Binocular Vision Enhances Target Detection by Filtering the Background

Perception ◽  
1994 ◽  
Vol 23 (11) ◽  
pp. 1267-1286 ◽  
Author(s):  
Bruce Schneider ◽  
Giampaolo Moraglia

In previous studies the authors have shown that the enhanced detectability exhibited by stereoscopically viewed targets can be accounted for by assuming that the binocular system can linearly summate the left-eye and right-eye views of a visual scene. A model based upon this assumption leads to a variety of predictions concerning the detectability of noise-embedded targets. One such prediction is that the detectability of a target in these conditions is highly orientation specific. A test is reported of such a prediction that can be regarded as counterintuitive: namely, that the detectability, under stereoscopic viewing conditions, of a patch of sinusoidal grating masked by Gaussian noise should change substantially when the grating, oriented at 45°, is rotated until its orientation becomes −45°. The implications of these results for an understanding of the phenomenon of camouflage breaking are discussed.

2016 ◽  
Vol 36 (3) ◽  
pp. 0315001
Author(s):  
张强 Zhang Qiang ◽  
董玉 Dong Yu ◽  
李海滨 Li Haibin ◽  
李雅倩 Li Yaqian ◽  
张文明 Zhang Wenming

2013 ◽  
Vol 4 (9) ◽  
pp. 843-852 ◽  
Author(s):  
Mitsunobu Sugimoto ◽  
Kazuo Ouchi ◽  
Yasuhiro Nakamura

2018 ◽  
Vol 246 ◽  
pp. 03021
Author(s):  
Wei Daozhi ◽  
Huang Da ◽  
Huang Shucai

Several modern local high-tech wars have shown that the development of war is determined by the precise strike weapons at both ends of attack and defense. In this paper, the urgent requirement of defense ballistic missile target is taken as traction, and the heterogeneous multi-sensor cross-prompt technology is used as support to study the heterogeneous multi-sensor cross-prompt and its application in target detection. On the basis of fully studying the basic theory of heterogeneous multi-sensor cross-prompting, a cross-prompting network structure model based on typical anti-missile combat mission driving and a data fusion model based on asynchronous information are established, and a multi-sensor cross-prompting method based on fuzzy decision is designed. The model and method proposed in this paper are applied to target detection and tracking, and the model and method involved in this paper are verified by simulation.


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