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An automatic assembly and completion framework for fragmented skulls

机译:零散头骨的自动组装和完成框架

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We develop a completion pipeline for fragmented and damaged skulls. The goal of this work is to convert scanned incomplete skull fragments to a complete skull model for subsequent forensic or archeological tasks such as facial reconstruction. The proposed assembly and completion algorithms can also be used to repair other fragmented objects with inherent symmetry. A two-step assembly framework is proposed: (1) rough assembly by an ICP-like template matching algorithm integrated with the slippage features and spin-image descriptors; (2) assembly refinement by a global optimization on least square transformation error (LSTE) of break-curves. The assembled skull is finally repaired by a symmetry-based completion algorithm. Experiments on repairing scanned skull fragments demonstrate the efficacy and robustness of this framework.
机译:我们为碎片化和受损的头骨开发了完成流程。这项工作的目标是将扫描的不完整的头骨碎片转换成完整的头骨模型,以进行后续的法医或考古任务,例如面部重建。提出的组装和完成算法也可以用于修复具有固有对称性的其他碎片对象。提出了两步组装框架:(1)通过结合滑移特征和旋转图像描述符的类ICP模板匹配算法进行粗组装; (2)通过对折弯曲线的最小二乘变换误差(LSTE)进行全局优化来优化装配。最后,通过基于对称的完成算法修复组装好的头骨。修复扫描的颅骨碎片的实验证明了该框架的有效性和鲁棒性。

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