Automatic embroidery texture synthesis for garment design and online display

2021 ◽  
Author(s):  
Xinyang Guan ◽  
Likang Luo ◽  
Honglin Li ◽  
He Wang ◽  
Chen Liu ◽  
...  
Keyword(s):  
Texture Synthesis ◽  
Garment Design

Decision making power of college girls in relation to clothing

2018 ◽  
Vol 9 (01) ◽  
Author(s):  
Parul Gill ◽  
Poonam Malik ◽  
Pankaj Gill
Keyword(s):  
Decision Making ◽  
Satisfaction Level ◽  
College Going ◽  
Level Of Satisfaction ◽  
High Level ◽  
Garment Design ◽  
Structured Questionnaire

The present study was undertaken to explore the decision making patterns of college girls in relation to clothing and their satisfaction level with these decision making patterns. Thirty under graduate college girls from Panipat city were approached to record their responses regarding decision making in relation to clothing and satisfaction level through a well structured questionnaire. It was found that most of the girls (56.66%) themselves made the decisions about the type of garment (Indian, western or both) they wear and majority of girls (70%) were highly satisfied with this decision making. Parents performed the role of buyers for their college going daughters' garments in most of the cases (63.33%) and the 73.33% girls had high level of satisfaction with this. In most of the cases (60%) the decision about the garment design was made by the girls themselves and they were highly satisfied with it. Keywords: clothing, college, girls, decision making.

Wang Tile-based improved texture synthesis

2010 ◽  
Vol 30 (8) ◽  
pp. 2098-2100 ◽  
Author(s):  
Feng XUE ◽  
Cheng CHENG ◽  
Ju-lang JIANG
Keyword(s):  
Texture Synthesis ◽  
Wang Tile

Review on Recent Patents in Texture Synthesis

2010 ◽  
Vol 2 (2) ◽  
pp. 111-115
Author(s):  
Weiming Dong ◽  
Jean-Claude Paul
Keyword(s):  
Texture Synthesis

scholarly journals Calcium functional imaging with high-resolution CT in the inner ear

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Hisaya Tanioka ◽  
Sayaka Tanioka
Keyword(s):  
Internal State ◽  
Texture Synthesis ◽  
Biological Information ◽  
Endolymphatic Sac ◽  
Otolith Organs ◽  
Synthesis Algorithm ◽  
Utricular Macula ◽  
Positional Vertigo ◽  
Paroxysmal Positional Vertigo

AbstractAlthough the otolith and otolith organs correlate with vertigo and instability, there is no method to investigate them without harmful procedures. We will create the technique for 3D microanatomical images of them, and investigate the in vivo internal state and metabolisms. The otolith and otolith organs images were reconstructed from a texture synthesis algorithm under the skull volume rendering algorithm using a cutting-plane method. The utricular macula was elongated pea-shaped. The saccular macula was almost bud-shaped. The changes in the amount of CaCO3 in the maculae and the endolymphatic sac showed various morphologies, reflecting the balance status of each subject. Both shapes and volumes were not always constant depending on time. In Meniere’s disease (MD), the saccular macula was larger and the utricular macula was smaller. In benign paroxysmal positional vertigo (BPPV), the otolith increased in the utricular macula but did not change much in the saccular macula. The saccule, utricle, and endolymphatic sac were not constantly shaped according to their conditions. These created 3D microanatomical images can allow detailed observations of changes in physiological and biological information. This imaging technique will contribute to our understanding of pathology and calcium metabolism in the in vivo vestibulum.

Deep Correlations for Texture Synthesis

2017 ◽  
Vol 36 (4) ◽  
pp. 1 ◽  
Author(s):  
Omry Sendik ◽  
Daniel Cohen-Or
Keyword(s):  
Texture Synthesis

scholarly journals Dual Stage Augmented Colorful Texture Synthesis from Hand Sketch

2019 ◽  
Author(s):  
Jinxuan Liu ◽  
Tiange Zhang ◽  
Ying Gao ◽  
Shu Zhang ◽  
Jinxuan Sun ◽  
...  
Keyword(s):  
Texture Synthesis ◽  
Dual Stage

Texture synthesis using a growth model

1978 ◽  
Vol 8 (3) ◽  
pp. 369-381 ◽  
Author(s):  
Ryuzo Yokoyama ◽  
Robert M. Haralick
Keyword(s):  
Growth Model ◽  
Texture Synthesis
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