摘要 :
Target images can be clearly reconstructed from the monostatic and bistatic range profiles generated by a DRN with enough radar sensors. Because the images are instantly formulated, no synthetic aperture processing or motion compe...
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Target images can be clearly reconstructed from the monostatic and bistatic range profiles generated by a DRN with enough radar sensors. Because the images are instantly formulated, no synthetic aperture processing or motion compensation is needed. From the generated image, various target features such as target sizes, speed and scattering center pattern can be extracted for target recognition.
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In order to assess camouflage and the role of movement under widely ranging (lighting, weather, background) conditions simulation techniques are highly useful. However, sufficient level of fidelity of the simulated scenes is requi...
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In order to assess camouflage and the role of movement under widely ranging (lighting, weather, background) conditions simulation techniques are highly useful. However, sufficient level of fidelity of the simulated scenes is required to draw conclusions. Here, live recordings were obtained of moving soldiers and simulations of similar scenes were created. To assess the fidelity of the simulation a search experiment was carried out in which performance of recorded and simulated scenes was compared. Several movies of bushland environments were shown (recorded as well as simulated scenes) and participants were instructed to find the moving target as rapidly as possible within a time limit. In another experiment, visual conspicuity of the targets was measured. For static targets it is well known that the conspicuity (i.e., the maximum distance to detect a target in visual periphery) is a valid measure for camouflage efficiency as it predicts visual search performance. In the present study, we investigate whether conspicuity also predicts search performance for moving targets. In the conspicuity task, participants saw a short (560 ms) part of the movies used for the search experiments. This movie was presented in a loop such that the target moved forward, backward, forward, etcetera. Conspicuity was determined as follows: a participant starts by fixating a location in the scene far away from the target so that he/she is not able to detect it. Next, the participant fixates progressively closer to the target location until the target can just be detected in peripheral vision; at this point the distance to the target is recorded. As with static stimuli, we show that visual conspicuity predicts search performance. This suggests that conspicuity may be used as a means to establish whether simulated scenes show sufficiently fidelity to be used for camouflage assessment (and the effect of motion).
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In order to carry on multi target recognition quickly and effectively, according to the characteristics of SIFT, PCASIFT and SURF algorithm, a method of multi target recognition based on SURF algorithm and OpenCV is studied. The m...
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In order to carry on multi target recognition quickly and effectively, according to the characteristics of SIFT, PCASIFT and SURF algorithm, a method of multi target recognition based on SURF algorithm and OpenCV is studied. The method includes multi angles recognition and multi targets recognition. Firstly, feature points were extracted single target or multiple targets by SURF algorithm, then storing feature of target in the database, Secondly traversal targets database in the process of image registration to recognize the target, Finally, a series of tests are make to evaluate the method. Experimental results show that SURF algorithm has better robustness for characteristics of two-dimensional for rotation, scale changes and occlusion. And the three-dimensional rotation targets and multiple targets are identified quickly and effectively.
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摘要 :
In order to carry on multi target recognition quickly and effectively, according to the characteristics of SIFT, PCASIFT and SURF algorithm, a method of multi target recognition based on SURF algorithm and OpenCV is studied. The m...
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In order to carry on multi target recognition quickly and effectively, according to the characteristics of SIFT, PCASIFT and SURF algorithm, a method of multi target recognition based on SURF algorithm and OpenCV is studied. The method includes multi angles recognition and multi targets recognition. Firstly, feature points were extracted single target or multiple targets by SURF algorithm, then storing feature of target in the database, Secondly traversal targets database in the process of image registration to recognize the target, Finally, a series of tests are make to evaluate the method. Experimental results show that SURF algorithm has better robustness for characteristics of two-dimensional for rotation, scale changes and occlusion. And the three-dimensional rotation targets and multiple targets are identified quickly and effectively.
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摘要 :
In order to carry on multi target recognition quickly and effectively, according to the characteristics of SIFT, PCA-SIFT and SURF algorithm, a method of multi target recognition based on SURF algorithm and OpenCV is studied. The ...
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In order to carry on multi target recognition quickly and effectively, according to the characteristics of SIFT, PCA-SIFT and SURF algorithm, a method of multi target recognition based on SURF algorithm and OpenCV is studied. The method includes multi angles recognition and multi targets recognition. Firstly, feature points were extracted single target or multiple targets by SURF algorithm, then storing feature of target in the database, Secondly traversal targets database in the process of image registration to recognize the target, Finally, a series of tests are make to evaluate the method. Experimental results show that SURF algorithm has better robustness for characteristics of two-dimensional for rotation, scale changes and occlusion. And the three-dimensional rotation targets and multiple targets are identified quickly and effectively.
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The proliferation of mobile augmented reality applications and the toolkits to create them have serious implications for user privacy. In this paper, we explore how malicious AR app developers can leverage capabilities offered by ...
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The proliferation of mobile augmented reality applications and the toolkits to create them have serious implications for user privacy. In this paper, we explore how malicious AR app developers can leverage capabilities offered by commercially available AR libraries, and describe how edge computing can be used to address this privacy problem.
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摘要 :
The proliferation of mobile augmented reality applications and the toolkits to create them have serious implications for user privacy. In this paper, we explore how malicious AR app developers can leverage capabilities offered by ...
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The proliferation of mobile augmented reality applications and the toolkits to create them have serious implications for user privacy. In this paper, we explore how malicious AR app developers can leverage capabilities offered by commercially available AR libraries, and describe how edge computing can be used to address this privacy problem.
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Mobile augmented reality (MAR) is a newly-emerging technology which covers the real scene with virtual information by utilizing the mobile terminal and thus enables users to have a better understanding for and interaction with the...
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Mobile augmented reality (MAR) is a newly-emerging technology which covers the real scene with virtual information by utilizing the mobile terminal and thus enables users to have a better understanding for and interaction with the real environment. The article makes a research on the application of MAR technology in the smart exhibition hall, expounds the technological principles and key technologies of MAR in detail and introduces the Vuforia augmented reality framework. Meanwhile, it also designs and realizes the MAR system of the exhibition hall based on Vuforia, explains the systematic structure, recognition of the creating method of the target library and working process of the system, conducts application experiments on the system and then makes summarizations and analysis on the system effects. Finally, the article discusses the deficiencies on the system and its further work.
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摘要 :
Mobile augmented reality (MAR) is a newly-emerging technology which covers the real scene with virtual information by utilizing the mobile terminal and thus enables users to have a better understanding for and interaction with the...
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Mobile augmented reality (MAR) is a newly-emerging technology which covers the real scene with virtual information by utilizing the mobile terminal and thus enables users to have a better understanding for and interaction with the real environment. The article makes a research on the application of MAR technology in the smart exhibition hall, expounds the technological principles and key technologies of MAR in detail and introduces the Vuforia augmented reality framework. Meanwhile, it also designs and realizes the MAR system of the exhibition hall based on Vuforia, explains the systematic structure, recognition of the creating method of the target library and working process of the system, conducts application experiments on the system and then makes summarizations and analysis on the system effects. Finally, the article discusses the deficiencies on the system and its further work.
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An approximate target recognition method based on the E-Pulse technique is proposed and applied to subsurface target recognition. The proposed method is described in detail with numerical examples using wire scatterers.
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