Improving Monocular Camera Localization for Video-Based Three-Dimensional Outer Ear Reconstruction Tasks

Improving Monocular Camera Localization for Video-Based Three-Dimensional Outer Ear Reconstruction Tasks

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This work addresses challenges related to camera 3D localization while reconstructing a 3D model of an ear.This work explores the potential solution of using a cap, specifically designed not to obstruct the ear, and its efficiency in enhancing the camera localization for structure-from-motion (SfM)-based object reconstruction.The proposed solution is described, and an elaboration of the experimental scenarios used to investigate the background textures is provided; data collection Washing Machine Decal and software tools used in the research are reported.The results show that the proposed method is effective, and using the cap with texture leads to a reduction L-Desks in the camera localization error.Errors in the 3D location reconstruction of the camera were calculated by comparing cameras localized within typical ear reconstruction situations to those of higher-accuracy reconstructions.

The findings also show that caps with sparse dot patterns and a regular knitted patterned winter hat are the preferred patterns.The study provides a contribution to the field of 3D modeling, particularly in the context of creating 3D models of the human ear, and offers a step towards more accurate, reliable, and feasible 3D ear modeling and reconstruction.