Dot to dot, simple or sophisticated: a survey on shape reconstruction algorithms
Work
Year: 2023
Type: article
Source: Acta Informatica
Institution K.N.Toosi University of Technology
Cites: 45
Cited by: 1
Related to: 10
FWCI: 0.233
Citation percentile (by year/subfield): 44.03
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Sustainable Development Goal Sustainable cities and communities
Open Access status: closed