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open access

Hybrid Human-Artificial Intelligence Approach for Pavement Distress Assessment (PICUCHA)

Description: This article proposes a new method named PICture Unsupervised Classification with Human Analysis (PICUCHA) to circumvent many of the limitations of existing approaches, based on a combination of human and artificial intelligence.
Date: July 2017
Creator: Salini, Reus; Xu, Bugao & Carvalho, Regis
Partner: UNT College of Merchandising, Hospitality and Tourism
open access

Anthropometric data collection of Portuguese children using 3D body scanning: considerations about the scanning booth

Description: Presented at the 2017 World Textile Conference. This paper presents some considerations regarding the scanning booth used in an anthropometric study done with a 3D body scanning technology.
Date: May 2017
Creator: de Campos, R.; Carvalho, M. A.; Lopes, H. P. & Xu, Bugao
Partner: UNT College of Merchandising, Hospitality and Tourism
open access

Sizing for the apparel industry using statistical analysis - a Brazilian case study

Description: Presented at the 2017 World Textile Conference. This paper presents results from a study of the body measurements of Brazilian women using the Kinect Body Imaging system for 3D body scanning to understand the need for accurate measurements in the apparel industry.
Date: May 2017
Creator: Capelassi, C. H.; Carvalho, M. A.; Kattel, C. El & Xu, Bugao
Partner: UNT College of Merchandising, Hospitality and Tourism
open access

Pavement Distress Detection with PICUCHA Methodology for Area-Scan Cameras and Dark Images

Description: This article discusses the test of the PICture Unsupervised Classification with Human Analysis (PICUCHA) performance with images taken with area-scan cameras and flash light illumination over a pavement with dark textures.
Date: April 2017
Creator: Salini, Reus; Xu, Bugao & Paplauskas, Paulius
Partner: UNT College of Merchandising, Hospitality and Tourism
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