The author proposes a novel Single-to-Dual-view adaptation (S2DHand) solution that adapts a pre-trained single-view estimator to dual views, eliminating the need for multi-view annotations and camera parameters.
提案されたS2DHandソリューションは、単一ビューの推定器を二重ビューに適応させることで、手のポーズ推定の性能を大幅に向上させます。
3D hand pose estimation benefits from single-to-dual-view adaptation for improved accuracy and flexibility.