Rethinking scene representation: A saliency-driven hierarchical multi-scale resampling for RGB-D scene point cloud in robotic applications-Reference-Cited by-同舟云学术

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Rethinking scene representation: A saliency-driven hierarchical multi-scale resampling for RGB-D scene point cloud in robotic applications

Published:2024-06 Issue: Volume:243 Page:122881
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Li Xurui,Liu Guangshuai^ORCID,Sun Si,Li Bailin,Yi Wenyu

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference56 articles.

1. Saliency detection using maximum symmetric surround;Achanta,2010

2. Frequency-tuned salient region detection;Achanta,2009

3. On normals and projection operators for surfaces defined by point sets;Alexa;In PBG,2004

4. Deep learning-based method for vision-guided robotic grasping of unknown objects;Bergamini;Advanced Engineering Informatics,2020

5. Yale-CMU-Berkeley dataset for robotic manipulation research;Calli;The International Journal of Robotics Research,2017

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1. Target reconstruction and process parameter decision-making for bolt intelligent assembly based on robot and multi-camera;Expert Systems with Applications;2024-12

2. Enhancing point cloud registration with transformer: cultural heritage protection of the Terracotta Warriors;Heritage Science;2024-08-29

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