Computer Vision

Year
1

Academic year
2017-2018

Code
02000574

Subject Area
Optional

Language of Instruction
Portuguese

Mode of Delivery
Face-to-face

Duration
SEMESTRIAL

ECTS Credits
6.0

Type
Elective

Level
2nd Cycle Studies - Mestrado

Recommended Prerequisites

Signals and Systems, Signal Processing, Control, Computational Mathematics.

Teaching Methods

The teaching methodologies include theoretical classes using both the blackboard and the projection of slides as well as practical classes where computational assignments are implemented.

Learning Outcomes

Understand aspects related to the radiometric and geometric image formation. Learn methods to estimate image features and relate them to 3D structures. Learn methods for 3D reconstruction and also for the estimation of 3D motion.

Work Placement(s)

Syllabus

Formation and acquisition of images. Cameras and geometric calibration. Color and radiometry. Linear filters and edge detection. Texture. Segmentation. Stereo Vision. Motion and its projection. Optical floa. 3D reconstruction. Dynamic Vision.

Head Lecturer(s)

Hélder de Jesus Araújo

Assessment Methods

Assessment
Exam: 50.0%
Laboratory work or Field work: 50.0%

Bibliography

Computer Vision—A Modern Approach, Forsyth & Ponce, Prentice-Hall

Introductory Techniques for 3-D Computer Vision, Emanuele Trucco & Alessandro Verri, Prentice-Hall

Multiple View Geometry in Computer Vision, R. Hartley & A. Zisserman, Cambridge University Press