Papers Loop Closure Detection
“Loop Closure Detection” 태그가 달린 논문 89편 · 필터 해제
Backtracking 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 MappingBeyond SIFT using Binary features for Loop Closure Detection
In this paper a binary feature based Loop Closure Detection (LCD) method is proposed, which for the first time achieves higher precision-recall (PR) performance compared with state-of-the-art SIFT feature based approache…
Loop Closure DetectionOriginal Loop-closure Detection Algorithm for Monocular vSLAM
Vision-based simultaneous localization and mapping (vSLAM) is a well-established problem in mobile robotics and monocular vSLAM is one of the most challenging variations of that problem nowadays. In this work we study on…
Loop Closure DetectionSimultaneous Localization and MappingMILD: Multi-Index hashing for Loop closure Detection
Loop Closure Detection (LCD) has been proved to be extremely useful in global consistent visual Simultaneously Localization and Mapping (SLAM) and appearance-based robot relocalization. Methods exploiting binary features…
Loop Closure DetectionMulti-Model Hypothesize-and-Verify Approach for Incremental Loop Closure Verification
Loop closure detection, which is the task of identifying locations revisited by a robot in a sequence of odometry and perceptual observations, is typically formulated as a visual place recognition (VPR) task. However, ev…
Loop Closure DetectionRobot NavigationVisual OdometryVisual Place RecognitionLearning Binary Features Online from Motion Dynamics for Incremental Loop-Closure Detection and Place Recognition
This paper proposes a simple yet effective approach to learn visual features online for improving loop-closure detection and place recognition, based on bag-of-words frameworks. The approach learns a codeword in bag-of-w…
Loop Closure DetectionIncremental Loop Closure Verification by Guided Sampling
Loop closure detection, the task of identifying locations revisited by a robot in a sequence of odometry and perceptual observations, is typically formulated as a combination of two subtasks: (1) bag-of-words image retri…
Image RetrievalLoop Closure DetectionRetrievalConvolutional Neural Network-Based Image Representation for Visual Loop Closure Detection
Deep convolutional neural networks (CNN) have recently been shown in many computer vision and pattern recog- nition applications to outperform by a significant margin state- of-the-art solutions that use traditional hand…
CPUGPULoop Closure DetectionSimultaneous Localization and MappingConstructing Topological Maps using Markov Random Fields and Loop-Closure Detection
We present a system which constructs a topological map of an environment given a sequence of images. This system includes a novel image similarity score which uses dynamic programming to match images using both the appea…
Loop Closure Detection