机构

• 长春光学精密机械与物... [2]
• 金属研究所 [1]
• 西安光学精密机械研究... [1]

采集方式

• OAI收割 [4]

内容类型

• 会议论文 [2]
• 期刊论文 [2]

发表日期

• 2021 [1]
• 2009 [1]
• 2006 [1]
• 2000 [1]

学科主题

筛选

浏览/检索结果: 共4条，第1-4条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 Bio-Inspired Representation Learning for Visual Attention Prediction 期刊论文  OAI收割 IEEE TRANSACTIONS ON CYBERNETICS, 2021, 卷号: 51, 期号: 7, 页码: 3562-3575 作者:  Yuan, Yuan;  Ning, Hailong;  Lu, Xiaoqiang   |  收藏  |  浏览/下载：106/0  |  提交时间：2021/07/12 Bio-inspired  center-bias prior  contrast features  densely connected  reduction-attention  semantic features  visual attention prediction (VAP)   Detection of low contrast targets based on lifting scheme wavelet transform (EI CONFERENCE) 会议论文  OAI收割 2009 IEEE International Conference on Mechatronics and Automation, ICMA 2009, August 9, 2009 - August 12, 2009, Changchun, China 作者:  Chen X.;  Wang Y.;  Wang Y.;  Wang Y.;  Wang Y. 收藏  |  浏览/下载：16/0  |  提交时间：2013/03/25 This paper present a fast algorithm for detection of low contrast objects by using wavelet filters based on lifting scheme. The advantage is robust to noise. According Swelden's  lifting wavelet filters are biorthogonal wavelet filters containing free parameters. We use reference image of targets to train the lifting terms  so that the learnt wavelet filters have the features of targets. Then applying such filters to the images including targets taken from camera system. We can detect the locations where the high frequency components are almost the same as those of the target image. 2009 IEEE.   Detection and tracking of low contrast targets based on integertype lifting wavelet transform (EI CONFERENCE) 会议论文  OAI收割 ICO20: Remote Sensing and Infrared Devices and Systems, August 21, 2005 - August 26, 2005, Changchun, China 作者:  Wang L.;  Wang L.;  Wang Y.;  Wang Y.;  Wang Y. 收藏  |  浏览/下载：18/0  |  提交时间：2013/03/25 This paper presents a method for detecting and tracking of low contrast targets. The new method uses an integer-type lifting wavelet transform and the proposed method doesn't extract patterns similar to a template  but finds parts having the same feature in the targets. We utilize one of integer-type lifting wavelet transforms that contains rounding-off arithmetic for mapping integers to integers. The lifting term contains parameters that are learned by using standard training images of targets. We assume that the targets include many high frequency components. In order to obtain the features of the targets  the lifting parameters are determined by a condition that high frequency components are vanished in wavelet transform. But the condition cannot be determined by the parameters wholly. So  we put an additional condition of minimizing the squared sum of the lifting parameters. The advantage of using integer-type wavelet transform is simple and robust to noise. Simulation illustrated the approach can detect and track the moving targets in dim background. We would test our algorithm in the TV tracking system.   Deformation bands in cyclically deformed copper single crystals 期刊论文  OAI收割 Philosophical Magazine a-Physics of Condensed Matter Structure Defects and Mechanical Properties, 2000, 卷号: 80, 期号: 8, 页码: 1901-1912 X. W. Li; Z. G. Wang; S. X. Li 收藏  |  浏览/下载：28/0  |  提交时间：2012/04/14 electron channeling contrast  double slip orientation  stereographic  triangle  fatigue damage  behavior  surface  features  side