Conference Paper

Image Pickup And Display Devices

September 1975
Proceedings of SPIE - The International Society for Optical Engineering

Conference: Disneyland

Authors:

Most training devices require a visual system to present an out-the-window scene to the trainee. This session is devoted to two important subsystems of a visual system. These are: 1) Image pickup of model terrain and airfield by a servoed optical probe and camera assembly. 2) Display of visual image to the trainee.

ResearchGate has not been able to resolve any citations for this publication.

ResearchGate has not been able to resolve any references for this publication.

Article

Full-text available

Multi-view coding of local features in visual sensor networks

July 2015

Local visual features extracted from multiple camera views are employed nowadays in several application scenarios, such as object recognition, disparity matching, image stitching and many others. In several cases, local features need to be transmitted or stored on resource-limited devices, thus calling for efficient coding techniques. While recent works have addressed the problem of efficiently ... [Show full abstract] compressing local features extracted from still images or video sequences, in this paper we propose and evaluate an architecture for coding features extracted from multiple, overlapping views. The proposed Multi-View Feature Coding architecture can be applied to either real-valued or binary features, and allows to obtain bitrate reductions in the order of 10-20% with respect to simulcast coding.

View full-text

Conference Paper

Image quality metrics for degraded visual environments

May 2017 · Proceedings of SPIE - The International Society for Optical Engineering

Brendan Blanton

With the development of a myriad of imaging sensors and associated image processing algorithms to address the DVE problem relative performance evaluations have becoming increasingly important. In this paper, we introduce image quality metrics which have been selected for DVE applications. These quality metrics are based on the human visual system and consider factors such as induced processing ... [Show full abstract] noise, information content, and preserved image detail. These measures are shown to be useful for the evaluation of imaging sensors and associated processing. In addition, these measures provide direction for tuning and optimizing DVE local area processing (LAP) algorithms. Results will be shown for sample test images and dust trials of a camera with various image processing algorithms.

Article

Full-text available

UnDeepVO: Monocular Visual Odometry through Unsupervised Deep Learning

September 2017

We propose a novel monocular visual odometry (VO) system called UnDeepVO in this paper. UnDeepVO is able to estimate the 6-DoF pose of a monocular camera and the depth of its view by using deep neural networks. There are two salient features of the proposed UnDeepVO: one is the unsupervised deep learning scheme, and the other is the absolute scale recovery. Specifically, we train UnDeepVO by ... [Show full abstract] using stereo image pairs to recover the scale but test it by using consecutive monocular images. Thus, UnDeepVO is a monocular system. The loss function defined for training the networks is based on spatial and temporal dense information. A system overview is shown in Fig. 1. The experiments on KITTI dataset show our UnDeepVO outperforms other monocular VO methods in terms of pose accuracy.

View full-text

Article

Reduced-reference Quality Assessment Model of Stereoscopic Image Based on Visual Perception and Zero...

August 2012 · JOURNAL OF ELECTRONICS INFORMATION TECHNOLOGY

Through analyzing the image structure direction characteristics and the stereoscopic perception of human visual system, and combining semi-fragile digital watermarking and Support Vector Regression (SVR), a reduced-reference stereoscopic image quality assessment model based on visual perception and zero-watermark is proposed. In this model, the view zero-watermark is constructed by judging the ... [Show full abstract] relation of the horizontal and vertical wavelet coefficients, which can reflect the image structure information. Meanwhile, the disparity zero-watermark that reflects the stereoscopic perception quality is constructed by using the disparity between the left and right views. And then the relativity of two watermark-recovering rates (watermark-recovering rates of the view and disparity zero-watermarks) and subjective quality scores can be learned by the training procedure of SVR. Finally, stereoscopic image quality is predicted by trained SVR. Experimental results show that the proposed reduced-reference model is in accordance with human visual characteristics, and consistent with the result of subjective evaluation value preferably.

