Deep Learning: Fingertip Position Prediction Using VGG16 (2023)
Deep Learning
This project utilizes a CNN model based on VGG16 with a customized fusion layer to predict the positions of fingertip tips from RGB-D images of a robotic hand captured by three camera views. Extensive data preprocessing and transformations were conducted to ensure the robustness and accuracy of the model. By effectively integrating multi-view spatial information, the system achieves precise and reliable fingertip position predictions, demonstrating its potential for advanced robotic hand applications.