Alignment of 3D woodblock geometrical models and 2D orthographic projection image

TL;DR

This paper introduces a unified image processing algorithm that improves the alignment of 3D woodblock models with 2D images, aiding digital preservation of Vietnamese cultural heritage.

Contribution

It presents a novel method combining structure-based and density-based techniques for precise registration of 3D models and 2D images in cultural heritage preservation.

Findings

Enhanced registration accuracy demonstrated on large-scale Han-Nom datasets.

The method reduces disocclusions and improves shape and stroke alignment.

Experimental results show significant performance improvements.

Abstract

The accurate alignment of 3D woodblock geometrical models with 2D orthographic projection images presents a significant challenge in the digital preservation of Vietnamese cultural heritage. This paper proposes a unified image processing algorithm to address this issue, enhancing the registration quality between 3D woodblock models and their 2D representations. The method includes determining the plane of the 3D character model, establishing a transformation matrix to align this plane with the 2D printed image plane, and creating a parallel-projected depth map for precise alignment. This process minimizes disocclusions and ensures that character shapes and strokes are correctly positioned. Experimental results highlight the importance of structure-based comparisons to optimize alignment for large-scale Han-Nom character datasets. The proposed approach, combining density-based and structure-based methods, demonstrates improved registration performance, offering an effective normalization scheme for digital heritage preservation.