• Skip to primary navigation
  • Skip to main content
  • Skip to primary sidebar
  • Skip to footer

PyImageSearch

You can master Computer Vision, Deep Learning, and OpenCV - PyImageSearch

  • Consulting
  • YouTube
  • OpenCV Install Guides
  • About
  • FAQ
  • Contact
  • Coaching
  • Get Started
  • Topics
    • Deep Learning
    • Dlib Library
    • Embedded/IoT and Computer Vision
    • Face Applications
    • Image Processing
    • Interviews
    • Keras and TensorFlow
    • Machine Learning and Computer Vision
    • Medical Computer Vision
    • Optical Character Recognition (OCR)
    • Object Detection
    • Object Tracking
    • OpenCV Tutorials
    • Raspberry Pi
  • Books and Courses
  • Student Success Stories
  • Blog
  • Consulting
  • About
  • FAQ
  • Contact

What should my research topic in computer vision or deep learning be on?

April 22, 2019 by Adrian Rosebrock Leave a Comment

A

What should my research topic in computer vision or deep learning be on?

Do you already have an advisor at your school or university?

If so, you should talk with your advisor first.

It will be much easier for you to complete your research if you focus on areas your advisor already has expertise in. Look at what your advisor has published. What is their research interests? Could you align your own research interests with your advisors in some tangential way?

Not only will your advisor be more naturally interested in your research but they will be able to provide you additional help and guidance through their added domain knowledge.

If you don’t have an advisor I would suggest reading the most recent publications from popular computer vision and machine learning journals, including CVPR, ICML, NIPs, etc.

Read the abstracts and conclusions from these journals and keep track of the ones that interest you the most.

Then, when you’re done, go back to your short list and brainstorm how you might extend their works.

Permalink

About the Author

Hi there, I’m Adrian Rosebrock, PhD. All too often I see developers, students, and researchers wasting their time, studying the wrong things, and generally struggling to get started with Computer Vision, Deep Learning, and OpenCV. I created this website to show you what I believe is the best possible way to get your start.

Reader Interactions

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

You can learn Computer Vision, Deep Learning, and OpenCV.

Get your FREE 17 page Computer Vision, OpenCV, and Deep Learning Resource Guide PDF. Inside you’ll find our hand-picked tutorials, books, courses, and libraries to help you master CV and DL.


Footer

Topics

  • Deep Learning
  • Dlib Library
  • Embedded/IoT and Computer Vision
  • Face Applications
  • Image Processing
  • Interviews
  • Keras
  • Machine Learning and Computer Vision
  • Medical Computer Vision
  • Optical Character Recognition (OCR)
  • Object Detection
  • Object Tracking
  • OpenCV Tutorials
  • Raspberry Pi

Books & Courses

  • PyImageSearch University
  • FREE CV, DL, and OpenCV Crash Course
  • Practical Python and OpenCV
  • Deep Learning for Computer Vision with Python
  • PyImageSearch Gurus Course
  • Raspberry Pi for Computer Vision

PyImageSearch

  • Affiliates
  • Get Started
  • OpenCV Install Guides
  • About
  • FAQ
  • Blog
  • Contact
  • Privacy Policy

© 2023 PyImageSearch. All Rights Reserved.