Point cloud completion evaluation method for measuring coverage degree of missing point cloud
A missing point and coverage technology, applied in image data processing, instruments, calculations, etc., can solve the problems of monotonous indicators, changes in calculation results, and it is not conducive to measuring the integrity of missing point clouds, achieving strong robustness, The effect of the degree of linear correlation of strong missing rates
Pending Publication Date: 2021-01-12
PEKING UNIV SHENZHEN GRADUATE SCHOOL
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Problems solved by technology
The existing evaluation index measures the point-to-point Euclidean distance between two point clouds as the evaluation index of point cloud completion. This measurement method does not have the invariance of the missing degree, that is, the same proportion of missing, but different missing parts. The calculation results will also change accordingly, which does not conform to the quantitative performance of missing completeness. At the same time, because this kind of index will be affected by outliers, the larger the missing rate will be, and the index will not appear monotonous.
It is also not good for measuring the completeness of the missing point cloud
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[0030] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of this aspect.
[0031] figure 1 The flow chart of the present invention, as shown in the figure, is an embodiment of a point cloud completion evaluation method for measuring missing point cloud coverage of the present invention: the evaluation method includes,
[0032] Step 1. Calculate the coverage S1 of the missing point cloud relative to the complete point cloud:...
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The invention relates to a point cloud completion evaluation method for measuring the coverage degree of missing point cloud. The method comprises the steps of 1, calculating the coverage degree of the missing point cloud relative to complete point cloud; 2, calculating the coverage degree of the complete point cloud relative to the missing point cloud; and 3, combining the values calculated in the step 1 and the step 2. According to the point cloud completion evaluation method for measuring the coverage degree of the missing point cloud coverage, missing invariance of missing point cloud canbe measured, a monotonous change trend is presented according to monotonous change of the missing rate, and the completion effect of the point cloud completion method can be visually measured.
Description
technical field [0001] The present invention relates to the field of point cloud and point cloud completion, and more particularly relates to a point cloud completion evaluation method for measuring missing point cloud coverage. Background technique [0002] The point cloud data obtained by using the existing point cloud acquisition device or depth perception may have limited scanning area, incomplete angle, the influence of physical environment light, the limitation of the laser scanner itself, or the collection structure of the object is too complex and changeable, etc. , will inevitably lead to missing regions in the scan results. Some subsequent point cloud processing tasks require a complete point cloud. At this time, how to complete the missing point cloud into a complete point cloud is a problem worth studying. Point cloud completion is the task of inferring the most likely complete shape from the missing point cloud. Point cloud completion has become a hot research...
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IPC IPC(8): G06T7/60G06T7/00
CPCG06T7/60G06T7/0002G06T2207/10028G06T2207/30168
Inventor 李革晏玮张若楠
Owner PEKING UNIV SHENZHEN GRADUATE SCHOOL