Project

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.

• 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

The final test and scores of BE