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Project Tango

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Eitan Marder-EppsteinAuthors Info & Claims

SIGGRAPH '16: ACM SIGGRAPH 2016 Real-Time Live!

Article No.: 40, Page 25

https://doi.org/10.1145/2933540.2933550

Published: 24 July 2016 Publication History

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Abstract

Project Tango technology brings a new kind of spatial perception to the Android platform by adding advanced computer vision, image processing, and special vision sensors. Applications built with Project Tango include phone-based measuring and surveying, augmented-reality games tied to the physical environment, remoteshopping apps that visualize products in your home, accurate indoor navigation in stores and malls, educational experiences that allow users to walk through the solar system, real-time 3D reconstruction, and more. With advanced computer vision and depth processing techniques that are exposed to developers via three core technologies 'motion tracking, area learning, and depth perception,' Project Tango is changing the capabilities of mobile phones.

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Shafique SSetti WCampus CZanchi SDel Bue AGori M(2024)How path integration abilities of blind people change in different exploration conditionsFrontiers in Neuroscience10.3389/fnins.2024.137522518Online publication date: 17-May-2024
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Published In

SIGGRAPH '16: ACM SIGGRAPH 2016 Real-Time Live!

July 2016

20 pages

ISBN:9781450343787

DOI:10.1145/2933540

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 24 July 2016

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Conference

SIGGRAPH '16

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SIGGRAPH

SIGGRAPH '16: Special Interest Group on Computer Graphics and Interactive Techniques Conference

July 24 - 28, 2016

California, Anaheim

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Overall Acceptance Rate 1,822 of 8,601 submissions, 21%

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Cited By

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Shafique SSetti WCampus CZanchi SDel Bue AGori M(2024)How path integration abilities of blind people change in different exploration conditionsFrontiers in Neuroscience10.3389/fnins.2024.137522518Online publication date: 17-May-2024
https://doi.org/10.3389/fnins.2024.1375225
Zheng LElden Tse TWang CSun YChen HLeonardis AZhang WChang H(2024)GeoReF: Geometric Alignment Across Shape Variation for Category-level Object Pose Refinement2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)10.1109/CVPR52733.2024.01017(10693-10703)Online publication date: 16-Jun-2024
https://doi.org/10.1109/CVPR52733.2024.01017
Abidi MNoor Siddiquee AAlkhalefah HSrivastava V(2024)A comprehensive review of navigation systems for visually impaired individualsHeliyon10.1016/j.heliyon.2024.e3182510:11(e31825)Online publication date: Jun-2024
https://doi.org/10.1016/j.heliyon.2024.e31825
Jiang HSalzmann MDang ZXie JYang JOh ANaumann TGloberson ASaenko KHardt MLevine S(2023)SE(3) diffusion model-based point cloud registration for robust 6D object pose estimationProceedings of the 37th International Conference on Neural Information Processing Systems10.5555/3666122.3667053(21285-21297)Online publication date: 10-Dec-2023
https://dl.acm.org/doi/10.5555/3666122.3667053
AKIN ACÖMERT ÇUSTA Z(2023)Görme Engelliler İçin Geliştirilmiş Destekleyici Mobil Artırılmış Gerçeklik Uygulamalarının Karşılaştırmalı DeğerlendirmesiComparative Assessment Of Mobile Augmented Reality Applications Developed for Visually Impaired PersonsTürkiye Bilişim Vakfı Bilgisayar Bilimleri ve Mühendisliği Dergisi10.54525/tbbmd.124713516:2(94-101)Online publication date: 20-Nov-2023
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Ferrão JDias PSantos BOliveira M(2023)Environment-Aware Rendering and Interaction in Web-Based Augmented RealityJournal of Imaging10.3390/jimaging90300639:3(63)Online publication date: 8-Mar-2023
https://doi.org/10.3390/jimaging9030063
Petitjean TWu ZLaligant ODemonceaux C(2023)QaQ: Robust 6D Pose Estimation via Quality-Assessed RGB-D Fusion2023 18th International Conference on Machine Vision and Applications (MVA)10.23919/MVA57639.2023.10216208(1-7)Online publication date: 23-Jul-2023
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An YYang DGe HLi Y(2023)MFF6D: Multi-Scale Feature Fusion Network for 6D Object Pose Estimation and Refinement2023 42nd Chinese Control Conference (CCC)10.23919/CCC58697.2023.10239966(7292-7297)Online publication date: 24-Jul-2023
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Gao FLi QSun Q(2023)Improving 6D Object Pose Estimation Based on Semantic Segmentation2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC)10.1109/SMC53992.2023.10394339(3763-3769)Online publication date: 1-Oct-2023
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