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Informatique et Mathématiques appliquées
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> Formation > Cursus ingénieur

Computer Vision - WMM9MO34

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  • Number of hours

    • Lectures : 36.0
    • Tutorials : -
    • Laboratory works : -
    • Projects : -
    • Internship : -
    • Written tests : -
    ECTS : 6.0
  • Officials : Sergi PUJADES ROCAMORA

Goals

This course covers advance techniques and theory in computer vision. It is offered as part of the Master of Science in Informatics at Grenoble, specialisation Graphics - Vision - Robotics.

All lectures are in English.

This course is composed of 12 lectures of 3h duration covering visual perception, detection, tracking, image description, machine learning techniques, Projective geometry, image formation, camera modles and motion tracking and spatio temporal models for shape.

Content

Lesson 1: Visual Perception in Man and Machine
Lesson 2: Detection, Tracking and Attention
Lesson 3: Local Image Description with Gaussian Derivatives
Lesson 4: Scale Space, HOG, SIFT and Interest points
Lesson 5: Projective Geometry and Camera Models
Lesson 6: Artificial Neural Networks for Pattern Recognition
Midterm Exam (50% of final grade)
Lesson 8: Calibration and Image Mosaics
Lesson 9: Structure from Motion
Lesson 10: Structure from Motion
Lesson 11: Shape Models
Lesson 12: Articulated Motion

Prerequisites

Linear algebra, basic programming, probability and statistics.

Tests

50% Mid term exam (3h) + 50 final exam.

The exam is given in english only FR

Calendar

The course exists in the following branches:

  • Curriculum - Master in Computer Science - Semester 9 (this course is given in english only EN)
see the course schedule for 2022-2023

Additional Information

Course ID : WMM9MO34
Course language(s): FR

The course is attached to the following structures:

You can find this course among all other courses.

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Date of update January 15, 2017

Université Grenoble Alpes