When Can We Use KinectFusion for Ground Truth Acquisition

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RGB-D datasets using microsoft kinect or similar sensors: a survey (2016, methodology): “…Modeling RGB-D [104], Cornell Activity [47, 92], Cornell RGB-D [48], DGait [12], Daily Activities with occlusions [1], Heidelberg University Scenes [63], Microsoft 7-scenes [78], MobileRGBD [96], MPII Multi-Kinect [93], MSR Action3D Dataset [97], MSR 3D Online Action [103], MSRGesture3D [50], DAFT…”
Kinect range sensing: Structured-light versus Time-of-Flight Kinect (2015, background): “[38], also called “HCI Box”, consists of several object arranged in a 1 × 1 × 0.”
Deep Depth Completion of a Single RGB-D Image (2018, background): “Though the completions are not always perfect, they have several favorable properties for training a deep network for our problem [52].”
RGBD Datasets: Past, Present and Future (2016, methodology): “Some datasets [89, 74, 118, 30] use manually verified tracking from the Kinect itself as a ground truth pose.”