{"url":"/dataset/ict-3dhp","name":"ICT-3DHP","full_name":null,"description_markdown":"ICT-3DHP is collected using the Microsoft Kinect sensor and contains RGB images and depth maps of about 14k frames, divided in 10 sequences. The image resolution is 640 × 480 pixels. An hardware sensor (Polhemus Fastrack) is exploited to generate the ground truth annotation. The device is placed on a white cap worn by each subject, visible in both RGB and depth frames.\r\n\r\nSource: [POSEidon: Face-from-Depth for Driver Pose Estimation](https://arxiv.org/pdf/1611.10195v3.pdf)","description_withheld":null,"homepage":"https://ieeexplore.ieee.org/document/6247980","introduced_date":null,"introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[],"tasks":[{"name":"Face Reconstruction","url":"/task/face-reconstruction","datasets_with_task":"/datasets/task/face-reconstruction"},{"name":"Pose Estimation","url":"/task/pose-estimation","datasets_with_task":"/datasets/task/pose-estimation"},{"name":"Head Pose Estimation","url":"/task/head-pose-estimation","datasets_with_task":"/datasets/task/head-pose-estimation"}],"languages":[],"variants":["ICT-3DHP"],"data_loaders":[],"num_papers_in_archive":0,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}