Papers Camera Relocalization
“Camera Relocalization” 태그가 달린 논문 59편 · 필터 해제
Let's Take This Online: Adapting Scene Coordinate Regression Network Predictions for Online RGB-D Camera Relocalisation
Many applications require a camera to be relocalised online, without expensive offline training on the target scene. Whilst both keyframe and sparse keypoint matching methods can be used online, the former often fail awa…
Camera RelocalizationClusteringregressionRelative Geometry-Aware Siamese Neural Network for 6DOF Camera Relocalization
6DOF camera relocalization is an important component of autonomous driving and navigation. Deep learning has recently emerged as a promising technique to tackle this problem. In this paper, we present a novel relative ge…
Autonomous DrivingCamera RelocalizationDeep LearningMetric Learning+1Hinted Networks
We present Hinted Networks: a collection of architectural transformations for improving the accuracies of neural network models for regression tasks, through the injection of a prior for the output prediction (i.e. a hin…
Camera RelocalizationIndoor LocalizationregressionScene Coordinate Regression with Angle-Based Reprojection Loss for Camera Relocalization
Image-based camera relocalization is an important problem in computer vision and robotics. Recent works utilize convolutional neural networks (CNNs) to regress for pixels in a query image their corresponding 3D world coo…
Camera RelocalizationregressionDiversity in Machine Learning
Machine learning methods have achieved good performance and been widely applied in various real-world applications. They can learn the model adaptively and be better fit for special requirements of different tasks. Gener…
BIG-bench Machine LearningCamera RelocalizationDiversityImage Segmentation+4Full-Frame Scene Coordinate Regression for Image-Based Localization
Image-based localization, or camera relocalization, is a fundamental problem in computer vision and robotics, and it refers to estimating camera pose from an image. Recent state-of-the-art approaches use learning based m…
Camera RelocalizationData AugmentationDecoderImage-Based Localization+1Exploiting Points and Lines in Regression Forests for RGB-D Camera Relocalization
Camera relocalization plays a vital role in many robotics and computer vision tasks, such as global localization, recovery from tracking failure and loop closure detection. Recent random forests based methods exploit ran…
Camera RelocalizationLoop Closure DetectionregressionBacktracking Regression Forests for Accurate Camera Relocalization
Camera relocalization plays a vital role in many robotics and computer vision tasks, such as global localization, recovery from tracking failure, and loop closure detection. Recent random forests based methods directly p…
Camera RelocalizationLoop Closure DetectionregressionSimultaneous Localization and MappingTowards CNN map representation and compression for camera relocalisation
This paper presents a study on the use of Convolutional Neural Networks for camera relocalisation and its application to map compression. We follow state of the art visual relocalisation results and evaluate the response…
Camera RelocalizationCamera Relocalization by Computing Pairwise Relative Poses Using Convolutional Neural Network
We propose a new deep learning based approach for camera relocalization. Our approach localizes a given query image by using a convolutional neural network (CNN) for first retrieving similar database images and then pred…
Camera RelocalizationPose EstimationTowards CNN Map Compression for camera relocalisation
This paper presents a study on the use of Convolutional Neural Networks for camera relocalisation and its application to map compression. We follow state of the art visual relocalisation results and evaluate response to …
Camera RelocalizationPositionOn-the-Fly Adaptation of Regression Forests for Online Camera Relocalisation
Camera relocalisation is an important problem in computer vision, with applications in simultaneous localisation and mapping, virtual/augmented reality and navigation. Common techniques either match the current image aga…
Camera Relocalizationregression6D Dynamic Camera Relocalization From Single Reference Image
Dynamic relocalization of 6D camera pose from single reference image is a costly and challenging task that requires delicate hand-eye calibration and precision positioning platform to do 3D mechanical rotation and transl…
Camera RelocalizationTranslationLearning to Navigate the Energy Landscape
In this paper, we present a novel and efficient architecture for addressing computer vision problems that use `Analysis by Synthesis'. Analysis by synthesis involves the minimization of the reconstruction error which is …
Camera RelocalizationHand Pose EstimationImage RetrievalNavigate+2Modelling Uncertainty in Deep Learning for Camera Relocalization
We present a robust and real-time monocular six degree of freedom visual relocalization system. We use a Bayesian convolutional neural network to regress the 6-DOF camera pose from a single RGB image. It is trained in an…
Camera RelocalizationDeep LearningExploiting Uncertainty in Regression Forests for Accurate Camera Relocalization
Recent advances in camera relocalization use predictions from a regression forest to guide the camera pose optimization procedure. In these methods, each tree associates one pixel with a point in the scene's 3D world coo…
Camera RelocalizationregressionPoseNet: A Convolutional Network for Real-Time 6-DOF Camera Relocalization
We present a robust and real-time monocular six degree of freedom relocalization system. Our system trains a convolutional neural network to regress the 6-DOF camera pose from a single RGB image in an end-to-end manner w…
Camera RelocalizationTransfer LearningMulti-Output Learning for Camera Relocalization
We address the problem of estimating the pose of a cam- era relative to a known 3D scene from a single RGB-D frame. We formulate this problem as inversion of the generative rendering procedure, i.e., we want to find the …
3D ReconstructionCamera RelocalizationScene Coordinate Regression Forests for Camera Relocalization in RGB-D Images
We address the problem of inferring the pose of an RGB-D camera relative to a known 3D scene, given only a single acquired image. Our approach employs a regression forest that is capable of inferring an estimate of each …
Camera Relocalizationregression