Getting Crevices, Cracks, and Grooves in Line: Anomaly Categorization for AQC Judgment Models

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1 Citationer (Scopus)

Abstrakt

The production of high-end manufactured products requires expensive human aesthetic quality control (AQC) in the form of e.g. visual inspection at multiple stages during production. Current standards for aesthetic quality control focus on the process, i.e. identifying the source of anomalies and lack an observer-oriented classification (describing the perceived appearance). We found a need for a perceptual categorization of anomalies that can help assessors making quality judgments and we present a judgment model for AQC. To this end, we studied visual inspection task flows, and processes especially around limit samples at Bang Olufsen. Based on perceptual responses in the human visual system, we propose a categorization consisting of open and closed shapes. The latter contains areas, lines, alignment, and constellations. The categorization can help in automating AQC using computer vision.

OriginalsprogEngelsk
TitelTenth International Conference on Quality of Multimedia Experience (QoMEX), 2018
Antal sider3
ForlagIEEE
Publikationsdato11 sep. 2018
Artikelnummer8463295
DOI
StatusUdgivet - 11 sep. 2018
BegivenhedTenth International Conference on Quality of Multimedia Experience (QoMEX), 2018 - Sardinia, Italien
Varighed: 29 maj 20181 jun. 2018

Konference

KonferenceTenth International Conference on Quality of Multimedia Experience (QoMEX), 2018
LandItalien
BySardinia
Periode29/05/201801/06/2018
NavnInternational Conference on Quality of Multimedia Experience (QoMEX)
ISSN2472-7814

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