The invention belongs to the technical field of medical assistance, and particularly relates to a thoracic depression grade judgment method using
human body point clouds, which comprises the following steps of: 1, shooting human bodies at different angles by using depth camera equipment to obtain three-dimensional
point cloud data at different angles; and 2, performing coordinate
system transformation, segmentation, clustering, extraction, registration, fitting and reconstruction on the three-dimensional
point cloud data, and restoring the
human body point cloud at different angles in a computer. A TOF sensing technology is combined with a
human body dynamic point cloud registration technology and a human body tracking technology to construct a chest wall visual diagnosis and
evaluation system. Three-dimensional chest wall information is obtained through the
system, and a'
topographic map 'of the chest wall is drawn, so that digitized, visual and
comparative evaluation can be carried out on the three-dimensional chest wall information, the chest wall malformation condition of a patient can be quickly, accurately and noninvasively evaluated, the inaccuracy of
naked eye evaluation and the invasive mode of CT evaluation are avoided,
personalized treatment evaluation monitoring is achieved, and more funnel chest children are benefited.