Three-dimensional grid model retrieval method based on geometry image

TL;DR: In this article, a three-dimensional grid model retrieval method based on a geometry image was proposed, which comprises the following steps that: mapping a 3D grid model to a spherical surface through an area-preserving parameterization method to obtain a parameterized spherical threedimensional grid; then, mapping the obtained spherical 3D Grid model to an octahedron, and shearing and paving along the edge of the octahedral edge to obtain two-dimensional plane; utilizing three different types of geometrical characteristics of the 3DGrid model to code eachpixel on the

Abstract: The invention discloses a three-dimensional grid model retrieval method based on a geometry image. The method comprises the following steps that: mapping a three-dimensional grid model to a sphericalsurface through an area preserving parameterization method to obtain a parameterized spherical three-dimensional grid; then, mapping the obtained spherical three-dimensional grid to an octahedron, andshearing and paving along the edge of the octahedron to obtain a two-dimensional plane; utilizing three different types of geometrical characteristics of the three-dimensional grid model to code eachpixel on the two-dimensional plane to obtain a geometry image; adopting a standard convolutional neural network structure, taking the geometry image as input, obtaining the characteristics of the geometry image through iterative training learning, and obtaining the characteristics of the corresponding three-dimensional grid model through maximum value mapping; and according to the obtained characteristics of the three-dimensional grid model, calculating a similarity between the three-dimensional grid model to be retrieved and rest three-dimensional grid models in a database, and outputting aretrieval result according to a similarity calculation result.