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Number of hours
Lectures : 36.0
Tutorials : -
Laboratory works : -
Projects : -
Internship : -
Written tests : -
ECTS : 6.0
Officials :Sergi PUJADES ROCAMORA
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.
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
Linear algebra, basic programming, probability and statistics.
50% Mid term exam (3h) + 50 final exam.
The exam is given in english only
The course exists in the following branches:
Curriculum - Master in Computer Science - Semester 9 (this course is given in english only )