due to the availability of cheap 3d sensors such as Kinect and LidAR, the use of 3ddata in various domains such as manufacturing, healthcare, and retail to achieve operational safety, improved outcomes, and enhanced ...
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due to the availability of cheap 3d sensors such as Kinect and LidAR, the use of 3ddata in various domains such as manufacturing, healthcare, and retail to achieve operational safety, improved outcomes, and enhanced customer experience has gained momentum in recent years. In many of these domains, object recognition is being performed using 3ddata against the difficulties posed by illumination, pose variation, scaling, etc. present in 2ddata. In this work, the authors propose three data augmentation techniques for 3ddata in point cloud representation that use sub-sampling. They then verify that the 3d samples created through data augmentation carry the same information by comparing the iterative closest point registration error within the sub-samples, between the subsamples and their parent sample, between the sub-samples with different parents and the same subject, and finally, between the sub-samples of different subjects. They also verify that the augmented sub-samples have the same characteristics and features as those of the original 3d point cloud by applying the central limit theorem.
Purpose To achieve the challenging goal of simultaneously improving aesthetics and auditory function in the treatment of microtia, we developed an auricular prosthesis incorporating a cartilage conduction hearing aid ...
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Purpose To achieve the challenging goal of simultaneously improving aesthetics and auditory function in the treatment of microtia, we developed an auricular prosthesis incorporating a cartilage conduction hearing aid (APiCHA), which covers a cartilage conduction hearing aid (CC-HA). We evaluated the acoustic characteristics generated by the method of combining these two components using an artificial mastoid and investigated the possibility of clinical translation. Methods The first step in creating an APiCHA is to take molds of both the affected and normal auricles and invert the 3ddata of the normal auricle to create data for the auricular prostheses. Grooves were then made inside the prosthetic data to fit the affected ear and a CC-HA, and the APiCHA was made of silicone. The acoustic characteristics were measured using an artificial mastoid, and the results were compared between CC-HA alone and with APiCHA. Results Compared with CC-HA alone, the gain was approximately 2 dB lower at high frequencies from 1 k Hz and higher, and approximately 2 dB higher at approximately 900 Hz when CC-HA was used with APiCHA. For the other frequencies, the acoustic characteristics were almost the same. Conclusion The changes in acoustic characteristics caused by the combined use of APiCHA and CC-HA were minimal anddid not pose a clinical problem. The combined use of APiCHA and CC-HA can be considered as a non-invasive and clinically applicable treatment option to achieve both aesthetic and auditory improvements for microtia.
The Shallow Radar (SHARAd) instrument aboard Mars Reconnaissance Orbiter (MRO) has been conducting sounding operations of Mars' near surface for more than 16 years. Results of the SHARAd investigation have been we...
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The Shallow Radar (SHARAd) instrument aboard Mars Reconnaissance Orbiter (MRO) has been conducting sounding operations of Mars' near surface for more than 16 years. Results of the SHARAd investigation have been well documented in the literature, with relatively high coverage density in the polar regions leading to some of the earliest scientific discoveries there. data collection and ensuing surprises of SHARAd's primary and first extended science phases were the impetus for choosing the north polar region for producing a first 3d radar image. This early attempt was successful, producing the first 3d radar image of Mars' north polar layereddeposits in Planum Boreum, and shortly thereafter a companion 3d radar image of the south polar layereddeposits in Planum Australe. Subsequent work refined the 3d methodology used to produce these images, leading to a significantly higher quality 3d image of the former as well as the first 3d radar image of the debris-covered glaciers in the east-central portion of deuteronilus Mensae (dM) in the mid-latitudes. Prior experience in terrestrial seismic dataprocessing and analysis methods forms the basis of the 3d methodology used with Martian radar data, and has been indispensable in ongoing efforts to improve this methodology to further clarify the 3d images of the targets. The purposes of this article are to review 1) the SHARAd3d work history and results, 2) the methodology developed and challenges encountered thus far in producing the SHARAd3d images, 3) the broader impact on the processing and analysis of SHARAddata, and 4) current efforts and plans for producing follow-on SHARAd3d images. Similarities anddifferences between orbital radar and seismic sounding anddataprocessing are sprinkled throughout the article as reminders that the outcomes in this case are very much the product of cross-disciplinary knowledge and experience.
The sub-bottom profiler is a valuable tool for obtaining high-resolution shallow stratigraphic data in marine geological and geophysical surveys. To detect and acquire the structural characteristics of small submarine...
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The sub-bottom profiler is a valuable tool for obtaining high-resolution shallow stratigraphic data in marine geological and geophysical surveys. To detect and acquire the structural characteristics of small submarine objects, we developed a dataprocessing method that utilizes 2ddata to construct a 3d structural model. We conducted application experiments using sub-bottom profile detection data from Chuanshan Islands, which were explored using China's most advanced unmanned exploration platform and commercial shallow formation profiling system. To create high-resolution 3d seafloor structure models from recorded 2d sub-bottom profile datasets, an optimizeddataprocessing sequence was devised, comprising two stages: 2ddataprocessing and3d data processing. The 2ddataprocessing stage involved spectrum analysis, band-pass filtering, matching filtering, time-varying gain, and surge correction. The subsequent 3d data processing stage encompassed ping location reallocation, static correction, and extraction of feature layer information. Notably, the final pseudo-3d sub-bottom profile time slice exhibited significant amplitude variations near the target body. This methodology represents an extension of the application of 2d sub-bottom profile data, enhancing the target recognition capabilities of such data. To further improve the precision of target body characterization, we used ArcScene 10.0 to create a 3d sub-bottom profile formation model spatial database. We constructed a submarine 3d formation structure model to show the 3d structural characteristics of the target body in detail and identified a seabed target body measuring 6.4 x 9.2 x 10 m.
