كلية الهندسة - جامعة عين شمس, الرئيسية

الرئيسية  >  كلية الهندسة - جامعة عين شمس, الرئيسية

Computer Vision

What Will Learn?

  • Course Aims
    By the end of the course the students will be able to: • Demonstrate knowledge and understanding of the concepts of image processing and computer vision. • Recognize different applications of computer vision in various fields. • Learn different solution designs and methods of image processing and computer vision problems. • Demonstrate knowledge and understanding of related fields (linear algebra, signal processing, mathematics and statistics), and their role in the computer vision process. • Apply the knowledge and practice for designing and implementing real applications.
  • Course Goals
  • Decent Work and Economic Growth
  • Industry, Innovation and Infrastructure
  • Sustainable Cities and Communities

Requirements

PHM113 AND CSE141

Description

  • English Description

    Image representation and processing. Multi-view geometry. Projective reconstruction. Edge detection. Morphological image processing. Feature extraction and selection. Harris corner detector. Image segmentation. Hough transform. Geometric transformations. Dynamic and hierarchical processing. Applications: Medical imaging, Visual surveillance and activity monitoring, Tracking.
  • Arabic Description

    Image representation and processing. Multi-view geometry. Projective reconstruction. Edge detection. Morphological image processing. Feature extraction and selection. Harris corner detector. Image segmentation. Hough transform. Geometric transformations. Dynamic and hierarchical processing. Applications: Medical imaging, Visual surveillance and activity monitoring, Tracking.
  • قسم
    هندسة الحاسبات والنظم
  • الساعات المعتمدة
    3
  • الدرجات
    الإجمالي ( 100 ) = نصف العام (25) + tr.Major Assessment (30 = tr.Industry 0% , tr.Project 15% , tr.Self_learning 5% , tr.Seminar 15% ) + tr.Minor Assessment (5) + درجة الامتحان (40)
  • الساعات
    ساعات المحاضرة: 2, ساعات التعليم: 2, ساعات المعمل: 0
  • Required SWL
    125
  • Equivalent ECTS
    5
  • - Richard Szeliski, Computer Vision Algorithms and Applications, Second Edition, Springer 2022.
  • - Gonzalez & Woods, Digital Image Processing, Fourth Edition, Pearson, 2017.
  • - Forsyth & Ponce, Computer Vision a Modern Approach 2Ed, Pearson, 2012 (advanced).