Papers Camera Localization
“Camera Localization” 태그가 달린 논문 130편 · 필터 해제
CVLNet: Cross-View Semantic Correspondence Learning for Video-based Camera Localization
This paper tackles the problem of Cross-view Video-based camera Localization (CVL). The task is to localize a query camera by leveraging information from its past observations, i.e., a continuous sequence of images obser…
Camera LocalizationImage-Based LocalizationSemantic correspondenceStructure PLP-SLAM: Efficient Sparse Mapping and Localization using Point, Line and Plane for Monocular, RGB-D and Stereo Cameras
This paper presents a visual SLAM system that uses both points and lines for robust camera localization, and simultaneously performs a piece-wise planar reconstruction (PPR) of the environment to provide a structural map…
Camera LocalizationPose TrackingBeyond Cross-view Image Retrieval: Highly Accurate Vehicle Localization Using Satellite Image
This paper addresses the problem of vehicle-mounted camera localization by matching a ground-level image with an overhead-view satellite map. Existing methods often treat this problem as cross-view image retrieval, and u…
Camera LocalizationImage RetrievalPose EstimationRetrievalDeep Camera Pose Regression Using Pseudo-LiDAR
An accurate and robust large-scale localization system is an integral component for active areas of research such as autonomous vehicles and augmented reality. To this end, many learning algorithms have been proposed tha…
3D Object DetectionAutonomous VehiclesCamera Localizationobject-detection+2A Critical Analysis of Image-based Camera Pose Estimation Techniques
Camera, and associated with its objects within the field of view, localization could benefit many computer vision fields, such as autonomous driving, robot navigation, and augmented reality (AR). In this survey, we first…
Autonomous DrivingCamera LocalizationCamera Pose EstimationPose Estimation+2Decoupling Makes Weakly Supervised Local Feature Better
Weakly supervised learning can help local feature methods to overcome the obstacle of acquiring a large-scale dataset with densely labeled correspondences. However, since weak supervision cannot distinguish the losses ca…
Camera LocalizationImage MatchingWeakly-supervised LearningLearning To Detect Scene Landmarks for Camera Localization
Modern camera localization methods that use image retrieval, feature matching, and 3D structure-based pose estimation require long-term storage of numerous scene images or a vast amount of image features. This can ma…
Camera LocalizationImage RetrievalPose EstimationRetrievalCrossLocate: Cross-modal Large-scale Visual Geo-Localization in Natural Environments using Rendered Modalities
We propose a novel approach to visual geo-localization in natural environments. This is a challenging problem due to vast localization areas, the variable appearance of outdoor environments and the scarcity of available …
Camera LocalizationCamera Pose Estimationgeo-localizationImage-Based Localization+4NinjaDesc: 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 propose an adversarial learning framework for…
Camera LocalizationImage ReconstructionRADA: Robust Adversarial Data Augmentation for Camera Localization in Challenging Weather
Camera localization is a fundamental and crucial problem for many robotic applications. In recent years, using deep-learning for camera-based localization has become a popular research direction. However, they lack robus…
Camera LocalizationData AugmentationS3LAM: Structured Scene SLAM
We propose a new SLAM system that uses the semantic segmentation of objects and structures in the scene. Semantic information is relevant as it contains high level information which may make SLAM more accurate and robust…
Camera LocalizationCamera Pose EstimationPose EstimationSemantic SegmentationMonocular Camera Localization for Automated Vehicles Using Image Retrieval
We address the problem of finding the current position and heading angle of an autonomous vehicle in real-time using a single camera. Compared to methods which require LiDARs and high definition (HD) 3D maps in real-time…
Camera LocalizationImage RetrievalRetrievalContinual Learning for Image-Based Camera Localization
For several emerging technologies such as augmented reality, autonomous driving and robotics, visual localization is a critical component. Directly regressing camera pose/3D scene coordinates from the input image using d…
Autonomous DrivingCamera LocalizationContinual LearningVisual LocalizationDistillPose: Lightweight Camera Localization Using Auxiliary Learning
We propose a lightweight retrieval-based pipeline to predict 6DOF camera poses from RGB images. Our pipeline uses a convolutional neural network (CNN) to encode a query image as a feature vector. A nearest neighbor looku…
Auxiliary LearningCamera LocalizationInformation RetrievalPose Prediction+1Uncertainty-Aware Camera Pose Estimation from Points and Lines
Perspective-n-Point-and-Line (P$n$PL) algorithms aim at fast, accurate, and robust camera localization with respect to a 3D model from 2D-3D feature correspondences, being a major part of modern robotic and AR/VR systems…
Camera LocalizationCamera Pose EstimationPose EstimationTranslation+1Video-Based Camera Localization Using Anchor View Detection and Recursive 3D Reconstruction
In this paper we introduce a new camera localization strategy designed for image sequences captured in challenging industrial situations such as industrial parts inspection. To deal with peculiar appearances that hurt st…
3D ReconstructionCamera LocalizationDeep auxiliary learning for visual localization using colorization task
Visual localization is one of the most important components for robotics and autonomous driving. Recently, inspiring results have been shown with CNN-based methods which provide a direct formulation to end-to-end regress…
Autonomous DrivingAuxiliary LearningCamera LocalizationColorization+3LaLaLoc: Latent Layout Localisation in Dynamic, Unvisited Environments
We present LaLaLoc to localise in environments without the need for prior visitation, and in a manner that is robust to large changes in scene appearance, such as a full rearrangement of furniture. Specifically, LaLaLoc …
Camera LocalizationIndoor LocalizationPose EstimationVisual LocalizationEnd-to-end learning of keypoint detection and matching for relative pose estimation
We propose a new method for estimating the relative pose between two images, where we jointly learn keypoint detection, description extraction, matching and robust pose estimation. While our architecture follows the trad…
Camera LocalizationKeypoint DetectionPose EstimationVisual LocalizationLearning Camera Localization via Dense Scene Matching
Camera localization aims to estimate 6 DoF camera poses from RGB images. Traditional methods detect and match interest points between a query image and a pre-built 3D model. Recent learning-based approaches encode scene …
Camera Localization