Real-time synthetic image generator for quantifying the performance of infrared imagers

1995 ◽  
Author(s):  
Nicholas J. Arnold ◽  
Glen Wade
Keyword(s):  
Real Time ◽  
Synthetic Image ◽  
Image Generator

Improved IR image generator for real-time scene simulation

1991 ◽  
Author(s):  
Catherine E. Keller ◽  
Anthony J. Stenger ◽  
Uri Bernstein
Keyword(s):  
Real Time ◽  
Scene Simulation ◽  
Image Generator

scholarly journals A real-time photogrammetric algorithm for sensor and synthetic image fusion with application to aviation combined vision

2014 ◽  
Vol XL-3 ◽  
pp. 171-175 ◽  
Author(s):  
M. A. Lebedev ◽  
D. G. Stepaniants ◽  
D. V. Komarov ◽  
O. V. Vygolov ◽  
Yu. V. Vizilter ◽  
...  
Keyword(s):  
Image Fusion ◽  
Real Time ◽  
Situation Awareness ◽  
Time Algorithm ◽  
Synthetic Image ◽  
Virtual Camera ◽  
Aircraft Landing ◽  
Glide Path ◽  
Synthetic Images ◽  
Navigation Errors

The paper addresses a promising visualization concept related to combination of sensor and synthetic images in order to enhance situation awareness of a pilot during an aircraft landing. A real-time algorithm for a fusion of a sensor image, acquired by an onboard camera, and a synthetic 3D image of the external view, generated in an onboard computer, is proposed. The pixel correspondence between the sensor and the synthetic images is obtained by an exterior orientation of a "virtual" camera using runway points as a geospatial reference. The runway points are detected by the Projective Hough Transform, which idea is to project the edge map onto a horizontal plane in the object space (the runway plane) and then to calculate intensity projections of edge pixels on different directions of intensity gradient. The performed experiments on simulated images show that on a base glide path the algorithm provides image fusion with pixel accuracy, even in the case of significant navigation errors.

PSIG-GAN: A Parameterized Synthetic Image Generator Optimized via Non-Differentiable GAN

2019 ◽  
Author(s):  
Hussain Khajanchi ◽  
Jake Bezold ◽  
Matthew Kilcher ◽  
Alexander Benasutti ◽  
Brian Rentsch ◽  
...  
Keyword(s):  
Synthetic Image ◽  
Image Generator

scholarly journals Fashion Style Generator

2017 ◽  
Author(s):  
Shuhui Jiang ◽  
Yun Fu
Keyword(s):  
Neural Network ◽  
Artificial Intelligence ◽  
Global Optimization ◽  
Real Time ◽  
Synthetic Image ◽  
Feed Forward Neural Network ◽  
Style Transfer ◽  
Artistic Style ◽  
The Arts ◽  
Optimization Stage

In this paper, we focus on a new problem: applying artificial intelligence to automatically generate fashion style images. Given a basic clothing image and a fashion style image (e.g., leopard print), we generate a clothing image with the certain style in real time with a neural fashion style generator. Fashion style generation is related to recent artistic style transfer works, but has its own challenges. The synthetic image should preserve the similar design as the basic clothing, and meanwhile blend the new style pattern on the clothing. Neither existing global nor patch based neural style transfer methods could well solve these challenges. In this paper, we propose an end-to-end feed-forward neural network which consists of a fashion style generator and a discriminator. The global and patch based style and content losses calculated by the discriminator alternatively back-propagate the generator network and optimize it. The global optimization stage preserves the clothing form and design and the local optimization stage preserves the detailed style pattern. Extensive experiments show that our method outperforms the state-of-the-arts.

Some Recent Results in Quiescent Prominence Spectrometry

1979 ◽  
Vol 44 ◽  
pp. 41-47
Author(s):  
Donald A. Landman
Keyword(s):  
Real Time ◽  
Computer System ◽  
Spectral Response ◽  
Absolute Intensity ◽  
Solar Observatory ◽  
Target Size ◽  
Small Target ◽  
Signal Averaging ◽  
Quiescent Prominence

This paper describes some recent results of our quiescent prominence spectrometry program at the Mees Solar Observatory on Haleakala. The observations were made with the 25 cm coronagraph/coudé spectrograph system using a silicon vidicon detector. This detector consists of 500 contiguous channels covering approximately 6 or 80 Å, depending on the grating used. The instrument is interfaced to the Observatory’s PDP 11/45 computer system, and has the important advantages of wide spectral response, linearity and signal-averaging with real-time display. Its principal drawback is the relatively small target size. For the present work, the aperture was about 3″ × 5″. Absolute intensity calibrations were made by measuring quiet regions near sun center.

Video real-time imaging of artificial membranes during freeze-drying by cryo-electron microscopy

1988 ◽  
Vol 46 ◽  
pp. 16-17
Author(s):  
Alan S. Rudolph ◽  
Ronald R. Price
Keyword(s):  
Real Time ◽  
Self Assembly ◽  
Freeze Drying ◽  
Video Capture ◽  
Drying Process ◽  
Artificial Membranes ◽  
The Past ◽  
Cryo Electron Microscopy ◽  
Spherical Structures ◽  
Capture Techniques

We have employed cryoelectron microscopy to visualize events that occur during the freeze-drying of artificial membranes by employing real time video capture techniques. Artificial membranes or liposomes which are spherical structures within internal aqueous space are stabilized by water which provides the driving force for spontaneous self-assembly of these structures. Previous assays of damage to these structures which are induced by freeze drying reveal that the two principal deleterious events that occur are 1) fusion of liposomes and 2) leakage of contents trapped within the liposome [1]. In the past the only way to access these events was to examine the liposomes following the dehydration event. This technique allows the event to be monitored in real time as the liposomes destabilize and as water is sublimed at cryo temperatures in the vacuum of the microscope. The method by which liposomes are compromised by freeze-drying are largely unknown. This technique has shown that cryo-protectants such as glycerol and carbohydrates are able to maintain liposomal structure throughout the drying process.

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