Search Results for author: Kunal Chelani

Found 4 papers, 4 papers with code

Privacy-Preserving Representations are not Enough -- Recovering Scene Content from Camera Poses

1 code implementation8 May 2023 Kunal Chelani, Torsten Sattler, Fredrik Kahl, Zuzana Kukelova

In this paper, we show that an attacker can learn about details of a scene without any access by simply querying a localization service.

Privacy Preserving Visual Localization

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

1 code implementation CVPR 2021 Kunal Chelani, Fredrik Kahl, Torsten Sattler

To address the resulting potential privacy risks for user-generated content, it was recently proposed to lift point clouds to line clouds by replacing 3D points by randomly oriented 3D lines passing through these points.

Pose Estimation Privacy Preserving +2

LiDAR-Camera Calibration using 3D-3D Point correspondences

5 code implementations27 May 2017 Ankit Dhall, Kunal Chelani, Vishnu Radhakrishnan, K. M. Krishna

With the advent of autonomous vehicles, LiDAR and cameras have become an indispensable combination of sensors.

Autonomous Vehicles Camera Calibration +1

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