Abstract
A new study on Robotics - Robotics and Automation is now available. According to news reporting out of Hangzhou, People’s Republic of China, by NewsRx editors, research stated, “Traditional geometric registration based estimation methods only exploit the CAD model implicitly, which leads to their dependence on observation quality and deficiency to occlusion.To address the problem,the letter proposes a bidirectional correspondence prediction network with a point-wise attention-aware mechanism. This network not only requires the model points to predict the correspondence but also explicitly models the geometric similarities between observations and the model prior.”
NETL
NSTL
IEEE