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arXiv Computer Vision By Zesheng Wang, Alexandre Bruckert, Pierre Lebreton, Patrick Le Callet, Yante Li, Guoying Zhao

Capturing Dynamics: The 4D Facial Expression Intensity Dataset

Read the original on arXiv Computer Vision →

The paper introduces the 4D Facial Expression Intensity Dataset (4DFEID), comprising 2,869 mesh sequences that capture 3D, temporally continuous facial expressions with varied peak intensities and identities. Subjective intensity ratings were collected via crowdsourcing, yielding over 90,000 Likert-scale annotations. Baseline experiments show that spatial‑temporal graph models outperform traditional frame‑aggregation methods, highlighting the dataset’s value for dynamic 3D expression analysis.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Computer Vision.

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