scholarly journals Selection of Three-Dimensional Garment Image Style Based on Three-Dimensional Body Shape Image Classification of Young Women

2007 ◽  
Vol 63 (12) ◽  
pp. 277-286 ◽  
Author(s):  
Tomoe Masuda ◽  
Kaori Murakami ◽  
Hidehiko Okabe ◽  
Mikako Nishi
Keyword(s):  
Image Classification ◽  
Young Women ◽  
Body Shape ◽  
Three Dimensional ◽  
Selection Of

scholarly journals Comparative Study of First Order Optimizers for Image Classification Using Convolutional Neural Networks on Histopathology Images

2020 ◽  
Vol 6 (9) ◽  
pp. 92
Author(s):  
Ibrahem Kandel ◽  
Mauro Castelli ◽  
Aleš Popovič
Keyword(s):  
Image Classification ◽  
First Order ◽  
Negative Images ◽  
Gradient Based ◽  
Manual Selection ◽  
Public Dataset ◽  
Histopathology Images ◽  
Experienced Physician ◽  
Selection Of

The classification of histopathology images requires an experienced physician with years of experience to classify the histopathology images accurately. In this study, an algorithm was developed to assist physicians in classifying histopathology images; the algorithm receives the histopathology image as an input and produces the percentage of cancer presence. The primary classifier used in this algorithm is the convolutional neural network, which is a state-of-the-art classifier used in image classification as it can classify images without relying on the manual selection of features from each image. The main aim of this research is to improve the robustness of the classifier used by comparing six different first-order stochastic gradient-based optimizers to select the best for this particular dataset. The dataset used to train the classifier is the PatchCamelyon public dataset, which consists of 220,025 images to train the classifier; the dataset is composed of 60% positive images and 40% negative images, and 57,458 images to test its performance. The classifier was trained on 80% of the images and validated on the rest of 20% of the images; then, it was tested on the test set. The optimizers were evaluated based on their AUC of the ROC curve. The results show that the adaptative based optimizers achieved the highest results except for AdaGrad that achieved the lowest results.

scholarly journals Classification of the pre-settlement behaviour of barnacle cyprids

2015 ◽  
Vol 12 (102) ◽  
pp. 20141104 ◽  
Author(s):  
Stojan Maleschlijski ◽  
Stella Bauer ◽  
Nick Aldred ◽  
Anthony S. Clare ◽  
Axel Rosenhahn
Keyword(s):  
Three Dimensional ◽  
Balanus Amphitrite ◽  
Body Density ◽  
Behavioural Responses ◽  
Settlement Cues ◽  
Classification Framework ◽  
Extensive Surface ◽  
Selection Of ◽  
Settlement Behaviour

Barnacle cyprids exhibit a complex swimming and exploratory behaviour on surfaces and settlement is a consequence of extensive surface probing and selection of suitable settlement sites. In this work, the behaviour of cyprids in their pre-settlement phase was studied by three-dimensional video stereoscopy. With this technique, three-dimensional trajectories were obtained that were quantitatively analysed. The velocity during vertical sinking of cyprids of Balanus amphitrite was used with a modified form of Stokes' law to calculate their mean body density. Furthermore, a classification of the swimming patterns allowed the extension of existing models describing cyprid locomotion and swimming behaviour. The patterns were characterized with respect to their occurrence, transition between patterns and their velocity distribution, and motions were identified that led to surface contacts. This analysis provides a classification framework, which can assist future attempts to identify behavioural responses of cyprids to specific settlement cues.

Classification of body shape characteristics of women's torsos using angles

2010 ◽  
Vol 22 (4) ◽  
pp. 297-311 ◽  
Author(s):  
Wookyung Lee ◽  
Haruki Imaoka
Keyword(s):  
Body Shape ◽  
Three Dimensional ◽  
The Body ◽  
Data Set ◽  
Content Type ◽  
Body Sizes ◽  
Body Shapes ◽  
Three Body ◽  
Shape Characteristics

PurposeThe purpose of this paper is to classify body shapes using angular defects instead of sizes.Design/methodology/approachA large amount of dimensional data from a national anthropometry survey was analysed, and a basic pattern and its polyhedron were also used to create a three‐dimensional body shape from three body sizes. Using this method, the sizes were converted into nine angular defects.FindingsThe authors could define the factors explaining body shape characteristics and classify the body shapes into four groups. The four groups could be characterised by two pattern making difficulties of the upper and lower parts of the body as well as by two proportions, of waist girth to bust girth and bust girth to back length. Furthermore, depending on the age, the authors could understand body shape by the angle made.Originality/valueUsing a polyhedron model, the angles could be calculated using an enormous existing data set of sizes. An angular defect serves as an index to indicate the degree of difficulty for developing a flat pattern. If an angular defect of the bust is large, it is difficult to make a paper pattern of a bust dart. On the other hand, if an angular defect of the waist is large, it is easy to make a paper pattern of a waist dart. Thus, each body shape could be simultaneously characterized by two difficulty indices and two proportions of sizes.

