An approach to effective 3D reconstruction based on point cloud merging

Mostafa, Sakib; Fahim, Masud An Nur Islam; Tasnim, Jarin

doi:10.1109/wiecon-ece.2016.8009132

Cited by 1 publication

(1 citation statement)

References 6 publications

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“…In this work, we research and implement the Laplacian coordinates on the deformation of a human face surface. Firstly, point clouds are extracted from the CT image as a set of three dimension Cartesian coordinates [10,19]. Surface triangulation is the next important step as the basis for finding neighborhood information, and also for rendering the deformed surface [5,7,14].…”

Section: Laplacian Modelmentioning

confidence: 99%

3D Laplacian Surface Deformation for Template Fitting on Craniofacial Reconstruction

Suputra

Sensusiati

Yuniarno

et al. 2020

Proceedings of the 8th International Conference on Computer and Communications Management

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Computer-based craniofacial reconstruction utilizes medical imaging for forensic identification and medical reconstruction surgery, enables sophisticated three-dimension object representation and visualization. Reconstruction process involves deformation in their imagery how the shape of a person's face based on its properties and landmark correspondences. We propose the Laplacian surface deformation to deform the facial template to the cranial surface on several constraints that simulates fitting face to the skull using landmark correspondences. The range of variation of the landmarks on the human face lies in narrow intervals. In other words, small differences can affect the shape and facial expressions. Thus, a Laplacian surface model gives better result than a volumetric Laplacian in the matter of accuracy. CCS Concepts• Computing methodologies ➝ Shape representations.

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