مبانی بینایی کامپیوتر (کارشناسی)
بهار ۹۶

Introduction to computer vision (Undergraduate Course)
Spring 2017

Instructor:

• Behrooz Nasihatkon

Teaching Assistants:

• Behnam Samadi
  

References:

No specific reference is needed. The following are recommended:

• Computer Vision: Algorithms and Applications by Richard Szeliski.

• OpenCV-Python Tutorials

Tools and Platforms:

• Python + (numpy, scipy, matplotlib) + OpenCV

Schedule, and Lab instructions

For an updated schedule and new lab instructions see Introduction to computer vision - Spring 2018

Homework and Projects

• Homework 1 - Python Programming
• Homework 2 - Implementing Histogram Equalization
• Homework 3 - Detecting Road Horizon using Hough Transform and RANSAC
• Final Project 4 - Virtual football field painting and distance measurement

Exams

• Midterm Exam     Key
• Final Exam          Key