Online marking method for three-dimensional model component

A 3D model and annotation technology, applied in image data processing, instruments, etc., can solve the problems of lack of update mechanism in existing methods, difficulty in expressing user's annotation intention in segmentation mode, etc.

Inactive Publication Date: 2014-08-06
NANJING UNIV
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  • Description
  • Claims
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Problems solved by technology

[0007] In short, there are three problems in the current 3D model segmentation method based on the model set. First, before segmenting and labeling the 3D model, the existing methods need to collect a large number of 3D models for training in order to obtain satisfactory labe

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  • Online marking method for three-dimensional model component
  • Online marking method for three-dimensional model component
  • Online marking method for three-dimensional model component

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Embodiment

[0120] In this example, if Figure 2a Shown is the input initial 3D model; Figure 2b Shown is the result of labeling the seed area of ​​the initial 3D model. Labels 1 to 5 represent five types of component categories, namely: flame, candle, handle, support platform and tray; during the initial labeling process, the seed area is marked The obtained seed labeling set is used for online learning to obtain the segmentation model after the initial labeling, and then the segmentation model is used to segment and label the initial 3D model, and the intermediate labeling results are obtained as follows: Figure 2c As shown, it is segmented and marked as 1, 2, 4, 5, four parts, and the result is partly segmented and marked incorrectly; based on this result, the user proceeds Figure 2d In the area correction in , correct part of the area in part 1 to part 2, correct the area in part 5 that should be marked as the handle to part 3, and correct the area that should be marked as the sup...

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Abstract

The invention discloses an online marking method for a three-dimensional model component. The method includes the following steps that preprocessing is conducted, and features and over-segmentation pieces of triangular patches are obtained; initial marking is conducted, a segmentation model is initialized, seed area marking is conducted on an initial three-dimensional model which is input by a user, a seed marking set is obtained, online learning is conducted on the seed marking set, and the partition model is learned; online marking is conducted, the segmentation model is used for conducting segmentation marking on an input three-dimensional model of the same type, a middle marking result is obtained, whether the result is approved or not is judged by the user, if yes, the process is over, and the middle marking result is a final marking result, and if not, the user conducts area correction on the middle marking result, the seed marking set is obtained, online learning is conducted on the seed marking set, the segmentation model is updated, the updated segmentation model is used for conducting segmentation marking on the three-dimensional model, the middle marking result is obtained, continuous iteration is conducted until the middle marking result is approved by the user, and the final three-dimensional model marking result is obtained.

Description

technical field [0001] The invention relates to a processing method for shape analysis, which belongs to the technical field of computer graphics, in particular to an online marking method for three-dimensional model components. Background technique [0002] Segmenting a 3D model and obtaining the annotations of its components is the basis for shape understanding and processing. Many tasks in the fields of geometric modeling, manufacturing, 3D model animation, and texture rely on component segmentation, and many of these problems require further analysis of segmentation. Parts are annotated, that is, identified as an instance of a known part type. However, in most cases of these applications at present, the segmentation and labeling of the input 3D model are carried out by manual definition. For example, in the application of human mesh texture synthesis, it is necessary to manually identify the part with "arm" texture or the part with "leg" texture in the mesh; in addition...

Claims

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Application Information

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IPC IPC(8): G06T19/00
Inventor 孙正兴章菲倩宋沫飞郎许锋
Owner NANJING UNIV
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