Article

Measurement Of Flight Simulator Visual System Performance

September 1975 · Proceedings of SPIE - The International Society for Optical Engineering

Measurement of resolution, modulation, and contrast on visual displays for flight simulators must be made in order to objectively assess visual system performance. A method of analyzing the image quality of a total visual system is to place a television camera at the pilot's eyepoint and set up to look at a small portion of the visual display. The camera's video output can then be analyzed to ... [Show full abstract] determine the level of performance. Resolution and modulation data is obtained on the entire visual system including the display device and image generation system. The observer camera must have several special qualities in order to yield accurate results. High sensitivity is needed because most visual displays have low brightness. A linear response with brightness is also required. By modifying an average-quality vidicon camera with a silicon target vidicon and a unique beam blanking circuit, a low cost camera can be used for resolution and modulation measurements.

Conference Paper

Binocular mismatch induced by luminance discrepancies on stereoscopic images

July 2014

Luminance discrepancies between image pairs occur owing to inconsistent parameters between stereoscopic camera devices and from imperfect capture conditions. Such discrepancies induce binocular mismatches and affect the visual comfort that is felt by viewers, as well as their ability to fuse stereoscopic. To better understand and observe this effect, we built a stereoscopic images database of 240 ... [Show full abstract] luminance discrepancy images and 30 natural images with subjective scores of visual discomfort and fusion difficulty. Two features, binocular contrast and luminance similarity were extracted to analyze the relationship between the subjective scores and the luminance discrepancies. Structural dissimilarity and average luminance are used to predict the effects of binocular mismatches. The experimental results show that the combination of binocular contrast, structural dissimilarity and average luminance exhibits high consistency with subjective scores of visual discomfort, fusion difficulty and overall binocular mismatches in terms of Spearman's Rank Ordered Correlation Coefficient.

Conference Paper

Full-text available

Overview of the ImageCLEFmed 2006 Medical Retrieval and Medical Annotation Tasks

September 2007 · Lecture Notes in Computer Science

This paper describes the medical image retrieval and annotation tasks of ImageCLEF 2006. Both tasks are described with respect to goals, databases, topics, results, and techniques. The ImageCLEFmed retrieval task had 12 participating groups (100 runs). Most runs were automatic, with only a few manual or interactive. Purely textual runs were in the majority compared to purely visual runs but most ... [Show full abstract] were mixed, using visual and textual information. None of the manual or interactive techniques were significantly better than automatic runs. The best–performing systems used visual and textual techniques combined, but combinations of visual and textual features often did not improve performance. Purely visual systems only performed well on visual topics. The medical automatic annotation used a larger database of 10,000 training images from 116 classes, up from 9,000 images from 57 classes in 2005. Twelve groups submitted 28 runs. Despite the larger number of classes, results were almost as good as in 2005 which demonstrates a clear improvement in performance. The best system of 2005 would have received a position in the middle in 2006.

View full-text

Article

Effect of Visual Attention Guidance by Camera Work in Visualization Using Dome Display

November 2017 · International Journal of Modeling Simulation and Scientific Computing

Dome display is expected to be used as effective visualization environment for modeling and simulation due to the features of frameless and high immersive sensation. However, since the users in the dome display can see the projected image in arbitrary direction freely, it is difficult to share information among the viewers. In this research, in order to solve such a problem, the effect of visual ... [Show full abstract] attention guidance in the dome environment due to the effect of camera work was examined. As a visualization system, DomePlayer that can express the effect of camera work based on the camera work description language was developed. From the result of evaluation experiments using this system, the constraint condition of the camera work in the dome environment was derived and the effect of visual attention guidance by the camera work was evaluated.

Article

Assessment of the influence of aerial image radiometry on the quality of point clouds generated by s...

