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Characteristic style of clothing based on cognitive research and implementation of self- classification

Author: ZhongXiaoDong
Tutor: LiJiYun
School: Donghua University
Course: Applied Computer Technology
Keywords: Clothing styles Self- classification Visual attention model Multi-objective MILN autonomous development network LCA Clothing style characteristics
CLC: TS941.11
Type: Master's thesis
Year: 2012
Downloads: 84
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Abstract


Clothing style is a very strong concept of subjectivity , which has a determinant of complex criteria personalization features of the rapid development of a strong and style features, these features make the clothing style of identification and classification becomes complicated. Traditional style quantification and classification methods are not well meet the clothing style personalized strong and rapid development features , but the clothing style of human recognition performance is quite good . In response to these clothing styles characteristic features of this study based on cognitive style of clothing autonomous classification method . The main contribution of this paper include: clothing styles for classification and identification of complex , traditional clothing styles quantification and classification method can not meet the characteristics of the issues raised clothing styles based on multi-objective MILN (Multi-Layer In-place Learning Network) network independent development clothing style classification method, which adapted well to clothing style personalized strong and rapid development features to address their own personalized clothing style classification problems . Visual attention model Itti difficult for a good finish on the garment parts such subjective definition of visual attention objects proposed autonomous development network based MILN visual attention model, which through the establishment of an independent self- development network -based MILN Top-down visual attention channel , the use of multi-objective MILN autonomous development network as a repository of visual attention , to solve the visual attention of the clothing component problems for multi-objective MILN developmental networks provide autonomous target input . The traditional style of clothing profiling techniques are not well adapted rapidly growing apparel features the issues raised clothing styles based on characteristics of the LCA method to multi-objective MILN web-based self- development , through the analysis of network Lobe obtained corresponding to a particular clothing style clothing style characteristics , and using self- developed network of independent MILN developmental characteristics to solve the traditional clothing style clothing style characteristics of the rapid development of methods and the characteristics of the contradiction between . Finally, the integration of these models and algorithms are given their own clothing style classification system design and implementation.

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CLC: > Industrial Technology > Light industry,handicrafts > Garment industry,footwear industry > Garment industry > Basic theory > Clothing aesthetic,clothing and color science
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