Learning to Switch CNNs with Model Agnostic Meta Learning for Fine Precision Visual Servoing
Prem Raj,Vinay P. Namboodiri,L. Behera,Prem Raj,Vinay P. Namboodiri,L. Behera
Convolutional Neural Networks (CNNs) have been successfully applied for relative camera pose estimation from labeled image-pair data, without requiring any handengineered features, camera intrinsic parameters or depth information. The trained CNN can be utilized for performing pose based visual servo control (PBVS). One of the ways to improve the quality of visual servo output is to improve the ac...
