Lamar: Benchmarking localization and mapping for augmented reality
Localization and mapping is the foundational technology for augmented reality (AR) that
enables sharing and persistence of digital content in the real world. While significant …
enables sharing and persistence of digital content in the real world. While significant …
Snap: Self-supervised neural maps for visual positioning and semantic understanding
Semantic 2D maps are commonly used by humans and machines for navigation purposes,
whether it's walking or driving. However, these maps have limitations: they lack detail, often …
whether it's walking or driving. However, these maps have limitations: they lack detail, often …
Ldp-feat: Image features with local differential privacy
F Pittaluga, B Zhuang - Proceedings of the IEEE/CVF …, 2023 - openaccess.thecvf.com
Modern computer vision services often require users to share raw feature descriptors with an
untrusted server. This presents an inherent privacy risk, as raw descriptors may be used to …
untrusted server. This presents an inherent privacy risk, as raw descriptors may be used to …
Segloc: Learning segmentation-based representations for privacy-preserving visual localization
M Pietrantoni, M Humenberger… - Proceedings of the …, 2023 - openaccess.thecvf.com
Inspired by properties of semantic segmentation, in this paper we investigate how to
leverage robust image segmentation in the context of privacy-preserving visual localization …
leverage robust image segmentation in the context of privacy-preserving visual localization …
Is geometry enough for matching in visual localization?
In this paper, we propose to go beyond the well-established approach to vision-based
localization that relies on visual descriptor matching between a query image and a 3D point …
localization that relies on visual descriptor matching between a query image and a 3D point …
Ninjadesc: Content-concealing visual descriptors via adversarial learning
In the light of recent analyses on privacy-concerning scene revelation from visual
descriptors, we develop descriptors that conceal the input image content. In particular, we …
descriptors, we develop descriptors that conceal the input image content. In particular, we …
Privacy Preserving Localization via Coordinate Permutations
Recent methods on privacy-preserving image-based localization use a random line
parameterization to protect the privacy of query images and database maps. The lifting of …
parameterization to protect the privacy of query images and database maps. The lifting of …
Privacy-preserving representations are not enough: Recovering scene content from camera poses
Visual localization is the task of estimating the camera pose from which a given image was
taken and is central to several 3D computer vision applications. With the rapid growth in the …
taken and is central to several 3D computer vision applications. With the rapid growth in the …
How privacy-preserving are line clouds? recovering scene details from 3d lines
Visual localization is the problem of estimating the camera pose of a given image with
respect to a known scene. Visual localization algorithms are a fundamental building block in …
respect to a known scene. Visual localization algorithms are a fundamental building block in …
Privacy-preserving image features via adversarial affine subspace embeddings
M Dusmanu, JL Schonberger… - Proceedings of the …, 2021 - openaccess.thecvf.com
Many computer vision systems require users to upload image features to the cloud for
processing and storage. These features can be exploited to recover sensitive information …
processing and storage. These features can be exploited to recover sensitive information …