Go to:
Logótipo
Você está em: Start > Publications > View > Chapter 15 - Building Virtual Driving Environments From Computer-Made Projects
Publication

Chapter 15 - Building Virtual Driving Environments From Computer-Made Projects

Title
Chapter 15 - Building Virtual Driving Environments From Computer-Made Projects
Type
Chapter or Part of a Book
Year
2018
Authors
Carlos Campos
(Author)
Other
The person does not belong to the institution. The person does not belong to the institution. The person does not belong to the institution. Without AUTHENTICUS Without ORCID
Hugo Pinto
(Author)
Other
The person does not belong to the institution. The person does not belong to the institution. The person does not belong to the institution. Without AUTHENTICUS Without ORCID
João Leitão
(Author)
Other
The person does not belong to the institution. The person does not belong to the institution. The person does not belong to the institution. Without AUTHENTICUS Without ORCID
João Pereira
(Author)
Other
The person does not belong to the institution. The person does not belong to the institution. The person does not belong to the institution. Without AUTHENTICUS Without ORCID
António Coelho
(Author)
FEUP
View Personal Page You do not have permissions to view the institutional email. Search for Participant Publications View Authenticus page View ORCID page
Carlos Rodrigues
(Author)
FEUP
View Personal Page You do not have permissions to view the institutional email. Search for Participant Publications View Authenticus page View ORCID page
Scientific classification
CORDIS: Technological sciences > Engineering
FOS: Engineering and technology > Electrical engineering, Electronic engineering, Information engineering
Other information
Resumo (PT):
Abstract (EN): Over the last few years, numerous studies have been conducted that have sought to address automatic image classification. These approaches have used a variety of experimental sets of images from several photography sites. In this chapter, the authors look at some of the most widely used in the field of computational aesthetics as well as the capacity for generalization that each of them offers. Furthermore, a set of images built up by psychologists is described in order to predict perceptual complexity as assessed by a closed group of persons in a controlled experimental setup. Lastly, a new hybrid method is proposed for the construction of a set of images or a dataset for the assessment and classification of aesthetic criteria. This method brings together the advantages of datasets based on photography websites and those of a dataset where assessment is made under controlled experimental conditions.
Language: English
Type (Professor's evaluation): Scientific
No. of pages: 15
Documents
We could not find any documents associated to the publication.
Related Publications

Of the same scientific areas

E3.1 – Relatório: “Interfaces: Identificação e caracterização de necessidades/oportunidades de integração/interoperabilidade” (2021)
Technical Report
Hipólito Sousa; Joaquim Moreira; Jorge Teixeira; José Ferreira; Yanh Ribeiro
Construção de Amostras de Dados do Twitter (2013)
Summary of Presentation in a National Conference
Tiago Magalhães; Sérgio Nunes
3D object reconstruction from uncalibrated images using an off-the-shelf camera (2009)
Chapter or Part of a Book
Teresa C. S. Azevedo; João Manuel R. S. Tavares; Mário A. P. Vaz
Supporting Real-Time Communication in Large-Scale Wireless Sensor Networks (2014)
Chapter or Part of a Book
Erico Leão; Francisco Vasques; Paulo Portugal
Parallel Algorithms for Multirelational Data Mining: Application to Life Science Problems (2016)
Chapter or Part of a Book
Jorge G. Barbosa; Rui Camacho; Altino Sampaio; João Ladeiras; Nuno A. Fonseca; Costa, VS

See all (77)

Recommend this page Top
Copyright 1996-2024 © Faculdade de Arquitectura da Universidade do Porto  I Terms and Conditions  I Acessibility  I Index A-Z  I Guest Book
Page created on: 2024-11-08 at 23:03:23 | Acceptable Use Policy | Data Protection Policy | Complaint Portal