Parts-Based Articulated Object Localization in Clutter Using Belief Propagation
Jana Pavlasek,Stanley Lewis,Karthik Desingh,Odest Chadwicke Jenkins,Jana Pavlasek,Stanley Lewis,Karthik Desingh,Odest Chadwicke Jenkins
Robots working in human environments must be able to perceive and act on challenging objects with articulations, such as a pile of tools. Articulated objects increase the dimensionality of the pose estimation problem, and partial observations under clutter create additional challenges. To address this problem, we present a generative-discriminative parts-based recognition and localization method f...
