机构

• 长春光学精密机械与物... [2]
• 心理研究所 [1]

采集方式

• OAI收割 [3]

内容类型

• 会议论文 [2]
• 期刊论文 [1]

发表日期

• 2011 [1]
• 2010 [1]
• 2009 [1]

学科主题

• Perception... [1]

筛选

浏览/检索结果: 共3条，第1-3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 Describing spatial locations from perception and memory: The influence of intrinsic axes on reference object selection 期刊论文  OAI收割 JOURNAL OF MEMORY AND LANGUAGE, 2011, 卷号: 65, 期号: 2, 页码: 222-236 作者:  Li, Xiaoou;  Carlson, Laura A.;  Mou, Weimin;  Williams, Mark R.;  Miller, Jared E. 收藏  |  浏览/下载：18/0  |  提交时间：2015/06/24 Intrinsic axes  Reference frames  Reference objects  Spatial features  Spatial descriptions   Restoration of an atmospherically blurred image based on physical model fusion approach (EI CONFERENCE) 会议论文  OAI收割 2010 IEEE 10th International Conference on Signal Processing, ICSP2010, October 24, 2010 - October 28, 2010, Beijing, China 作者:  Wang Y.;  Li J.;  Li J.;  Li J.;  Wang Y. 收藏  |  浏览/下载：26/0  |  提交时间：2013/03/25 This paper proposes a new restoration method  only using the single image information  combining atmospheric physical model with fusion techniques to reduce the degradation of the image contrast in bad weather conditions caused by atmospheric aerosols  such as haze and fog. The basic idea of this method is to utilize physics-based model method instead of multisensors to generate a serial of virtual images  and then to fuse those virtual images into a high contrast image based on the wavelet fusion technique. In contrast to previous methods  our restoration technique is not only independent on predicted structure  distributions of scene reflectance  or detailed knowledge about the particular weather condition  but also adapt to the situation without a reference image or images with moving objects captured by a video camera. Experiments on different poorcontrast images demonstrate the availability of the proposed method in case of restoring the atmospherically blurred images. 2010 IEEE.   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.