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Digital Twin Tracking Dataset (DTTD): A New RGB+Depth 3D Dataset for Longer-Range Object Tracking Applications.

2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)(2023)

Cited 12|Views71
Key words
accurate 3D object tracking,augmented reality,commercial motion capturing system,data generation,dataset-level analysis,depth sensors,digital counterparts,Digital Twin Tracking Dataset,digital-twin applications,digital-twin system,DTTD,future object tracking methods,ground-truth object,input source,longer-range object tracking applications,Microsoft Azure Kinect,mm localization accuracy,model evaluation pipeline,model-level analysis,off-the-shelf objects,per-pixel semantic segmentation,performance metrics,point cloud noise reduction,real objects,real-time 3D object tracking,RGB+depth 3D dataset,RGB-D dataset,rich textures,robotic grasping,time-of-flight camera,ToF,UI/UX
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