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The paper is devoted to modeling of single-layer garments as developable median surfaces, modeled in the form of a thin supple shell. The products are modeled in Maple 9.5 and Embarcadero RAD Studio. The modelling of conical skirts considering seams is performed to demonstrate the space form of garments in the gravity field of elastic materials. Also the product aeroman is modelled which brings the...
We are currently developing a bio-shape similarity system for supplying high-throughput protein shape similarity applications within massive datasets. The proposed system is powered by a global-to-local shape similarity system which exploits shape elevation and local convexity attributes. In the first step, a global similarity is computed between the shape descriptors associated to each protein input...
There has been significant work on learning realistic, articulated, 3D models of the human body. In contrast, there are few such models of animals, despite many applications. The main challenge is that animals are much less cooperative than humans. The best human body models are learned from thousands of 3D scans of people in specific poses, which is infeasible with live animals. Consequently, we...
This paper discusses the method for shirt version intelligent recommendation through combining human body data analysis and apparel loose quantity setting analysis. Firstly, we get the weight of each factor by Analytic Hierarchy Process (AHP) and realize the recommendation of the best shirt shape through the garment size. Then by using the Back Propagation(BP) neural network, we input net body size...
Generative Adversarial Networks (GANs) have been shown to produce synthetic face images of compelling realism. In this work, we present a conditional GAN approach to generate contextually valid facial expressions in dyadic human interactions. In contrast to previous work employing conditions related to facial attributes of generated identities, we focused on dyads in an attempt to model the relationship...
Mobile sensors deployment over a target area is an important problem for autonomous operations in applications such as surveillance and environmental monitoring. The problem of optimal deployment of heterogeneous anisotropic field sensor network, having different sensing range, is addressed in this paper. A sensor coverage model for a planar field sensor is developed through introducing a performance...
Several major advances in Cell and Molecular Biology have been made possible by recent advances in live-cell microscopy imaging. To support these efforts, automated image analysis methods such as cell segmentation and tracking during a time-series analysis are needed. To this aim, one important step is the validation of such image processing methods. Ideally, the “ground truth” should be known, which...
We present a technique for semi-automatically super-deforming 3D character models. Super deformation is a unique style of exaggeration, often seen in Japanese animation and manga, to enhance characters' cute appearances. Specifically, super-deformed (SD) characters are chubby with stubby limbs and oversized heads. Given a reference SD model with a rig and a target character model, our method automatically...
This paper proposes a method for measuring human body movement similarity by considering human body motion as a set of 3-dimensional curves representing the changes of direction. This analysis method is used for obtaining similarity values of the body movement of various subjects. Firstly, the performing speed of movements are compared and adjusted. Next, two types of normalized methods, which are...
A real-time demand response system can be viewed as a cyber-physical system, with physical systems dependent on cyber infrastructure for coordination and control, which may be vulnerable to cyber-attacks. The time domain dynamic behaviour of individual residential demand responses is governed by a mix of physical system parameters, exogenous influences, user behaviour and preferences, which can be...
Statistical craniofacial reconstruction methods have become an important research aspect in computer-aided craniofacial reconstruction. The existing joint statistical craniofacial reconstruction method based on PCA modeling is not scientific in terms of forensic anthropology, and its description ability for the shape correlation of skull and face is inadequate. So, partial least squares regression...
The rapid growth of 3D model resources for 3D printing has created an urgent need for 3D model retrieval systems. Benefiting from the evolution of hardware devices, visualized 3D models can be easily rendered using a tablet computer or handheld mobile device. In this paper, we present a novel 3D model retrieval method involving view-based features and deep learning. Because 2D images are highly distinguishable,...
Automated cell detection is a critical step for a number of computer-assisted pathology related image analysis algorithm. However, automated cell detection is complicated due to the variable cytomorphological and histological factors associated with each cell. In order to efficiently resolve the challenge of automated cell detection, deep learning strategies are widely applied and have recently been...
The development of algorithms and models to be used for prediction of the reliability and health monitoring of components and sensors is of great importance in aerospace, automotive and power generation industry. For this purpose metamodels have been developed that are based on physical simulations and that are able to quantify the impact of uncertainties on system behavior. These surrogate metamodels...
Assumption of normally distributed residuals is one of the big challenges in the generalized linear models (GLM). Recently, generalized Gaussian distribution (GGD) is used widely to analyze and model heavy-tail signals. Consequently, investigations for robust estimation of regression coefficients have led us to introduce GG-GLM, which models the GLM residuals using GGD. This model can deal with broad...
In present analyses of the architectural constructions, the important place belongs to algorithmic determination of their shapes in masonry structures cross-vaults, which often require expensive restoration. Particularly interesting is the way these buildings lighting by daylight. Daylight, besides the aesthetic and visual effect, has an important role in minimizing the consumption of energy. For...
Tree architecture plasticity enables individuals to maximize filling of the available space and minimize the competition effect; tree crowns can be distributed more regularly than stem bases. We conducted a study in a temperate mixed forest (Krakow, Poland) to test the idea of a new angular competition index (CI) and its application in modeling crown radii (CR) and crown projections (CPs) of 30 Quercus...
We represent human body shape estimation from binary silhouettes or shaded images as a regression problem, and describe a novel method to tackle it using CNNs. Utilizing a parametric body model, we train CNNs to learn a global mapping from the input to shape parameters used to reconstruct the shapes of people, in neutral poses, with the application of garment fitting in mind. This results in an accurate,...
In this paper, we address the problem of temporal alignment of surfaces for subjects dressed in wide clothing, as acquired by calibrated multi-camera systems. Most existing methods solve the alignment by fitting a single surface template to each instant's 3D observations, relying on a dense point-to-point correspondence scheme, e.g. by matching individual surface points based on local geometric features...
Parameters of human tissues are subject of a wide variability, where different sources of the uncertainty should be considered. The complexity is far beyond measurements errors, which are typical for technical applications. The paper discusses applicability of the random variable algebra in the numerical modeling of such strongly uncertain objects. Basic operations (sum, product and ratio) on random...
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