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Loop Closure Detection

Loop closure detection is the process of detecting whether an agent has returned to a previously visited location.

( Image credit: Backtracking Regression Forests for Accurate Camera Relocalization )

Papers

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Showing 31–40 of 89 papers

TitleStatusHype
Kernel learning for visual perceptionCode0
Fast Loop Closure Detection via Binary Content—0
Closing the Loop: Graph Networks to Unify Semantic Objects and Visual Features for Multi-object Scenes—0
Exploring Emerging Trends and Research Opportunities in Visual Place Recognition—0
Bi-directional Loop Closure for Visual SLAM—0
Exploiting Points and Lines in Regression Forests for RGB-D Camera Relocalization—0
Beyond SIFT using Binary features for Loop Closure Detection—0
DSC: Deep Scan Context Descriptor for Large-Scale Place Recognition—0
Beyond ANN: Exploiting Structural Knowledge for Efficient Place Recognition—0
Attacking the Loop: Adversarial Attacks on Graph-based Loop Closure Detection—0
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