We present an algorithm to generate 2d arrays of random numbers as digital holograms to be used as optical information carriers to realize high-fidelity optical data transmission through scattering media in free space...
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In this paper, we proposed E2dSNeRF, a new image-based method that is highly suitable for 3d reconstruction of wind turbines. Specifically, considering the smooth and textureless characteristics of wind turbine blades...
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Computational imaging techniques are indirect ones consisting of two steps: optical recording and computational reconstruction. In this study, deterministic optical fields such as Bessel, Airy, Gaussian and Laguerre-G...
Light fielddisplays enable glasses-free 3d visualization without major constraints regarding the number of simultaneous viewers. There are numerous potential future use case contexts for such devices. Industrial cont...
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ISBN:
(纸本)9781665464956
Light fielddisplays enable glasses-free 3d visualization without major constraints regarding the number of simultaneous viewers. There are numerous potential future use case contexts for such devices. Industrial contexts include prototype review and other types of modeling use cases, where the visualized content may vary a lot in terms of complexity anddimensions. However, the perception of 3d models with higher structural fidelity may be severely affected by the ray density of visualization. Furthermore, as the visualized content is always the sharpest in the plane of the screen of the light fielddisplay, rendering with greater depth may already result in blurred regions even if the angular resolution is high. In this paper, the effect of angular resolution and3d rendering on the perceived quality of the industrial use cases of light field visualization is explored via a subjective study. The structurally-diverse source contents are rendered with different depth values, and the resulting test stimuli are created in seven extents of angular resolution, ranging between 0.5 degrees and 2 degrees. The obtained results not only exhibit the combined effect of the investigated features, but also highlight methodological considerations.
Time-multiplexed light-fielddisplays (TMLFds) can provide natural and realistic three-dimensional (3d) performance with a wide 120 degrees viewing angle, which provides broad potential applications in 3d electronic s...
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Time-multiplexed light-fielddisplays (TMLFds) can provide natural and realistic three-dimensional (3d) performance with a wide 120 degrees viewing angle, which provides broad potential applications in 3d electronic sand table (EST) technology. However, current TMLFds suffer from severe crosstalk, which can lead to image aliasing and the distortion of the depth information. In this paper, the mechanisms underlying the emergence of crosstalk in TMLFd systems are identified and analyzed. The results indicate that the specific structure of the slanted lenticular lens array (LLA) and the non-uniformity of the emergent light distribution in the lens elements are the two main factors responsible for the crosstalk. In order to produce clear depth perception and improve the image quality, a novel ladder-type LCd sub-pixel arrangement and a compound lens with three aspheric surfaces are proposed and introduced into a TMLFd to respectively reduce the two types of crosstalk. Crosstalk simulation experiments demonstrate the validity of the proposed methods. Structural similarity (SSIM) simulation experiments and light-field reconstruction experiments also indicate that aliasing is effectively reduced and the depth quality is significantly improved over the entire viewing range. In addition, a tabletop 3d EST based on the proposed TMLFd is presented. The proposed approaches to crosstalk reduction are also compatible with other lenticular lens-based3ddisplays. (C) 2021 Optical Society of America under the terms of the OSA Open Access Publishing Agreement
Visual perception is a key technology in the Intelligent Visual Internet of Things. The research of object detection methods is of great significance for improving the safety and efficiency of unmanneddriving technol...
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Visual perception is a key technology in the Intelligent Visual Internet of Things. The research of object detection methods is of great significance for improving the safety and efficiency of unmanneddriving technology and intelligent visual Internet of Things. 3d point clouds object detection of deep learning can not only use the deep network to automatically learn characteristics of the multi-layer abstract structure, improve calculation efficiency anddetection accuracy of the model, but also have better performance in dealing with object occlusion, absence anddata sparsity with obtained high-dimensional point clouds information. However, the current review of object detection methods for 3d point clouds based on deep learning is scarce. In order to provide a more comprehensive understanding and understanding of the security and efficiency development of driverless technology, this paper is divided into the monocular camera, RGB-dimage and LidAR point cloud, according to the main data of the network model, and further subdivides according to the different use methods of the model. Analyze the performance of various model detection methods. This article also summarizes current commonly used3d point clouds datasets of object detection, organizes anddescribes detection metrics of commonly used3d point clouds, anddiscusses research challenges anddevelopment trends. The real-time performance of 3d point cloud object detection under the intelligent vision Internet of Things needs to be improved.
We describe a novel projector design based on interferometric fringe projection. The key component in the projector, a movable micro-mirror, has undergone initial vibration, TVAC and radiation testing, with no observe...
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This paper presents a manufacturable monocular laparoscopic objective lens design that acquires simultaneous stereoscopic views via two apertures and a custom prism and an additional wider field of view via a central ...
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