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https://hdl.handle.net/1822/70955
Título: | Extracting clothing features for blind people using image processing and machine learning techniques: first Insights |
Autor(es): | Rocha, Daniel Carvalho, Vítor Soares, Filomena Oliveira, Eva |
Palavras-chave: | Blind people Clothes recognition Image processing Machine learning |
Data: | 2019 |
Editora: | Springer |
Revista: | Lecture Notes in Computational Vision and Biomechanics |
Citação: | Rocha D., Carvalho V., Soares F., Oliveira E. (2019) Extracting Clothing Features for Blind People Using Image Processing and Machine Learning Techniques: First Insights. In: Tavares J., Natal Jorge R. (eds) VipIMAGE 2019. VipIMAGE 2019. Lecture Notes in Computational Vision and Biomechanics, vol 34. Springer, Cham. https://doi.org/10.1007/978-3-030-32040-9_42 |
Resumo(s): | Vision is one of the senses that dominates the life of humans. It allows them to know and have the perception of the world around them, while giving meaning for objects, concepts and ideas, and tastes. How to dress and the style we prefer for different occasions is part of one’s identity. Blind people do not have this sense, and dressing can be a difficult and stressful task. With the advance of technology it is important to minimize all the limitations of a blind person in the management of garments. Not knowing the colors, the type of pattern, or even the state of the garments make this a daily challenge in which nowadays resources are not the best. Thus, the approach of this project is to address this issue of extracting the basic characteristics and conditions of the garment (in good conditions, dirty or wrinkly) in order to help the blind. |
Tipo: | Capítulo de livro |
URI: | https://hdl.handle.net/1822/70955 |
ISBN: | 978-3-030-32039-3 |
DOI: | 10.1007/978-3-030-32040-9_42 |
ISSN: | 2212-9391 |
Versão da editora: | https://link.springer.com/chapter/10.1007/978-3-030-32040-9_42 |
Arbitragem científica: | yes |
Acesso: | Acesso restrito UMinho |
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Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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vipimage_DanielRocha.pdf Acesso restrito! | 311,09 kB | Adobe PDF | Ver/Abrir |