The invention relates to the field of
computer graphics,
reverse engineering and additive manufacturing, discloses a multi-
modal fusion and physical constraint three-dimensional
point cloud geometric modeling system and method, and aims at overcoming the defects that traditional three-dimensional reconstruction entity attributes are missing, key features are prone to being lost, semantic understanding does not exist, and process
automation is low. The
system comprises a
point cloud preprocessing module, a semantic segmentation and recognition module, a mixed
geometric reconstruction module, a multi-component
assembly and physical constraint solution module and an
entity model output module. The method comprises the following steps: denoising and sampling an original
point cloud, realizing semantic and instance double segmentation through a Point Net + + network, endowing a geometry-function composite
label, completing
hybrid reconstruction through improved Poisson reconstruction, parameterized B-Rep fitting and standard component
library matching, and outputting a multi-format
engineering available model after physical constraint
verification and automatic correction of a violation model. According to the method, automatic, high-fidelity and high-practicability conversion from the point cloud to the
engineering-level
entity model is realized, and the method is adaptive to multiple industrial application scenes.