Rcmsa

The Random Cluster Model for Robust Geometric Fitting
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Objectron1,958
2 years ago21otherJupyter Notebook
Objectron is a dataset of short, object-centric video clips. In addition, the videos also contain AR session metadata including camera poses, sparse point-clouds and planes. In each video, the camera moves around and above the object and captures it from different views. Each object is annotated with a 3D bounding box. The 3D bounding box describes the object’s position, orientation, and dimensions. The dataset contains about 15K annotated video clips and 4M annotated images in the following categories: bikes, books, bottles, cameras, cereal boxes, chairs, cups, laptops, and shoes
Arctic175
4 months ago1otherPython
This is a repository for downloading, processing, visualizing, and training models on the ARCTIC dataset.
Hold41
5 months ago1
This is a repository for HOLD, a method that jointly reconstructs hands and objects from monocular videos without assuming a pre-scanned object template.
3d Reconstruction With Rgbd12
6 years agomitC
a 3D-Reconstruction demo done with Kinect
Rcmsa6
6 years ago1C++
The Random Cluster Model for Robust Geometric Fitting
Tslam5
4 months agogpl-3.0C++
TSlam : SLAM for precise AR application involving substractive object-centric fabrications.
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