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Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
自动化研究所 [2]
长春光学精密机械与物... [1]
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OAI收割 [3]
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期刊论文 [2]
会议论文 [1]
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2019 [1]
2018 [1]
2010 [1]
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Real-time human segmentation by BowtieNet and a SLAM-based human AR system
期刊论文
OAI收割
Virtual Reality & Intelligent Hardware, 2019, 卷号: 1, 期号: 5, 页码: 511—524
作者:
Zhao,Xiaomei
;
Tang,Fulin
;
Wu,Yihong
  |  
收藏
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浏览/下载:31/0
  |  
提交时间:2020/05/07
Augmented Reality
Moving Object
Human Segmentation
Reconstruction And Tracking
Camera Pose
Human segmentation
Robust and Efficient CPU-based RGB-D Scene Reconstruction
期刊论文
OAI收割
Sensors, 2018, 卷号: 18, 期号: 11, 页码: 3652-3667
作者:
Li JW(李建伟)
;
Gao W(高伟)
;
Tang FL(唐付林)
;
Wu YH(吴毅红)
;
Li HP(李和平)
  |  
收藏
  |  
浏览/下载:36/0
  |  
提交时间:2019/04/22
3d Reconstruction
Camera Tracking
Volumetric Integration
Simultaneous Localization And Mapping (Slam)}
Adaptive resolution storage system based on LOG-POLAR transform for multi-target trackers (EI CONFERENCE)
会议论文
OAI收割
2010 International Conference on Computer Application and System Modeling, ICCASM 2010, October 22, 2010 - October 24, 2010, Shanxi, Taiyuan, China
作者:
Zhang Y.
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浏览/下载:22/0
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提交时间:2013/03/25
The main constrained problem of the video monitoring and storage system is the contradiction between large field of view and storage space limitations. Not all of the video information introduced by the image sensors need to be recorded especially for some tracking system which has appointed functions to track specifically kinds of targets. For instance
the system not only works for single target
if the monitor is appointed for human face tracking
but also can work for multi-targets. High reconstruction resolution in the fovea region enables the successive application of recognition modules without sacrificing their performance
the best system appears to be concentrating on human face only and all the others considered being background
the low reconstruction resolution in the periphery helps to reduce the video data. 2010 IEEE.
the background regions needn't to be recorded in detail. For this purpose
this letter presents a real-time foveate storage system
which efficiently represents the video image in log-polar coordinates
with the foveate point centered on the target