中国科学院机构知识库网格系统: 检索

A Two-Level Rectification Attention Network for Scene Text Recognition 期刊论文 OAI收割
IEEE TRANSACTIONS ON MULTIMEDIA, 2023, 卷号: 25, 页码: 2404-2414
作者: Wu, Lintai; Xu, Yong; Hou, Junhui; Chen, C. L. Philip; Liu, Cheng-Lin

|

收藏 | 浏览/下载：16/0 | 提交时间：2023/11/17

Scene text recognition text rectification spatial transformer network optical character recognition

Seasonal and diurnal variation of PM2.5 HULIS over Xi'an in Northwest China: Optical properties, chemical functional group, and relationship with reactive oxygen species (ROS) 期刊论文 OAI收割
ATMOSPHERIC ENVIRONMENT, 2022, 卷号: 268, 页码: 9
作者: Zhang, Tian; Huang, Shasha; Wang, Diwei; Sun, Jian; Zhang, Qian

|

收藏 | 浏览/下载：80/0 | 提交时间：2021/12/07

HULIS Optical properties Diurnal variation Chemical character Oxidative potential

Emission enhancement of laser-induced breakdown spectroscopy by increasing sample temperature combined with spatial confinement 期刊论文 OAI收割
Journal of Analytical Atomic Spectrometry, 2018, 卷号: 33, 期号: 12, 页码: 2116-2123
作者: Guo, J.; Wang, T. F.; Shao, J. F.; Chen, A. M.; Jin, M. X.

|

收藏 | 浏览/下载：20/0 | 提交时间：2019/09/17

optical-emission expansion dynamics cylindrical confinement magnetic-field plasma improvement spectrometry character discharge air Chemistry Spectroscopy

Principal Component 2-D Long Short-Term Memory for Font Recognition on Single Chinese Characters 期刊论文 OAI收割
ieee transactions on cybernetics, 2016, 卷号: 46, 期号: 3, 页码: 756-765
作者: Tao, Dapeng; Lin, Xu; Jin, Lianwen; Li, Xuelong

收藏 | 浏览/下载：35/0 | 提交时间：2016/03/18

Font recognition long short-term memory neurodynamic models optical character recognition recurrent neural networks (RNNs)

Push-Pull Type Oligo(N-annulated perylene)quinodimethanes: Chain Length and Solvent-Dependent Ground States and Physical Properties 会议论文 OAI收割
作者: Zeng, Zebing; Lee, Sangsu; Son, Minjung; Fukuda, Kotaro; Mayorga Burrezo, Paula

|

收藏 | 浏览/下载：18/0 | 提交时间：2021/12/02

NONLINEAR-OPTICAL PROPERTIES EXTENDED P-QUINODIMETHANES OPEN-SHELL 2ND HYPERPOLARIZABILITIES QUINOIDAL OLIGOTHIOPHENES DIRADICAL CHARACTER BIRADICAL CHARACTERS 2-PHOTON ABSORPTION ELECTRON-ACCEPTORS CLOSED-SHELL

基于多模态关联分析的新闻视频标注与检索 学位论文 OAI收割
工学博士, 中国科学院自动化研究所: 中国科学院大学, 2012
作者: 张师林

收藏 | 浏览/下载：100/0 | 提交时间：2015/09/02

跨媒体关联分析视频检索关键帧视觉词袋模型语音识别文字识别多模态融合图模型命名实体 cross media association analysis video retrieval key frame bag of words model speech recognition optical character recognition multi-modal information fusion graph model name entity

The new approach for infrared target tracking based on the particle filter algorithm (EI CONFERENCE) 会议论文 OAI收割
International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Infrared Imaging and Applications, May 24, 2011 - May 24, 2011, Beijing, China
作者: Sun H.; Han H.-X.; Sun H.

收藏 | 浏览/下载：59/0 | 提交时间：2013/03/25

Target tracking on the complex background in the infrared image sequence is hot research field. It provides the important basis in some fields such as video monitoring precision and video compression human-computer interaction. As a typical algorithms in the target tracking framework based on filtering and data connection the particle filter with non-parameter estimation characteristic have ability to deal with nonlinear and non-Gaussian problems so it were widely used. There are various forms of density in the particle filter algorithm to make it valid when target occlusion occurred or recover tracking back from failure in track procedure but in order to capture the change of the state space it need a certain amount of particles to ensure samples is enough and this number will increase in accompany with dimension and increase exponentially this led to the increased amount of calculation is presented. In this paper particle filter algorithm and the Mean shift will be combined. Aiming at deficiencies of the classic mean shift Tracking algorithm easily trapped into local minima and Unable to get global optimal under the complex background. From these two perspectives that "adaptive multiple information fusion" and "with particle filter framework combining" we expand the classic Mean Shift tracking framework.Based on the previous perspective we proposed an improved Mean Shift infrared target tracking algorithm based on multiple information fusion. In the analysis of the infrared characteristics of target basis Algorithm firstly extracted target gray and edge character and Proposed to guide the above two characteristics by the moving of the target information thus we can get new sports guide grayscale characteristics and motion guide border feature. Then proposes a new adaptive fusion mechanism used these two new information adaptive to integrate into the Mean Shift tracking framework. Finally we designed a kind of automatic target model updating strategy to further improve tracking performance. Experimental results show that this algorithm can compensate shortcoming of the particle filter has too much computation and can effectively overcome the fault that mean shift is easy to fall into local extreme value instead of global maximum value.Last because of the gray and fusion target motion information this approach also inhibit interference from the background ultimately improve the stability and the real-time of the target track. 2011 Copyright Society of Photo-Optical Instrumentation Engineers (SPIE).

The optical properties of Dy3+-doped NaY(MoO4)(2) crystal 期刊论文 OAI收割
Journal of Luminescence, 2007, 卷号: 126, 期号: 1, 页码: 63-67
X. A. Lu; Z. Y. You; H. F. Li; Z. J. Zhu; G. H. Jia; B. C. Wu; C. Y. Tu

收藏 | 浏览/下载：13/0 | 提交时间：2013/04/01

optical material the Judd-Ofelt theory spectroscopic character rare-earth ions branching ratios energy-levels laser glasses tm3

On the development of special positive isotactic polypropylene spherulites 期刊论文 OAI收割
JOURNAL OF POLYMER SCIENCE PART B-POLYMER PHYSICS, 2006, 卷号: 44, 期号: 7, 页码: 1114-1121
作者: Li, HH; Sun, XL; Wang, JJ; Yan, SK; Schultz, JM

|

收藏 | 浏览/下载：11/0 | 提交时间：2019/04/09

Optical Character Polypropylene Spherulite Structure

A new method for number recognition based on feature extract (EI CONFERENCE) 会议论文 OAI收割
ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China
Zhou H.; Li G.; Xiao C.; Hao Z.

收藏 | 浏览/下载：22/0 | 提交时间：2013/03/25

In this paper the authors put forward a new method for print number recognition when we research on the OCR (Optical Character Recognition). It's different from the traditional method such as NN (Neural Networks) recognition or model matching. By this method the number waiting for recognizing was treated as the fingerprint lines then defined and extracted the features about the number for recognition. At end of the paper an experiment result is given.