This paper proposes a methodology with which to measure the slight erosion undergone by valuable heritage pieces in a short period of time. The problems dealt with by our method concern the irregular (free-shape) geom...
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This paper proposes a methodology with which to measure the slight erosion undergone by valuable heritage pieces in a short period of time. The problems dealt with by our method concern the irregular (free-shape) geometry of the piece to be measured, the difficulty involved in achieving the fine registration required among different samples of the piece, the slight loss of material in a short period of time and the suitable definition of descriptors that will help to carry out a reliable qualitative and quantitative analysis. This document proposes a basic methodology that is able to tackle each of the aforementioned problems. An in-depth explanation of the degradation analysis has been carried out on a representative case study, including the qualitative and quantitative procedures employed. The results obtained lead us to believe that this methodology could be reproduced and applied to similar degradation problems related to old buildings.
This paper describes research on 3d GIS and the related studies undertaken by the community that were published and presented at the 3d GeoInfo conferences from 2006 to 2022: the first conference was organized in Kual...
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This paper describes research on 3d GIS and the related studies undertaken by the community that were published and presented at the 3d GeoInfo conferences from 2006 to 2022: the first conference was organized in Kuala Lumpur and the 17th conference in Sydney. Several earlier works (published prior to 2006) are also part of the compilation, forming a basis of the 3d GIS research literature and part of the introduction of this paper. Almost all events in the series are described, with the exception of the Wuhan version. The descriptions are categorized into two decades, and the reflections of the 3d GIS research, anddevelopment (R-&-d) are highlighted towards the end of the paper.
With the rising popularity of remote sensing across various scientific and engineering disciplines, the demand for efficient analysis of point clouddata has surged. However, the inherent complexity and volume of poin...
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ISBN:
(纸本)9798400704192
With the rising popularity of remote sensing across various scientific and engineering disciplines, the demand for efficient analysis of point clouddata has surged. However, the inherent complexity and volume of point clouddata pose considerable obstacles to human annotation efforts, which are an essential step within the machine learning pipeline for generating accurate training datasets. NeedLR emerges as a solution, offering a robust, userfriendly platform tailored for precise and streamlined point cloud annotation. By harnessing GPU-accelerated visualization, NeedLR facilitates interactive 3d manipulation of point clouds, granting users an intuitive means to dive into their data. Further optimized for efficient RAM usage and employing parallel computing strategies, NeedLR achieves great performance across varied computing environments. Its accessible interface broadens user engagement, rendering it a prime candidate for crowdsourced annotation initiatives and enhancing its utility in machine learning endeavors. This paper presents NeedLR, exploring its development, key features, and the user-centric philosophy that shapes its design. We highlight the potential for NeedLR's role in enhancing current point cloud annotation techniques, merging operational efficiency with broad access to empower users across disciplines.
Although the field of sleep study has greatly developed over recent years, the most common and efficient way to detect sleep issues remains a sleep examination performed in a sleep laboratory. This examination measure...
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Although the field of sleep study has greatly developed over recent years, the most common and efficient way to detect sleep issues remains a sleep examination performed in a sleep laboratory. This examination measures several vital signals by polysomnograph during a full night's sleep using multiple sensors connected to the patient's body. Nevertheless, despite being the gold standard, the sensors and the unfamiliar environment's connection inevitably impact the quality of the patient's sleep and the examination itself. Therefore, with the novel development of accurate and affordable 3d sensing devices, new approaches for non-contact sleep study have emerged. These methods utilize different techniques to extract the same breathing parameters but with contactless methods. However, to enable reliable remote extraction, these methods require accurate identification of the basic region of interest (ROI), i.e., the patient's chest area. The lack of automated ROI segmenting of 3d time series is currently holding back the development process. We propose an automatic chest area segmentation algorithm that given a time series of 3d frames containing a sleeping patient as input outputs a segmentation image with the pixels that correspond to the chest area. Beyond significantly speeding up the development process of the non-contact methods, accurate automatic segmentation can enable a more precise feature extraction. In addition, further tests of the algorithm on existing datademonstrate its ability to improve the sensitivity of a prior solution that uses manual ROI selection. The approach is on average 46.9% more sensitive with a maximal improvement of 220% when compared to manual ROI. All mentioned can pave the way for placing non-contact algorithms as leading candidates to replace existing traditional methods used today.
This paper presents a point cloud neural network (PCNN) to locate radiation sources in complex space. The network has the ability to process 3d sampling information which consists of the electric field intensity and c...
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Although multi-temporal acquisitions are a widely accepted way to reduce occlusions in point clouds, occlusion analysis continues to be a visual analysis. The objective of this work is the design of an automatic metho...
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Although multi-temporal acquisitions are a widely accepted way to reduce occlusions in point clouds, occlusion analysis continues to be a visual analysis. The objective of this work is the design of an automatic method for the detection and characterization of street point cloud occlusions acquired with Mobile Laser Scanning (MLS). The proposed method consists of four main phases: alignment of the point cloud, rasterization, generation of occluded point clouds and visibility analysis. The proposed method was tested with point clouds of TerraMobil-ita/iQmulus dataset. The result shows a correct detection of 98.71% of the occlusions on ground and 83.37% on facades. All detected occlusions were correctly characterized. In the case studies, cars generated the largest amount of occluded area on the ground, with an occluded area per object of 15.36 m2. The main source of occlusions on facades was the building geometry and windows.
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