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How Privacy-Preserving are Line Clouds? Recovering Scene Details from 3D
  Lines

How Privacy-Preserving are Line Clouds? Recovering Scene Details from 3D Lines

8 March 2021
Kunal Chelani
Fredrik Kahl
Torsten Sattler
    3DPC
ArXivPDFHTML

Papers citing "How Privacy-Preserving are Line Clouds? Recovering Scene Details from 3D Lines"

5 / 5 papers shown
Title
Obfuscation Based Privacy Preserving Representations are Recoverable Using Neighborhood Information
Obfuscation Based Privacy Preserving Representations are Recoverable Using Neighborhood Information
Kunal Chelani
Assia Benbihi
Fredrik Kahl
Torsten Sattler
Zuzana Kukelova
3DPC
36
0
0
17 Sep 2024
An Outlook into the Future of Egocentric Vision
An Outlook into the Future of Egocentric Vision
Chiara Plizzari
Gabriele Goletto
Antonino Furnari
Siddhant Bansal
Francesco Ragusa
G. Farinella
Dima Damen
Tatiana Tommasi
EgoV
40
38
0
14 Aug 2023
Privacy-Preserving Representations are not Enough -- Recovering Scene
  Content from Camera Poses
Privacy-Preserving Representations are not Enough -- Recovering Scene Content from Camera Poses
Kunal Chelani
Torsten Sattler
Fredrik Kahl
Zuzana Kukelova
25
7
0
08 May 2023
User configurable 3D object regeneration for spatial privacy
User configurable 3D object regeneration for spatial privacy
Arpit Nama
Amaya Dharmasiri
Kanchana Thilakarathna
Albert Zomaya
Jaybie A. de Guzman
32
4
0
10 Aug 2021
ORB-SLAM2: an Open-Source SLAM System for Monocular, Stereo and RGB-D
  Cameras
ORB-SLAM2: an Open-Source SLAM System for Monocular, Stereo and RGB-D Cameras
Raul Mur-Artal
Juan D. Tardós
204
5,375
0
20 Oct 2016
1