The Study Of The Point Cloud Data Processing Methods Based On The3D Scanning Project Modeling In The Facial Plastic Surgery

Facial Plastic surgery technology is based on three-dimensional scanning projectmodeling machinery manufacturing technology and cross-cutting areas of biomedicalengineering technology, it is a hot topic of current research. This technology effectivelyavoied the traditional methods rely on the subjective experience of the doctor tocomplete the uncertainty of clinical surgery, played an objective evaluation of theeffective supporting role. The point cloud data processing engineering modeling ofthree-dimensional scanning is the key technology of the technology. For this lack ofexisting research, our paper researched the defect repair method based on the pointcloud data in the point cloud data processing of the facial plastic surgery, and researchedfacial plastic surgery area acquisition method based on the point cloud data of solvemathematical model, and the exact distance analysis method of the orthodontic toothmodel space based on the point cloud data. For this reason, this paper include thefollowing aspects:â‘ For the facial plastic point cloud data defects, proposed through multipletwo-dimensional images of three-dimensional point cloud data for the defectssupplement, this method is to get through the ATOS scanning equipment scanning pointcloud data for the study. First, preprocessing the scanned point cloud data, extract thenon code point location coordinates of the two-dimensional image andthree-dimensional point cloud data, and extract the defective point cloud data boundaryof3D point cloud data, followed by non code point establish the correspondencerelationship between the dimensional picture and the3D point cloud data, and the focalposition is obtained, then create the space linear equation, finally by calculating theintersection point of most straight line to determine the defective location coordinatesfor the cloud data.â‘¡For the problem of a large area burns, trauma autologous transplant or in vitroskin source area of facial plastic computational problems, proposed a facial plasticsurgery area acquisition method based on point cloud mathematical model solution.Firstly, facial scan, preprocessing the point cloud, and then symmetrical treatment onthe basis of point cloud data preprocessing, obtain the CDM (Color Difference Maps),through the CDM diagram obtain the area slice mathematical model of the area of facialplastic surgery, by solving the point cloud data in this area directly, the facial plastic area is acquired. This method operates directly on the point cloud data, can accuratelyand efficiently complete the surgical area. Finally, by comparing the analysis shows thatthis method is effective in facial plastic surgery.â‘¢For the accurate measurement of orthodontic appliances during the tooth spacemoving distance value, proposed a new method of measuring the3D space distancebased on Typodont waters experiment, this method through Typodont watersexperiments obtained the3D point cloud data of the dental model, and then use theVICP method conduct secondary virtual match of sampling point cloud data based onthe ICP (Iterative Closest Point) algorithm, find the detection model correspondingpoint data, obtain the model move of the3D space distance value, so as to solve theorthodontic treatment process for each tooth movement distance and move way. Bymonitoring the movement distance of tooth under treatment through model movement,the treatment of orthodontic tooth can be monitored at all times, which preventsexcessive movement of tooth and plays a role of effectively using the anchorage.The aboveâ‘ â‘¡â‘¢methods are given experimental case; case analysis resultsshow that these methods are feasible and effective.