Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/77595
Title: Fashion accessory segmentation
Authors: Wen, JJ
Wong, WK 
Keywords: Counting
Fashion accessory
Image-searching
Recognition
Segmentation
Issue Date: 2017
Publisher: Woodhead Publishing, an imprint of Elsevier
Source: In WK Wong (Ed.), Applications of computer vision in fashion and textiles, p. 223-252. Duxford, U.K. : Woodhead Publishing, an imprint of Elsevier, 2017 How to cite?
Abstract: Fashion accessory is very popular in our daily life due to its charming aestheticism that makes the user look confident and beautiful. Nowadays, in the manufacture process of fashion accessory product, the workers in the factories usually have to identify the types of material used, count their quantities, search their cost and further check their availability in the inventory, and finally calculate the total material cost. All these steps are operated manually and it takes the workers a long time to finish these steps. In this chapter, a fashion accessory segmentation and counting (FASC) system prototype will be introduced to handle the above mentioned problems. The key feature of the FASC system prototype is to adopt the computer vision and pattern recognition techniques for automating the above steps in the process of product development.
URI: http://hdl.handle.net/10397/77595
ISBN: 9780081012185
9780081012178
DOI: 10.1016/B978-0-08-101217-8.00009-9
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