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Found 10 papers, 1 papers with code
PlaneSDF-based Change Detection for Long-term Dense Mapping
Given point clouds of the source and target scenes, we propose a three-step PlaneSDF-based change detection approach: (1) PlaneSDF volumes are instantiated within each scene and registered across scenes using plane poses; 2D height maps and object maps are extracted per volume via height projection and connected component analysis.
Unified Underwater Structure-from-Motion
This paper shows that accurate underwater 3D shape reconstruction is possible using a single camera, observing a target through a refractive interface.
VLASE: Vehicle Localization by Aggregating Semantic Edges
In this paper, we propose VLASE, a framework to use semantic edge features from images to achieve on-road localization.
Joint 3D Reconstruction of a Static Scene and Moving Objects
To robustly classify the features in each frame, we fuse multiple RANSAC-based registration results obtained by registering different groups of the features to different maps, including (1) all the features to the static map, (2) all the features to each object map, and (3) subsets of the features, each forming a segment, to each object map.
3D Object Discovery and Modeling Using Single RGB-D Images Containing Multiple Object Instances
We present a method for unsupervised 3D object discovery, reconstruction, and localization that exploits multiple instances of an identical object contained in a single RGB-D image.
Detecting and Grouping Identical Objects for Region Proposal and Classification
Often multiple instances of an object occur in the same scene, for example in a warehouse.
Global-Local Face Upsampling Network
In our deep network architecture the global and local constraints that define a face can be efficiently modeled and learned end-to-end using training data.
Learning to Remove Multipath Distortions in Time-of-Flight Range Images for a Robotic Arm Setup
We use the robotic arm to automatically collect a large amount of ToF range images containing various multipath distortions.
Joint Geodesic Upsampling of Depth Images
We propose an algorithm utilizing geodesic distances to upsample a low resolution depth image using a registered high resolution color image.
Manhattan Junction Catalogue for Spatial Reasoning of Indoor Scenes
In this paper, we consider the problem of detecting junctions and using them for recovering the spatial layout of an indoor scene.
