD
  • Chapter1
    • Human Vision, Color spaces, Transform
    • Image Basics
    • Resizing, Filters, Convolutions
    • OPENCV BASICS
      • Read images videos and webcam
      • Basic Functions
      • Resizing and Cropping
      • Shapes and Texts
      • Warp Perspective
      • Joining Images
      • Color Detection
      • Contours/Shape Detection
      • Face Detection (Cascade Method)
      • Optical Character Recognition(OCR)-Tesseract
    • OPENCV PROJECTS
      • Virtual Paint
      • Document Scanner
      • Number Plate Detection
  • Chapter2
    • UDACITY-Computer Vision
      • 6A-L1:INTRODUCTION TO MOTION
      • 6B-L1:DENSE FLOW: BRIGHTNESS CONSTRAINT
      • 6B-L2:DENSE FLOW: LUCAS AND CANADE
      • 6B-L3:HIERARCHIAL LK
      • 6B-L4:MOTION MODELS
    • UNIVERSITY OF WASHINGTON- OPTICAL FLOW
    • THE UNIVERSITY OF WESTERN AUSTRALIA
    • Project-OpenCV Object Tracking
  • Chapter3
    • Rich Radke, Rensselaer Polytechnic Institute-Image Segmentation
    • Indian Institute Of Technology-Image Segmentation
    • Project: Lane Line Detection
  • Chapter4
    • Features, Matching, and RANSAC
    • Implementations
    • Project: Finding Vanishing Point
  • Chapter5
    • YOLOV3
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Chapter3

PreviousProject-OpenCV Object TrackingNextRich Radke, Rensselaer Polytechnic Institute-Image Segmentation

Last updated 4 years ago

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Part 2: Mid Level Vision (image > features)

Week 3 (Basic Segmentation)

  • Segmentation and clustering algorithms like watershed, grabcut

  • Interactive segmentation

  • Hough transform (detect circles, lines)

  • Foreground Extraction

Video Lectures

Reading Assignments

  • Sec Sec 5.2-5.4

Project

  • Segment Lane lines in a road image with OpenCV

https://www.youtube.com/watch?v=ZF-3aORwEc0
https://www.youtube.com/watch?v=3qJej6wgezA
http://szeliski.org/Book/drafts/SzeliskiBook_20100903_draft.pdf