ACCURATE VISUAL LOCALIZATION IN OUTDOOR AND INDOOR ENVIRONMENTS EXPLOITING 3D IMAGE SPACES AS SPATIAL REFERENCE
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Summary
The method works in indoor and outdoor environments and does not require the presence of control points or markers, and possibilities for combining them to obtain accurate and robust visual localization in an absolute coordinate frame are shown.
- Type
- article
- Published
- 2018-09-26
- Cited by
- 5
- References
- 20
- Access
- Open access
- OpenAlex
- https://openalex.org/W2893600015
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:55966608
Keywords
Computer vision, Computer science, Artificial intelligence, Position (finance), Frame (networking)
References
- Cloud-Based Geospatial 3D Image Spaces - A Powerful Urban Model for the Smart City
- Hybrid Feature Tracking and User Interaction for Markerless Augmented Reality
- Scalable Recognition with a Vocabulary Tree
- Pose tracking from natural features on mobile phones
- Mobile markerless augmented reality and its application in forensic medicine
- PoseNet: A Convolutional Network for Real-Time 6-DOF Camera Relocalization
- Structure-from-Motion Revisited
- a Systematic Comparison of Direct and Image-Based Georeferencing in Challenging Urban Areas
- Local features for RGBD image matching under viewpoint changes. (Caractéristiques locales pour la mise en correspondance d'images RGBD sous changements de position de la camera)
- Benchmarking 6DOF Outdoor Visual Localization in Changing Conditions
- VidLoc: A Deep Spatio-Temporal Model for 6-DoF Video-Clip Relocalization
- Learning Less is More - 6D Camera Localization via 3D Surface Regression
- Semantic Visual Localization
- Geometry-Aware Learning of Maps for Camera Localization
- Geospatial Augmented Reality for the interactive exploitation of large-scale walkable orthoimage maps in museums
- ROBUST AND ACCURATE IMAGE-BASED GEOREFERENCING EXPLOITING RELATIVE ORIENTATION CONSTRAINTS
- DEVELOPMENT OF A PORTABLE HIGH PERFORMANCE MOBILE MAPPING SYSTEM USING THE ROBOT OPERATING SYSTEM
- A SYSTEMATIC COMPARISON OF DIRECT AND IMAGE-BASED GEOREFERENCING IN CHALLENGING URBAN AREAS
Cited by
- IMPLEMENTATION AND FIRST EVALUATION OF AN INDOOR MAPPING APPLICATION USING SMARTPHONES AND AR FRAMEWORKS
- PERFORMANCE EVALUATION OF A MOBILE MAPPING APPLICATION USING SMARTPHONES AND AUGMENTED REALITY FRAMEWORKS
- LONG-TERM VISUAL LOCALIZATION IN LARGE SCALE URBAN ENVIRONMENTS EXPLOITING STREET LEVEL IMAGERY
- Integrated georeferencing for precise depth map generation exploiting multi-camera image sequences from mobile mapping
- Physical Environment Reconstruction Beyond Light Polarization for Coherent Augmented Reality Scene on Mobile Devices
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