image fusionoptical radarstereo image processingimage texturefeature extractionconvolutionmultiscale features fusion schemesparse convolution operationsparse depth dataRecently deep learning-based methods for dense depth completion from sparse depth data have shown superior performance than traditional techniques. ...
Signal Processing Image CommunicationM Zhao, "A novel image retrieval method based on multi-trend structure descriptor", Journal of Visual Communication and Image Representation, vol.38, pp 73-81, Jul, 2016.A novel image retrieval method based on multi-trend structure descriptor". M Zhao. ...
Decision fusion on the other hand has difficulties with modeling correlations between the different data sources. In this paper, we propose a graph-based fusion method, where the high-dimensional features is projected on a lower dimen- sional feature space. This projection is learned based on a...
- 《Journal of Information Processing》 被引量: 1发表: 2016年 A semi-supervised image retrieval algorithm based on feature fusion of the region of interest A method of image retrieval based on the feature fusion of region of interest was proposed to realize the semantic correlation of images ...
Due to incompatible biometric characteristics such as unmatched image patterns, improper feature registration and feature space representation, image scaling and unfeasible fusion schemes often degrades the performance of multibiometric systems. This paper focuses on the benefits of feature level and match ...
Crack detection using fusion features-based broad learning system and image processing 来自 EBSCO 喜欢 0 阅读量: 153 作者:Y Zhang,KV Yuen 摘要: Deep learning has been widely applied to vision‐based structural damage detection, but its computational demand is high. To avoid this computational ...
Selective Kernel Feature Fusion (SKFF) Residual Contextual Block (RCB) Installation SeeINSTALL.mdfor the installation of dependencies required to run MIRNet_v2. Demo To test the pre-trained MIRNet_v2 models of Real Denoising, Dual-Pixel Defocus Deblurring, Super-Resolution, and Image Enhancement on...
Multi-focus image fusion is a process of fusing multiple images of different focus areas into a total focus image, which has important application value. In view of the defects of the current fusion method in the detail information retention effect of th
Hierarchical Convolutional Features Fusion for Visual Tracking Hierarchical convolutional features have different impact on the tracking performance, as the higher convolutional layers encode the semantic information of targets and earlier convolutional layers are more precise to localize targets. I... F Zhan...
Ensemble classification of integrated CT scan datasets in detecting COVID-19 using feature fusion from contourlet transform and CNN ArticleOpen access16 November 2023 COVID-19 image classification using deep features and fractional-order marine predators algorithm ...