Camera Localization

24 papers with code • 1 benchmarks • 3 datasets

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Most implemented papers

DSAC - Differentiable RANSAC for Camera Localization

cvlab-dresden/DSAC CVPR 2017

The most promising approach is inspired by reinforcement learning, namely to replace the deterministic hypothesis selection by a probabilistic selection for which we can derive the expected loss w. r. t.

Neural-Guided RANSAC: Learning Where to Sample Model Hypotheses

vislearn/ngransac ICCV 2019

In contrast, we learn hypothesis search in a principled fashion that lets us optimize an arbitrary task loss during training, leading to large improvements on classic computer vision tasks.

Event-based Camera Pose Tracking using a Generative Event Model

uzh-rpg/rpg_image_reconstruction_from_events 7 Oct 2015

Event-based vision sensors mimic the operation of biological retina and they represent a major paradigm shift from traditional cameras.

Panoramic Annular Localizer: Tackling the Variation Challenges of Outdoor Localization Using Panoramic Annular Images and Active Deep Descriptors

chengricky/PAL 14 May 2019

The panoramic annular images captured by the single camera are processed and fed into the NetVLAD network to form the active deep descriptor, and sequential matching is utilized to generate the localization result.

Mapping and Localization from Planar Markers

elliotwoods/ArUco-MarkerMapper 1 Jun 2016

Squared planar markers are a popular tool for fast, accurate and robust camera localization, but its use is frequently limited to a single marker, or at most, to a small set of them for which their relative pose is known beforehand.

Image Based Camera Localization: an Overview

obo/lego 12 Oct 2016

In this paper, an overview of image based camera localization is presented.

Learning Less is More - 6D Camera Localization via 3D Surface Regression

vislearn/LessMore CVPR 2018

Popular research areas like autonomous driving and augmented reality have renewed the interest in image-based camera localization.

Geometry-Aware Learning of Maps for Camera Localization

NVlabs/geomapnet CVPR 2018

Maps are a key component in image-based camera localization and visual SLAM systems: they are used to establish geometric constraints between images, correct drift in relative pose estimation, and relocalize cameras after lost tracking.

Latent RANSAC

rlit/LatentRANSAC CVPR 2018

We present a method that can evaluate a RANSAC hypothesis in constant time, i. e. independent of the size of the data.

A Generative Map for Image-based Camera Localization

Mingpan/generative_map 18 Feb 2019

For localization, we show that Generative Map achieves comparable performance with current regression models.