Lecturer(s): Mohsen ARDABILIAN, Alexandre SAIDI, Liming CHEN
Course ⋅ 16 hStudy ⋅ 4 h


Computer vision aims to model and automate the visual recognition process by the machine and has many applications (e.g., industrial inspection, robotic navigation, human-machine interaction, etc.). This course introduces the key concepts and techniques of the field and covers the following topics: image formation and filtering, contour detection and segmentation, local descriptors and their matching, stereovision, movement and structure estimation, detection and recognition of objects.


Image Filtering and processing, edge detection and segmentation, local descriptors, motion tracking, stereo vision, object detection and recognition


  • Introduction to Computer Vision
  • Reminders on image formation and filtering, contour detection by variational techniques
  • Reminders on homogeneous coordinates and geometric transformation
  • Projective Geometry
  • Segmentation of images and objects
  • Local Feature’s Descriptors and Matching
  • Movement tracking and structure estimation
  • Camera Calibration and Stereo Vision
  • Object detection and recognition

Learning Outcomes

  • Understand the process of image formation and stereovision
  • To be able to implement fundamental techniques to improve and process images
  • Develop vision applications for the detection of simple objects


The final test and scores of BE