Universidad de Jaén

I. INTRODUCTION

Lesson 1. Computer vision introduction

• Concepts and definitions. Introduction to Computer Vision.
• Fields of application.
• Devices.

II. IMAGE PROCESSING CHAIN

Lesson 2. Image Acquisition.

• Vision sensors.
• Optical systems.
• Lighting in machine vision.

Lesson 3. Pre-processing

• Contrast.
• Noise reduction.
• Image enhacement.

Lesson 4. Edge extraction

• Introduction.
• Gradient detectors.
• Laplacian detectors.
• Canny edge detector.

Lesson 5. Image segmentation.

• Introduction.
• Line detection using hough transform.
• Thresholding.
• Region-based segmentation.

Lesson 6. Features extraction

• Introduction.
• Boundary descriptors.
• Regional descriptors.

Lesson 7. Object recognition.

• Foundations.
• Decision functions.
• Parametric classifiers.
• Non-parametric classifiers.

III. MACHINE VISION SYSTEMS

• Industrial machine vision inspection.
• Robot vision.

PRACTICE

• P0. Matlab introduction.
• P1. An introduction to Graphical user interfaces. 
• P2. Graphical user interfaces
• P3. Noise removing.
• P4. Edge detection (I).
• P5. Edge detection (II).
• P6. Segmentation (I).
• P7. Segmentation (II).
• P8. Segmentation (III).
• P9. Feature extraction (I).
• P10. Feature extraction (II).
• P11. Object recognition (I).
• P12. Object recognition (II).

Lecture and programming practices are part of the activities included in the course. In addition, industrial applications using computer vision will be presented (Project based learning).

Students with special educational needs should contact the Student Attention Service (Servicio de Atención y Ayudas al Estudiante) in order to receive the appropriate academic support

Students with special educational needs should contact the Student Attention Service (Servicio de Atención y Ayudas al Estudiante) in order to receive the appropriate academic support

In order to pass the course the following issues have to be fulfilled:

1. Pass the practices
2. Pass the   programming task and  theory exam.
3. Pass the case of study

The programming task and theory exam (assessed   comp.): CB3R, CB5R, CEX7, CEX8

The practices and the case of study (assessed   comp.): CB3R, CB5R, CEX7, CEX8

 The following   learning results are achieved when the student passes the course: Result 34, Result35, Resultado 36, Result 37, Result 38, Result 39.

 1. COURSE DESCRIPTION AND TEACHING METHODOLOGY 

 2.   ASSESSMENT METHODOLOGY

Ordinary call

Extraordinary call

 3. RESOURCES  

• Software installed in the Univerisity of Jaén virtual PCs.
• Open source software.
• GSuite Meet and UJA LMS platform

• 1. COURSE DESCRIPTION AND TEACHING METHODOLOGY 

 2. ASSESSMENT METHODOLOGY

Both calls follow the same methodology

 3. RESOURCES

Software installed in the Univerisity of Jaén virtual PCs.

Open source software.

GSuite Meet and UJA LMS platform

Institution in charge of data processing: Universidad de Jaén, Campus Las Lagunillas, s/n, 23071 Jaén

Data Protection Delegate: dpo@ujaen.es

Purpose: In accordance with the Universities Law and other national and regional regulations in force, carrying out exams and assessment tests corresponding to the courses students are registered in. In order to avoid frauds while sitting the exam, the exam will be answered using a videoconference system, being able the academic staff of the University of Jaén to compare and contrast the image of the person who is answering the exam with the student's photographic files. Likewise, in order to provide the exam with evidential content for revisions or claims, in accordance with current regulation frameworks, the exam will be recorded and stored.

Legitimacy: compliance with legal obligations (Universities Law) and other national and regional regulations currently in force.

Addressees: service providers who are the owners of the platforms where the exams are carried out and with whom the University of Jaén has signed the corresponding data access contracts.

Storage periods: those established in current in force regulations. In the specific case of exam videoconference recordings, not before the examination records and transcripts are closed or the exam can still be reviewed or challenged.

Rights: you can exercise your right of access, amendment, cancellation, opposition, suppression, limitation and portability by sending a letter to the postal or electronic address indicated above. In the event that you consider that your rights have been violated, you may submit a complaint to the Andalusian Council for Transparency and Data Protection www.ctpdandalucia.es

Person in charge: Universidad de Jaén, Paraje Las Lagunillas, s/n; Tel.953 212121; www.ujaen.es

Data protection delegate (DPO): TELEFÓNICA, S.A.U. ; Email: dpo@ujaen.es

Procedure aim: To manage proper recordings of teaching sessions with the aim of facilitating learning process under a multimodal and/or online teaching

Period for record storage: Images will be kept during legal term according to regulations in force

Legitimacy: Data will be managed according to legal regulations (Organic Law 6/2001, December 21, on Universities) and given consent provided by selecting corresponding box in legal admission documents

Data recipients (transfers or assignments): Any person allowed to get access to every teaching modality

Rights: You may exercise your rights of access, rectification, cancellation, portability, limitation of processing, deletion or, where appropriate, opposition. To exercise these rights, you must submit a written request to the Information, Registration and Electronic Administration Service of the University of Jaen at the address above, or by e-mail to the address above. You must specify which of these rights you are requesting to be satisfied and, at the same time, you must attach a photocopy of your ID card or equivalent identification document. In case you act through a representative, legal or voluntary, you must also provide a document that proves this representation and identification. Likewise, if you consider that your right to personal data protection has been violated, you may file a complaint with the Andalusian Data Protection and Transparency Council www.ctpdandalucia.es