KinectV2-based 3D Point Cloud Reconstruction and Body Size Measurement of Pig Body
Body size parameter is an important indicator for evaluating the growth status of fattening pigs.It addresses the problems of single measurement parameters and large measurement errors caused by factors such as angle and light source in pig body size measurement using a monocular CCD camera.Firstly,use the depth camera KinectV2 to synchronously obtain local point cloud data of the pig body from the top and left and right perspectives;Then,point cloud denoising,simplification and segmentation are carried out,and the improved ICP point cloud registration technology is used to process point cloud information;Finally,precise estimation techniques are used to streamline point cloud da-ta.Comparing the results of experimental and manual measurements from different angles,it was found that the average relative error of body length was 2.65%,the average relative error of body height was 1.87%,the average relative error of body width was 1.75%,the average rela-tive error of hip height was 2.07%,and the average relative error of hip width was 1.96%in pig body data.Overall,the error was relatively small,proving the effectiveness of the proposed method and providing a new solution for pig body size measurement.
growing and fattening pigsimage processingKinectV23D point cloudbody size measurement
国家科技期刊平台
NSTL
万方数据
维普
