Yang, J,Blum, R.S.Multi-frame Image Fusion Using the Expectation-Maximization Algorithm. Proc. 8th Inter- national Conference on Information Fusion . 2005J. Yang and R. S. Blum, "Multi-frame image fusion using the expectation-maximization algorithm," in Proc. International Conference on ...
Experiments were carried out using a data set of over 100 subjects and promising results have been obtained: (1) under regular indoor lighting conditions, rank one recognition rate increased from 91% using a single frame to 100% using 7-frame fusion; (2) under strong shadow conditions, rank...
关键词: image enhancement image reconstruction image resolution gray-scale improvement illumination correlation estimation image fusion image fusion algorithm image gray-scale enhancement image resolution improvement image spatial enhancement 会议名称: Proceedings 2003 International Conference on Image Processing (...
MV-DLS1400P supports multi-frame fusion technology easily handles metal surface measurement Measuring Camera No reviews yet Suzhou Caiju Intelligent Technology Co., Ltd.1 yrCN Previous slideNext slide Previous slideNext slideKey attributes Other attributes place of origin Jiangsu, China warranty 1 ...
The three hierarchies conduct per-frame feature encoding, short-clip feature fusion, and whole-sequence feature aggregation, respectively. To enable processing long-sequence point clouds with reasonable computational resources, intra-group feature mixing and inter-group feature attention are proposed to ...
Both PWC-Net and SelFlow use multi-frame fusion to obtain accurate motions, and we compare the multi-frame method with them.par All of the videos are taken by the Jilin-1 video satellite. The spatial resolution is approximately 1 m and the frame rate is 10. We choose the city scenes ...
Currently Fusion can read and extract the camera position data from exr sequences and I "think" Nuke has a workaround. Would be an awesome feature to add. Votes Upvote Translate Translate Report Report Follow Report More Reply Reply balanced_kid...
The networks consist of three modules (Primary, Stn and Fusion net)(Corresponds to SISRNet, RegNet and FusionNet of DeepSum), which performs single image recovery, image/feature registration and multi-frame fusion respectively. The network with refinement net has an additional network very similar ...
Multi-cue Visual Tracking Using Robust Feature-Level Fusion Based on Joint Sparse Representation The use of multiple features for tracking has been proved as an effective approach because limitation of each feature could be compensated. Since different... X Lan,AJ Ma,PC Yuen - Computer Vision &...
[IEEE 2007 10th International Conference on Information Fusion - Quebec City, QC, Canada (2007.07.9-2007.07.12)] 2007 10th International Conference on Info... improved foundation for other versions of the PMHT that build upon or alter the basis of the algorithm, such as the MultiFrame Assignme...