Three-dimensional model total segmentation method for sparse low-rank feature expression
A 3D model and feature expression technology, applied in 3D object recognition, image analysis, 3D modeling, etc., can solve the problem of low accuracy rate of co-segmentation results, and achieve the effect of maintaining global consistency and high accuracy rate
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[0047] 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 the present invention.
[0048] figure 1 A flow chart of the 3D model co-segmentation method for sparse low-rank feature representation provided in Embodiment 1 of the present invention, as shown in figure 1 As shown, the method of the present embodiment includes:
[0049] Step 101 , performing pre-segmentation on each 3D model in the 3D model category to obtain 3D...
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