As an important form of 3D data,point cloud has been widely used in intelligent driving and other fields.In the pro-cess of point cloud compression,distortion is inevitable.How to accurately evaluate the quality of point cloud data after compres-sion has become the research focus of this field.This paper discusses the research of point cloud quality evaluation.First,several typical point cloud data sets are compared.Secondly,the objective quality evaluation model of point cloud is discussed from the as-pects of traditional algorithms and deep learning algorithms.Finally,the opportunities and challenges faced by the point cloud qual-ity evaluation algorithm are summarized and prospected.This paper can provide guidance and reference for the optimization of point cloud data and the improvement of the compression algorithm.
关键词
点云/质量评价/点云压缩/深度学习
Key words
point cloud/quality evaluation/point cloud compression/deep learning
万方数据