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287 results for “Augmented Reality”
Supplementary materials to the paper: Automatic Parameters Tuning of Late Reverberation Algorithms for Audio Augmented Reality
<p>Supplementary materials to the paper:</p> <blockquote> <p>Riccardo Bona, Davide Fantini, Giorgio Presti, Marco Tiraboschi, Isaac Engel and Federico Avanzini. 2022. Automatic Parameters Tuning of Late Reverberation Algorithms for Audio Augmented Reality. In <em>Proceedings of International Conference on Audio Mostly</em>.</p> </blockquote> <p>The supplementary materials include the reverberated audio stimuli employed in the MUSHRA listening test reported in the paper. For each type of audio stimuli (Drums, Sax and Speech) the version reverberated with each of the six target Room Impulse Responses (RIRs) is provided along with the versions reverberated using the reverb matching method proposed in the paper (two different artificial reverberators have been considered: FDN and Freeverb).</p> <p>Further, the reverberation times (<span class="math-tex">\(T_{20}\)</span>) per octave band for each considered RIR are provided.</p>
Dataset Interactive Audio Augmented Reality in Participatory Performance _Please Confirm You Are Not A Robot_
<p>This dataset gathers the different data from the study "Interactive Audio Augmented Reality in Participatory Performance". </p>
Supplemental material: Operative videos on application of microscope-based augmented reality with intraoperative computed tomography-based navigation for resection of skull base meningiomas
<p>Supplemental material</p> <p>Operative videos:</p> <p>Patient number 9: Microsurgical resection of medial sphenoid wing meningioma using microscope-based augmented reality and intraoperative computed tomography-based navigation</p> <p>Pt 28:Microsurgical resection of right clinoidal meningioma via fronto-temporal craniotomy with microscope-based augmented reality</p> <p>Pt 31:Microsurgical resection of recurrent sphenoid wing meningioma using microscope-based augmented reality with intraoperative computed tomography</p> <p>Pt 36: Microsurgical resection of giant olfactory meningioma via bifrontal approach with use of augmented reality and intraoperative CT-based navigation</p>
Location-based augmented reality (LBAR) spatial data test
<p>This repository gathers video data (screen capture) collected on a field test conducted on the 11th of May 2022, at the HEIG-VD in Yverdon-les-Bains, Switzerland.<br> <br> The goal of the test was to submit LBAR interfaces to different sources of spatial data. The 5 conditions compared were:<br> <br> 1) ARCore interface (visual odometry) fed with position and orientation data provided by the mobile device’s embedded Inertial Measurment Unit (IMU) and GNSS measurment unit.<br> 2) ARCore interface (visual odometry) fed with orientation data provided by the mobile device’s embedded Inertial Measurment Unit (IMU), and with position data provided by an external REDcatch GNSS/RTK measurment unit.<br> 3) A-Frame + LBAR.js interface fed with position and orientation data provided by the mobile device’s embedded Inertial Measurment Unit (IMU) and GNSS measurment unit.<br> 4) A-Frame + LBAR.js interface fed with orientation data provided by the mobile device’s embedded Inertial Measurment Unit (IMU), and with position data provided by an external REDcatch GNSS/RTK measurment unit.<br> 5) A-Frame + LBAR.js interface fed with position and orientation data provided by an external Inertial Navigation Station Xsens MTi-680g (IMU + GNSS/RTK).</p>
Augmented Objects as Portals into Virtual Worlds: Using Audio to Create Immersive Experiences in Extended Realities - UMBRELLA AUDIO SPATIALIZATION DEMO
<p><strong>Technical demonstration</strong></p> <p>The results of the projection mapping system in the project are clear from the <a href="https://blog.zhdk.ch/immersivearts/dreaming-of-time-and-space/">main documentation video</a>; however, the impact of the spatial audio system in particular, is best experienced from directly underneath the umbrellas, where one can best appreciate the various levels of mixed reality. Unfortunately, it is difficult to document these effects within the artistic context of the project, and as such, we include a brief set of examples to better demonstrate the 6 degree of freedom sound spatialization capabilities of the umbrella system.</p> <p><em><strong>NOTE:</strong></em> The audio in the following examples is recorded from a fixed perspective (initially underneath the umbrella) and rendered binaurally. Unfortunately, the ambisonic microphone used does not capture directionality very well when the source (in this case, the umbrella speakers) is less than ~1 meter away, and in retrospect, a single channel of pink noise was not a wise choice as a source material, as it appears to cause additional phasing issues. Additionally, the effectiveness of binaural audio varies from listener to listener, so <em>the perceived effect in the video is not as strong as when experienced in person</em>; nonetheless, it is possible to get the basic idea of the spatialization algorithm in action from these examples.</p> <p>PLEASE WEAR HEADPHONES IN ORDER TO EXPERIENCE THE 3D EFFECT.</p> <p>In addition to the view of the entire scene from an outside perspective, several other views of the underlying software are displayed throughout the video, including:</p> <ul> <li> <p>A radar view of the scene (umbrella and sound source) as seen by the space manager software, where the:</p> <ul> <li> <p>Blue circle = umbrella</p> </li> <li> <p>Cyan triangle, yellow square = sound source</p> </li> </ul> </li> <li> <p>A view of elements of the spatialization software running on the umbrella, specifically the:</p> <ul> <li> <p>Relative gain calculations and current output levels of each speaker</p> </li> <li> <p>Results of supporting calculations (e.g. sound location after transformation from the global to local coordinate system, and scaling factors used to attenuate the overall volume of the sound as the distance from the umbrella to the sound changes)</p> </li> </ul> </li> </ul> <p><strong>Demo #1</strong></p> <p>Stationary umbrella with a moving virtual sound source (anchored to a rigid body)</p> <p><strong>Demo #2</strong></p> <p>Rotating umbrella with a stationary sound source (anchored to a rigid body)</p> <p><strong>Demo #3</strong></p> <p>Moving umbrella with a fixed sound source (anchored to a rigid body)</p> <p><strong>Demo #4</strong></p> <p>Moving umbrella with a fixed sound source (anchored to a virtual point in space, located above the microphone); as the umbrella approaches the source, the sound first fades into the room, then collapses into the umbrella, as show in Figure 7 ("Fading between umbrella and room with distance") in the main paper</p>
FIGURE 19 in Designing scientifically-grounded paleoart for augmented reality at La Brea Tar Pits
FIGURE 19. Photogrammetry model of a life sized sculpture of the extinct American mastodon (Mammut americanum) located at La Brea Tar Pits. To view this model in 3D, please see the online version of this article.
