Learn about the most advanced computer vision techniques thanks to this postgraduate diploma, which prepares you to successfully face all future challenges in the field of machine vision"

Computer vision is a complex and expanding field that is constantly adding new applications and utilities. Therefore, in order to get the most out of computer vision tools, it is important to master the most advanced and innovative techniques in this area. Accordingly, this postgraduate diploma in Advanced Web-Based Computer Vision Techniques responds to this challenge, providing the professional with the most recent procedural and technological advances in this field.

In this program, therefore, computer scientists will be able to study aspects such as 2D image depth maps, depth measurement, 3D object recognition, semantic segmentation in medicine or point cloud segmentation, among many others, in depth. In this way, the engineer will have been able to access numerous new and high-level contents in this area.

And this will be achieved thanks to a specialized and very experienced teaching staff that knows all the keys to the discipline, in addition to the large number of multimedia resources available in this program, such as interactive summaries, practical exercises, master classes or videos of techniques and procedures.

Learn about new computer vision procedures and incorporate them into your work immediately with this educational program" 

This postgraduate diploma in Advanced Web-Based Computer Vision Techniques contains the most complete and up-to-date program on the market. The most important features include:

• The development of case studies presented by experts in computer science and computer vision
• The graphic, schematic, and practical contents with which they are created, provide scientific and practical information on the disciplines that are essential for professional practice
• Practical exercises where the self-assessment process can be carried out to improve learning
• Its special emphasis on innovative methodologies
• Theoretical lessons, questions to the expert, debate forums on controversial topics, and individual reflection assignments
• Content that is accessible from any fixed or portable device with an Internet connection

Develop great computer vision projects thanks to everything you will learn in this postgraduate diploma"   

The program’s teaching staff includes professionals from sector who contribute their work experience to this program, as well as renowned specialists from leading societies and prestigious universities.

The multimedia content, developed with the latest educational technology, will provide the professional with situated and contextual learning, i.e., a simulated environment that will provide immersive education programmed to learn in real situations.

This program is designed around Problem-Based Learning, whereby the professional must try to solve the different professional practice situations that arise during the academic year. For this purpose, the student will be assisted by an innovative interactive video system created by renowned and experienced experts.

Your mastery of computer vision will give you access to numerous career opportunities in the best technology companies in the world"

You are looking for a program that will set you apart professionally and this is the perfect one for you, as it will allow you to become a computer vision specialist"

The objective of this postgraduate diploma in Advanced Web-Based Computer Vision Techniques is to provide computer scientists and engineers with the most innovative procedures in computer vision. This way, the professional will have the best tools to successfully perform their work, achieving a great job progress in the technology industry, either in the company itself or in one of the large companies in the sector.

Don't wait any longer. This is the future of technology and artificial intelligence"  

General Objectives

• Analyze semantic segmentation neural networks and their metrics
• Identify the most common architectures
• Establish Use Cases
• Apply correct cost function for learning
• Analyze public data sources (Datasets)
• Examine different labeling tools
• Develop the main phases of a segmentation-based project
• Determine how a 3D image is formed and its characteristics
• Introducing the open 3D library
• Analyze the advantages and difficulties of working in 3D instead of 2D
• Establish methods for the processing of 3D images

Specific Objectives

Module 1. 3D Image Processing

• Examine a 3D image
• Analyze the software used for 3D data processing
• Developing open3D
• Determine the relevant data in a 3D image
• Demonstrate visualization tools
• Establish denoising filters
• Propose geometric calculation tools
• Analyze object detection methodologies
• Evaluate triangulation and scene reconstruction methods

Module 2. Image Segmentation with Deep Learning

• Analyze how semantic segmentation networks work
• Evaluate traditional methods
• Examine evaluation metrics and different architectures
• Examine video domains and cloud points
• Apply theoretical concepts through various examples 

Module 3. Advanced Image Segmentation and Advanced Computer Vision Techniques

• Generate specialized knowledge on the handling of tools
• Examine semantic segmentation in medicine
• Identify the structure of a segmentation project
• Analyze Autoencoders
• Develop Generative Adversarial Networks

Become a leading web computer vision specialist thanks to this program"