首页|Researchers from Tarim University Discuss Findings in Intelligent Systems (Point cloud completion network for 3D shapes with morphologically diverse structures)

Researchers from Tarim University Discuss Findings in Intelligent Systems (Point cloud completion network for 3D shapes with morphologically diverse structures)

扫码查看
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators publish new report on in telligent systems. According to news originating from Tarim University by NewsRx editors, the research stated, "Point cloud completion is a challenging task tha t involves predicting missing parts in incomplete 3D shapes. While existing stra tegies have shown effectiveness on point cloud datasets with regular shapes and continuous surfaces, they struggled to manage the morphologically diverse struct ures commonly encountered in real-world scenarios." Funders for this research include The National Natural Science Foundation of Chi na; The First-class Undergraduate Programmes Foundation in Computer Graphics At Tarim University; The First-class Major in The Internet of Things Engineering At Tarim University.

Tarim UniversityIntelligent SystemsM achine Learning

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(MAY.30)