Object Skeleton Detection
3 papers with code • 1 benchmarks • 1 datasets
Object skeleton detection is the task of detecting the skeleton of an object in an image.
( Image credit: DeepFlux for Skeletons in the Wild )
Most implemented papers
DeepFlux for Skeletons in the Wild
In the present article, we depart from this strategy by training a CNN to predict a two-dimensional vector field, which maps each scene point to a candidate skeleton pixel, in the spirit of flux-based skeletonization algorithms.
Adaptive Linear Span Network for Object Skeleton Detection
Conventional networks for object skeleton detection are usually hand-crafted.
Experimental implementation of skeleton tracking for collision avoidance in collaborative robotics
In this paper, an obstacle avoidance algorithm is tested using a sensor system for real-time human detection; the operator represents a potential dynamic obstacle that can interfere with the robot motion.