인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
피인용 0
초록·키워드
This study presents a low-cost, non-invasive pipeline for three-dimensional cranial measurement based on 360° video acquisition with a smartphone camera and 2D Gaussian Splatting. The purpose of this research is to enable reliable cranial reconstruction without reliance on expensive commercial imaging systems. In the proposed design, video recordings were captured under controlled conditions, and Structure-from-Motion techniques implemented in COLMAP were applied to estimate camera poses and reconstruct sparse point clouds. These outputs served as inputs to 2D Gaussian Splatting, producing a detailed three-dimensional mesh. A bounding-box procedure derived from the estimated camera poses was then used to remove background elements and retain only the cranial and upper-body region. To standardize measurements, two eyelid line landmarks were automatically detected on a designated reference frame, and their intersections with the mesh were computed to define a geometric base plane. Cutting along this plane isolated the cranial region above it, producing meshes ready for further morphometric analyses. Experimental results confirmed close alignment between recorded frames and reconstructed meshes, correct localization of landmark-based intersections, and stable mesh segmentation. The findings demonstrate that the proposed pipeline can generate analyzable cranial data suitable for assessing intracranial volume, cranial circumference, and asymmetry, offering a practical alternative to traditional clinical imaging systems.
본문·목차
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
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