A Region Alignment and Matching Method for Fractured Object Reassembly

O. Cakir, Vasif Nabivev
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引用次数: 1

Abstract

Reassembling fractured objects has many popular applications, such as relics restoration and solving puzzle. Mostly corrosions are encountered on the shared regions of the fractured object pieces and this data loss makes the reassembly process much more difficult. In this study a minimum bounding box (MBB) based alignment and key-point based matching method is proposed. Our method first divides every single fractured object piece into regions and generates MBB for each region. Then the key-points are determined based on the distances of the middle surface computed from two opposing surfaces of the MBB of the base region. Matching between the base and the candidate regions is carried out depending on similarities of the distances computed according to key-points. The alignment surface is one of the MBB surfaces of the base region and candidate regions are also regenerated on the alignment surface, so the base and the candidate regions are aligned in this manner. We have tested our alignment and matching method on sample fractured corroded objects. The similarity results show that the proposed method aligns and matches right candidate region from other candidates accurately.
断裂物体重组的区域对齐与匹配方法
断裂物体的重组在文物修复、解谜等方面有着广泛的应用。大多数腐蚀发生在断裂物体碎片的共享区域,这种数据丢失使得重组过程更加困难。本文提出了一种基于最小边界框(MBB)的对齐和基于关键点的匹配方法。该方法首先将单个破碎物块划分为多个区域,并为每个区域生成MBB。然后根据基区MBB的两个相对表面到中间表面的距离确定关键点。根据关键点计算的距离相似度,进行基区与候选区域的匹配。对准面是基区MBB面之一,候选区域也在对准面上再生,因此基区和候选区域以这种方式对准。我们已经在腐蚀破碎的样品上测试了我们的对准和匹配方法。相似度结果表明,该方法能够准确地将候选区域与其他候选区域对齐匹配。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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