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Camera Localization

6 papers with code · Computer Vision

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Geometry-Aware Learning of Maps for Camera Localization

CVPR 2018 NVlabs/geomapnet

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.

3D POSE ESTIMATION CAMERA LOCALIZATION VISUAL ODOMETRY

DSAC - Differentiable RANSAC for Camera Localization

CVPR 2017 cvlab-dresden/DSAC

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.

CAMERA LOCALIZATION

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

CVPR 2018 vislearn/LessMore

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

AUTONOMOUS DRIVING CAMERA LOCALIZATION

Event-based Camera Pose Tracking using a Generative Event Model

7 Oct 2015uzh-rpg/rpg_image_reconstruction_from_events

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

CAMERA LOCALIZATION EVENT-BASED VISION POSE TRACKING

Latent RANSAC

CVPR 2018 rlit/LatentRANSAC

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

CAMERA LOCALIZATION HOMOGRAPHY ESTIMATION

A Generative Map for Image-based Camera Localization

18 Feb 2019Mingpan/generative_map

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

CAMERA LOCALIZATION VISUAL LOCALIZATION VISUAL ODOMETRY