Article
Efficient Unsupervised Clustering of Facial Geometry and Head Orientation Using 2D Landmarks
2026-02-11
Abstract excerpt
<title>Abstract</title> <p>Facial geometry and head orientation play a crucial role in understanding human expressions and interactions. This study proposes an efficient, interpretable, and real-time framework for unsupervised clustering of facial geometry and head orientation using 2D geometric descriptors derived from dlib’s 68-point landmarks. The pipeline computes handcrafted descriptors, including lip aspect...
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Identifiers and source
- Literature Corpus work
- 541f6195-a042-5ed0-b86d-444f62e7f132
- DOI
- 10.21203/rs.3.rs-8719610/v1