FIGURE 18 in Designing scientifically-grounded paleoart for augmented reality at La Brea Tar Pits
FIGURE 18. Low poly reconstruction of the extinct American mastodon (Mammut americanum). To view this model in 3D, please see the online version of this article.
FIGURE 14 in Designing scientifically-grounded paleoart for augmented reality at La Brea Tar Pits
FIGURE 14. Low poly reconstruction of the extinct western horse (Equus occidentalis). To view this model in 3D, please see the online version of this article.
FIGURE 9 in Designing scientifically-grounded paleoart for augmented reality at La Brea Tar Pits
FIGURE 9. Low poly reconstruction of the extinct dire wolf (Aenocyon dirus). To view this model in 3D, please see the online version of this article.
FIGURE 11 in Designing scientifically-grounded paleoart for augmented reality at La Brea Tar Pits
FIGURE 11. Low poly reconstruction of a male extinct American lion (Panthera atrox). To view this model in 3D, please see the online version of this article.
FIGURE 12 in Designing scientifically-grounded paleoart for augmented reality at La Brea Tar Pits
FIGURE 12. Low poly reconstruction of the extinct saber-toothed cat (Smilodon fatalis). To view this model in 3D, please see the online version of this article.
FIGURE 8 in Designing scientifically-grounded paleoart for augmented reality at La Brea Tar Pits
FIGURE 8. Low poly reconstruction of the extinct western camel (Camelops hesternus). To view this model in 3D, please see the online version of this article.
FIGURE 4 in Designing scientifically-grounded paleoart for augmented reality at La Brea Tar Pits
FIGURE 4. Stages in the development of a low poly dire wolf model. A. Mesh showing the overall 3D shape of the model. B. Rigging showing the model's skeleton. Colors represent the "weights" of different bones and joints on the overall model's deformation while moving. C. The 2D texture file. D. The finished, rigged model with texture correctly wrapped around the mesh.
FIGURE 17 in Designing scientifically-grounded paleoart for augmented reality at La Brea Tar Pits
FIGURE 17. Low poly reconstruction of the extinct Columbian mammoth (Mammuthus columbi). To view this model in 3D, please see the online version of this article.
FIGURE 7 in Designing scientifically-grounded paleoart for augmented reality at La Brea Tar Pits
FIGURE 7. Low poly reconstruction of the extinct ancient bison (Bison antiquus). To view this model in 3D, please see the online version of this article.
FIGURE 3. A. Low immersion conditions used a handheld smartphone. B. High immersion conditions used a in Designing scientifically-grounded paleoart for augmented reality at La Brea Tar Pits
FIGURE 3. A. Low immersion conditions used a handheld smartphone. B. High immersion conditions used a smartphone inserted into an inexpensive headset. C. To provide binocular vision in the headset, the smartphone screen is split into two smaller images, greatly reducing available screen space and resolution.
FIGURE 6 in Designing scientifically-grounded paleoart for augmented reality at La Brea Tar Pits
FIGURE 6. Low poly reconstruction of the extinct dwarf pronghorn (Capromeryx minor). To view this model in 3D, please see the online version of this article.
FIGURE 2. A in Designing scientifically-grounded paleoart for augmented reality at La Brea Tar Pits
FIGURE 2. A. Mural of La Brea Tar Pits painted by Charles Knight in 1925. B. Mural of La Brea Tar Pits painted by Mark Hallett in 1988 ©Mark Hallett. The Hallett image is not published under the terms of the CC-BY license of this article. For permission to reuse, please contact Mark Hallett.
FIGURE 5 in Designing scientifically-grounded paleoart for augmented reality at La Brea Tar Pits
FIGURE 5. Low poly reconstruction of the extinct teratorn (Teratornis merriami). To view this model in 3D, please see the online version of this article.
FIGURE 13 in Designing scientifically-grounded paleoart for augmented reality at La Brea Tar Pits
FIGURE 13. Low poly reconstruction of the extinct short-faced bear (Arctodus simus). To view this model in 3D, please see the online version of this article.
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.