June 2014

Wojciech Dominik

This paper presents the results of the research concerning the influence of aerial image radiometry on the quality of the point cloud generated by semi-global matching. The research involved the examination of several issues related to image radiometry such as spectral band, histogram stretching, bit depth and lossy compression. A selected pair of images acquired with the use of Intergraph ... [Show full abstract] DMCII230 aerial camera have been subjected to semi-global matching. This step was carried out using images resulting from different radiometric processing scenarios. The quality of the resulting point clouds was evaluated by analyzing statistical parameters on flat parts of terrain surface. For the purpose of the evaluation 6 control planes were defined. An additional visual assessment of point clouds was carried out consisting mainly of point clouds profile analysis. The results enabled to formulate the conclusions concerning the influence of image radiometric parameters on the semi-global matching. Some recommendations concerning the radiometric processing of aerial images for optimal results of semiglobal matching are made.

Article

Full-text available

Three Dimensional Flow Visualization Using a Pulse Burst Laser System

January 2009

Further development of a high-speed three-dimensional flow visualization system is explored. The technique is based on the high-speed scanning and imaging of a laser sheet produced by a pulse burst laser capable of operating in excess of 1 MHz. The focus of this study is on the further development of the pulse burst laser, synchronization between the multiple system components, and data ... [Show full abstract] processing to yield 3-D images and high-quality 2-D images. Multiple 3-D visualizations (220 × 220 × 68 voxel resolution) of an acoustically-excited jet are presented, each taken at "full-speed," with the scanning mirror directing the laser through the flow, and the high-speed camera operating at 500,000 fps. In this configuration, each 3-D image took 136 μs to acquire. The presented visualizations demonstrate the ability of the technique to visualize complex, three-dimensional flow structures, such as ring vortices. Future work will concentrate on increasing laser intensity at shorter pulse durations to increase resolution and allow the technique to be used for supersonic flows.

View full-text

Chapter

Subjective Ratings and Image Quality Databases

March 2018

Yong Ding

Since human visual system (HVS) is the ultimate receiver of visual signals, ideal image quality assessment (IQA) should be conducted by subjective experiments. Moreover, well-organized subjective study provides the golden standard for evaluating and training objective IQA models. A few IQA databases have been constructed following rigorous experimental setups and flows. Such databases provide ... [Show full abstract] subjective experimental results for collected distorted images that can well guide objective study. In this chapter, the general framework of subjective IQA study and the information about several representative IQA databases are introduced.

Preprint

Full-text available

How do neural networks see depth in single images?

May 2019

Deep neural networks have lead to a breakthrough in depth estimation from single images. Recent work often focuses on the accuracy of the depth map, where an evaluation on a publicly available test set such as the KITTI vision benchmark is often the main result of the article. While such an evaluation shows how well neural networks can estimate depth, it does not show how they do this. To the ... [Show full abstract] best of our knowledge, no work currently exists that analyzes what these networks have learned. In this work we take the MonoDepth network by Godard et al. and investigate what visual cues it exploits for depth estimation. We find that the network ignores the apparent size of known obstacles in favor of their vertical position in the image. Using the vertical position requires the camera pose to be known; however we find that MonoDepth only partially corrects for changes in camera pitch and roll and that these influence the estimated depth towards obstacles. We further show that MonoDepth's use of the vertical image position allows it to estimate the distance towards arbitrary obstacles, even those not appearing in the training set, but that it requires a strong edge at the ground contact point of the object to do so. In future work we will investigate whether these observations also apply to other neural networks for monocular depth estimation.

View full-text

Image Pickup And Display Devices

Abstract

No full-text available

Recommended publications

Multi-view coding of local features in visual sensor networks

Image quality metrics for degraded visual environments

UnDeepVO: Monocular Visual Odometry through Unsupervised Deep Learning

Reduced-reference Quality Assessment Model of Stereoscopic Image Based on Visual Perception and Zero...

Measurement Of Flight Simulator Visual System Performance

Binocular mismatch induced by luminance discrepancies on stereoscopic images

Overview of the ImageCLEFmed 2006 Medical Retrieval and Medical Annotation Tasks

Effect of Visual Attention Guidance by Camera Work in Visualization Using Dome Display

Assessment of the influence of aerial image radiometry on the quality of point clouds generated by s...

Three Dimensional Flow Visualization Using a Pulse Burst Laser System

Subjective Ratings and Image Quality Databases

How do neural networks see depth in single images?