Study on Classification of Body Shape and Size Grading on Young Women of Quanzhou District

2014 ◽  
Vol 989-994 ◽  
pp. 5319-5322
Author(s):  
Can Yi Huang
Keyword(s):  
Young Women ◽  
Body Shape ◽  
The Body ◽  
Upper Body ◽  
Body Measurement ◽  
Lower Body ◽  
Classification Analysis ◽  
Spss Software ◽  
Size Grading

Body measurement was carried out on 500 young women, who come from Quanzhou district, and we also utilized SPSS software to carry on statistic analysis to the samples, 13 measuring body variables were chosen and 11derived variables were calculated. Then classification analysis was used to classify the body shape .Then this paper subdivided the upper body of young woman’s body shape into 4 kinds, the lower body into 4 kinds also .Finally, values of intermediate of every type and stepping number values of every measurement are calculated through regression analysis.So the database of classification of body shape and data of young woman was obtained.

A novel optimization approach to minimize aggregate-fit-loss for improved breast sizing

2020 ◽  
Vol 90 (15-16) ◽  
pp. 1823-1836
Author(s):  
Jie Pei ◽  
Jintu Fan ◽  
Susan P Ashdown
Keyword(s):  
Body Shape ◽  
Three Dimensional ◽  
The Body ◽  
Optimization Approach ◽  
Sizing System ◽  
Novel Method ◽  
Breast Shape ◽  
Sizing Systems ◽  
Shape Categorization ◽  
Selection Of

Ready-to-wear clothing is typically based on the body-shape of human fit models that an apparel company hires. The body-shape difference between a consumer and the fit model of their size results in fit-loss of a certain degree. Aggregate-fit-loss is a concept attempting to quantify and estimate the accumulative fit-loss that a population may encounter. This paper reports on a novel method that minimizes the aggregate-fit-loss of a sizing system for bras, through shape categorization and optimized selection of prototypes (which can be regarded as the most appropriate fit models, or standard dress forms) for the categorized groups. A fit-loss function was introduced that calculates the dissimilarity between any two three-dimensional body scans, via pointwise comparisons of the point-to-origin distances of 9000 points on the scan surface. The within-group aggregate-fit-loss is minimized by an algorithm that returns the optimal prototype for the group. The overall aggregate-fit-loss is reduced by breast shape categorization based on the dissimilarities between the scans. Finally, the constraint of band sizes was brought into the categorization to provide a more feasible solution for improved bra sizing. The findings of this study can also contribute to the optimization of sizing systems for other apparel products.

scholarly journals Fish Image Classification by XgBoost Based on Gist and GLCM Features

2021 ◽  
Vol 13 (4) ◽  
pp. 17-23
Author(s):  
Prashengit Dhar ◽  
◽  
Sunanda Guha
Keyword(s):  
Image Classification ◽  
Noise Removal ◽  
Agricultural Field ◽  
Related Area ◽  
Complex Issue ◽  
Physical Shape ◽  
Occurrence Matrix ◽  
Fish Industry ◽  
Selection Of

Classification of fish image is a complex issue in the field of pattern recognition. Fish classification is a complicated task. Physical shape, size, orientation etc. made it complex to classify. Selection of appropriate feature is also a great issue in image classification. Classification of fish image is very important in fishing service and agricultural field, fish industry, survey applications of fisheries and in other related area. For the assessment and counting of fishes, classification of fish image is also necessary as it can save time. This paper presents a fish image classification method with the robust Gist feature and Gray Level Co-occurrence Matrix (GLCM) feature. Noise removal and resizing of image is applied as pre-processing task. Gist and GLCM feature are combined to make a better feature matrix. Features are also tested separately. But combined feature vector performs better than individual. Classification is made on ten types of raw images of fish from two datasets -QUT and F4K dataset. The feature set is trained with different machine learning models. Among them, XgBoost performs with 90.2% and 98.08% accuracy for QUT and F4K dataset respectively.

Use of photodynamic therapy for photodamage skin (review of literature)

2019 ◽  
Vol 1 (7) ◽  
pp. 19-23
Author(s):  
S. I. Surkichin ◽  
N. V. Gryazeva ◽  
L. S. Kholupova ◽  
N. V. Bochkova
Keyword(s):  
Photodynamic Therapy ◽  
Comparative Evaluation ◽  
Clinical Manifestations ◽  
Light Sources ◽  
Review Of Literature ◽  
Photosensitizing Agents ◽  
Selection Of

The article provides an overview of the use of photodynamic therapy for photodamage of the skin. The causes, pathogenesis and clinical manifestations of skin photodamage are considered. The definition, principle of action of photodynamic therapy, including the sources of light used, the classification of photosensitizers and their main characteristics are given. Analyzed studies that show the effectiveness and comparative evaluation in the selection of various light sources and photosensitizing agents for photodynamic therapy in patients with clinical manifestations of photodamage.

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