中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
长春光学精密机械与物... [1]
上海神经科学研究所 [1]
昆明动物研究所 [1]
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OAI收割 [3]
内容类型
期刊论文 [2]
会议论文 [1]
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2016 [1]
2012 [1]
2010 [1]
学科主题
Computatio... [1]
Systems [1]
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Differential Visual Processing of Animal Images, with and without Conscious Awareness
期刊论文
OAI收割
FRONTIERS IN HUMAN NEUROSCIENCE, 2016, 卷号: 10, 期号: X, 页码: e513
作者:
Zhu WN[*]
;
Drewes J
;
Peatfield NA
;
Melcher D
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  |  
浏览/下载:40/0
  |  
提交时间:2016/10/31
ERPs (event-related potentials)
animal detection
awareness
continous flash suppression (CFS)
natural scenes
Modification of Visual Cortical Receptive Field Induced by Natural Stimuli
期刊论文
OAI收割
Cerebral Cortex, 2012, 期号: Epub ahead of print
Zhu,Yingjie
;
Yao,Haishan
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浏览/下载:23/0
  |  
提交时间:2013/02/26
Natural scenes
NMDA receptors
Plasticity
Primary visual
Scene matching based on directional keylines and polar transform (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.
;
Wang Y.
;
Wang Y.
;
Wang Y.
;
Wang Y.
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浏览/下载:21/0
  |  
提交时间:2013/03/25
Scene matching under complex background is a priority and difficulty in the field of computer vision
it has the characteristics of rotation and scaling invariance
commonly used in matching real-time collected images and photos for navigation. Scene matching techniques are faced with complex natural scenes
anti-light and anti-slight-distortion
the image distortion exist
applicable for complex scene matching. The project has a new idea: combining the keylines with the vectors description based on polar image translation
such as light
and utilize the rotation-scale-invariance vectors to describe the extracted keylines
change of gray levels
this method includes three steps: keylines extraction
perspective
description and matching. Preliminary experiments show that this keylines-based scene matching algorithm is applicable for image matching under complex background. 2010 IEEE.
scaling and other differences
which cause matching difficult. This paper aims to find a scene matching algorithm