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 )

Datasets


Most implemented papers

DeepFlux for Skeletons in the Wild

YukangWang/DeepFlux CVPR 2019

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

sunsmarterjie/SDL-Skeleton 8 Nov 2020

Conventional networks for object skeleton detection are usually hand-crafted.

Experimental implementation of skeleton tracking for collision avoidance in collaborative robotics

matteoforlini/human_obstacle_avoidance The International Journal of Advanced Manufacturing Technology 2024

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.