Three-dimensional human body standard skeleton extraction method for continuous frame point cloud

Abstract

The invention discloses a three-dimensional human body standard skeleton extraction method for continuous frame point cloud, and the method comprises the following two steps: step 1, collecting imagesof a multi-view moving human body, and reconstructing a dense point cloud model by using each view image of each frame; for each frame of point cloud model, carrying out downsampling and surface reconstruction, and using a three-dimensional human body standard skeleton extraction algorithm based on model segmentation to extract a standard skeleton model; step 2, performing inter-frame alignment on the extracted standard skeleton and matching the standard skeleton with corresponding points; constructing a skeleton point sequence of a continuous frame standard skeleton; establishing a continuous frame skeleton point position optimization model to optimize the obtained skeleton point sequence; The finally obtained three-dimensional human body skeleton sequence oriented to the continuous frame point cloud has more advantages than a skeleton extracted by a traditional method in integrity, fitness with an original model, accuracy and standardization on the premise that manual intervention is almost avoided, and has higher practical value and significance.

Description

technical field [0001] The invention relates to the field of computer graphics, in particular to the research and development of a three-dimensional human body standard skeleton extraction method for continuous frame point clouds. Background technique [0002] The skeletal framework extracted from the 3D model can be considered as a very intuitive and efficient representation of the model, which has strong practical significance for analyzing and manipulating the 3D model. Especially for human models, skeletal frameworks can be used for pose estimation, human modeling and manipulation. [0003] Whether it is in the two-dimensional group skeleton multi-granularity real-time extraction and tracking technology, or in the three-dimensional kinect skeleton tracking data processing method, the standard skeleton with 20 points that better reflects the actual skeleton points of the human body is used ,Such as figure 2 As shown, there is currently no standard human skeleton extract...

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Problems solved by technology

However, for the 3D human body model, the number of bone points in the skeleton extracted by the above method is inconsistent, and the standardization cannot be achieved, and the original 3D human body model cannot be better fitted. In addition, the extracted 3D human skeleton occasionally appears incomplete. , wrong branch or position deviation of some points, such as figure 1 shown

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