About this document

3D Hand Shape and Pose Estimation from Images by R\u0026R Photography is a document available to read on EtoBox.

This document presents a novel end-to-end deep learning method for predicting 3D hand shape and pose from RGB images in uncontrolled environments. The proposed network combines a deep convolutional encoder with a fixed model-based decoder, leveraging weak supervision from 2D joint annotations to improve generalization and performance on challenging datasets. The method achieves state-of-the-art results in 3D pose estimation and produces geometrically valid reconstructions without requiring extensive 3D grou

Author

R\u0026R Photography

Language

EN