[PDF] Top 20 Neural Network Based 3D Surface Reconstruction

... image reconstruction approach which considers both diffuse and specular components of the reflectance model simultaneously has been ...Two neural networks with symmetric structures were used to estimate ... See full document

... In the Czech Republic the Digital Terrain Model of the Czech Republic of the 4th or 5th generation (DMR4G or DMR5G) can be used. This terrain model is provided by the Czech Office for Surveying, Mapping and Cadastre. DMR ... See full document

... may be direct or indirect such as enhanced barrier function, modulation of the mucosal immune system, production of antimicrobial agents, enhancement of digestion and absorption of food and alteration of the intestinal ... See full document

... The first experiment takes place into a rectangular arena with a white surface bounded by a black ribbon. The arena has several containers that can be on moving. Each container has a particular colour. The ... See full document

... of surface crusts on water infiltration and redistribution, and found that sand columns could significantly increase the amount of moisture stored in the soil and reduce the amount of ... See full document

... the surface model and artifacts in the aspect ...in 3D space that is given on the one hand as horizontal alignment or aspect for façades and on the other hand as vertical alignment or slope for ... See full document

... or acute-on-chronic hepatitis B liver failure [27,28]. Due to the three main advantages of ANN, namely self-learning, self-adapting and inference process, the ANN model has been demonstrated to perform better than ... See full document

... predict 3D ground reaction force signals based on accelerometer data during gait, using a feed-forward neural network ...a 3D accelerometer attached to the distal and anterior part of ... See full document

... knowledge based modelling can be established to reconstruct the building façade using both geometric and semantic ...2011) based on a new dynamic selection strategy and K-means clustering to identify the ... See full document

... Computer Vision is a field that has tremendous value in tumor detection. However, tradi- tional methods in liver segmentation have not achieved the same accuracy when compared to other modalities. This is due to liver ... See full document

... fuzzy neural network ...estimation. Neural network was applied to predict the wear during hard turning of AISI H-13 steel and the proposed model provided better prediction capabilities (Tugrul ... See full document

... Implementation of Neural Network: Neural networks have proved to be very efficient in the field of classification. In this paper, back propagation algorithm is used for classifying inrush and ... See full document

... algorithms or properties of the investigated dataset. The first two indicators are global, giving a confidence measure over the whole inferred dataset and are based on a measure of distance between networks. In ... See full document

... Sea Surface Temperatures Neogene In Ceara Rise (South Atlantic ) Based On Alkenones " presented at PADCT room of the Institute of Chemistry ( IQ ) of the University of Brasilia ( UnB ) on March 5, 2015 ... See full document

... Genetic Algorithm (GA) is a population-based stochastic search procedure to find exact or approximate solutions to optimization and search problems. Modeled on the mechanisms of evolution and natural genetics, ... See full document

... in neural network system is a crucial task for prediction of wind ...a neural network system may give best solution within a reasonable time ...of neural network based ... See full document

... The proposed system, contribute to the minimization of the risks of software development. Assisted in the analysis of the main impact factors of risk based on the standards of quality of service (its realization ... See full document

... A new two-step method to construct fuzzy numbers using observations is proposed. Then an existing fuzzy neural network is modified to account for fuzzy number inputs and also uses possibility-theory ... See full document

... In the movement evaluation of workers, an inertial system would be useful to track the move- ments during the different tasks, since it is a portable system that can follow all the worker’s movements. In gaming, an ... See full document

... developed based on Multi Layer Perceptron (MLP) neural network models since ...MPC based on a neural network model is an accurate nonlinear model and an efficient optimization ... See full document