Flattening Surface Based On Using Contour Estimating Subdivision Surface

TL;DR

This paper introduces a method for flattening distorted surface images of 3D objects by estimating surface subdivision and transforming grid blocks into rectangles, aiding in perspective distortion correction.

Contribution

It proposes a novel approach to approximate surface flattening using contour-based subdivision and inverse transformations, addressing perspective distortion in surface projection.

Findings

Method effectively flattens surface distortions in 3D object images.

Demonstrates feasibility and limitations of the contour-based flattening approach.

Provides a practical solution for bending page flattening applications.

Abstract

In the process of projecting the surface of a three-dimensional object onto a two-dimensional surface, due to the perspective distortion, the image on the surface of the object will have different degrees of distortion according to the level of the surface curvature. This paper presents an imprecise method for flattening this type of distortion on the surface of a regularly curved body. The main idea of this method is to roughly estimate the gridded surface subdivision that can be used to describe the surface of the three-dimensional object through the contour curve of the two-dimensional image of the object. Then, take each grid block with different sizes and shapes inversely transformed into a rectangle with exactly the same shape and size. Finally, each of the same rectangles is splicing and recombining in turn to obtain a roughly flat rectangle. This paper will introduce and show the specific process and results of using this method to solve the problem of bending page flattening, then demonstrate the feasibility and limitations of this method.