Frequency-domain fusionSurface reconstructionBy using depth from focus (DFF) alone to obtain the 3D wear area reconstruction of grinding wheel, the depth values in the 3D wear area image are not continuous while by using shape from shading (SFS) alone, the 3D wear area cannot be fully ...
Spatial-frequency dual-domain feature fusion network(SDFFN)是一种特殊的神经网络架构,它结合了空间域和频率域的特征进行信息融合。这种网络设计旨在通过同时利用图像的空间信息和频率信息来提高图像处理的性能。在低光照条件下,SDFFN能够更有效地提取和融合图像特征,从而改善图像质量。 阐述该网络在特征融合方面的工作...
Solving Method To calculate MST on the cell surface, the governing quasi-electrostatic equation in the presence of a cell was first solved. In previous studies, the existence of the cell has been mostly ignored in the computational domain and the cell is replaced by equivalent multipoles. In t...
Generative adversarial network Limited datasets Dual-way model Frequency domain 1. Introduction Generative adversarial networks (GANs) are used in art creation [[1], [2], [3], [4], [5], [6]], object detection [[7], [8], [9], [10], [11], [12]], style transfer [[13], [14...
摘要: We proposed a deep model that captures the spatiotemporal dependence of time series.We transform the time series classification task into an image classification task.Our method can classify time series from both time and frequency-domain perspectives....
Additionally, we were not able to calculate NIH response for improvement in mouth, because data needed to calculate response criteria for this domain is not derived from NIH organ scores collected, which have led to a decreased proportion of responders. One factor that may be overweighted in the...
The mutual fusion of the two can better model the interrelationship between HSI and RGB image, thereby achieving better SSR performance. In FSDFF, we design a frequency domain feature learning branch (FDFL) and a spatial domain feature learning branch (SDFL) to learn the frequency and spatial ...
Image fusionDual optical pathIn this paper, we propose a novel molten image enhancement and fusion method based on image decomposition in frequency domain. The algorithm combines the guided filter to maintain the original edge and details and to make it show a more permeable visual effect. ...
Meantime, as the primary modeling method for time series forecasting, frequency-domain analysis is underutilized in the flight trajectory prediction task. In this work, an innovative wavelet transform-based framework is proposed to perform time-frequency analysis of flight patterns to support trajectory...
A TRFC estimation method based on frequency domain data fusion under the conditions with small acceleration is presented in this paper. For implementing the method, firstly, the impact of the lateral road friction on the natural frequency of the steering system should be found. A simplified motor...