提出无需假设形状的碎片对齐方法，提升真实考古拼图重建精度
Pairwise Alignment & Compatibility for Arbitrarily Irregular Image Fragments
- 融合几何与视觉信息，无须预设碎片形状和尺寸
- 在RePAIR 2D数据集上实现顶尖的邻域精度与召回率
- 适用于真实考古碎片等不规则拼图场景
配对兼容性计算是多数碎片重建算法的核心，尤其在解决各类拼图问题时。然而，现有方法大多无法处理真实拼图中常见的复杂几何形态，且依赖碎片的受限形状。本文提出一种高效的混合（几何与视觉）方法，可在无形状、尺寸或图像内容假设下，计算碎片对的最优对齐。我们构建了一个新图像碎片数据集，采用新颖的图像分割方法与模拟真实考古侵蚀的正式腐蚀模型生成，并设计了兼容性任务评估指标。将所提兼容性方法嵌入考古拼图求解框架后，在RePAIR 2D数据集上实现了当前最优的邻域级精度与召回率，直接体现兼容性性能提升。
原文摘要 · Abstract (English)
Pairwise compatibility calculation is at the core of most fragments-reconstruction algorithms, in particular those designed to solve different types of the jigsaw puzzle problem. However, most existing approaches fail, or aren't designed to deal with fragments of realistic geometric properties one encounters in real-life puzzles. And in all other cases, compatibility methods rely strongly on the restricted shapes of the fragments. In this paper, we propose an efficient hybrid (geometric and pictorial) approach for computing the optimal alignment for pairs of fragments, without any assumptions about their shapes, dimensions, or pictorial content. We introduce a new image fragments dataset generated via a novel method for image fragmentation and a formal erosion model that mimics real-world archaeological erosion, along with evaluation metrics for the compatibility task. We then embed our proposed compatibility into an archaeological puzzle-solving framework and demonstrate state-of-the-art neighborhood-level precision and recall on the RePAIR 2D dataset, directly reflecting compatibility performance improvements.
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