Feature-based top-down image modeling method

A top-down, image modeling technology, applied in the field of static target digitization and motion process reconstruction, can solve the problems of increasing human labor, achieve the effect of reducing human labor, improving the degree of automation, and collecting data in a short time

Inactive Publication Date: 2012-10-10
WENZHOU UNIVERSITY
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AI Technical Summary

Problems solved by technology

However, different technologies have different advantages and disadvantages. For example, laser scanning and structured light projection are easy to obtain planar models when reconstructing long-distance targets. The process of reconstructing models from natural light images requires a lot of interaction, which increases human labor.

Method used

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  • Feature-based top-down image modeling method
  • Feature-based top-down image modeling method
  • Feature-based top-down image modeling method

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Embodiment Construction

[0030] Such as figure 1 , figure 2 , image 3 , Figure 4 Shown, technical solution of the present invention comprises the steps:

[0031] 1. Hierarchical and characteristic deconstruction of goals

[0032] Starting from the shape characteristics of the target object, analyze its constituent elements and the relationship between elements, establish the principle of hierarchical deconstruction of the target object, separate the shape features and surface features, and describe the shape features in a characterization and hierarchical structure. Its hierarchical feature tree regards surface features as subordinate features attached to corresponding shape features, and generates corresponding statistical laws for each type of feature in the feature tree.

[0033] Such as figure 2 As shown, the deconstruction is carried out according to the following principles: ① Separate the outline and surface features, and regard the surface features as another feature attached to the a...

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Abstract

The invention relates to a feature-based top-down image modeling method, which comprises the following steps of: performing statistical hierarchical and feature-based deconstruction on a target; acquiring a multi-view image of the target; fitting the multi-view image by using a statistical deformation model of the overall surface of the target to obtain a coarse estimation model of the target, and reconstructing a feature tree of the target; reconstructing external features of each layer; and reconstructing surface features of each layer from top down. The method has the advantages that mark points are not required, interaction is avoided or reduced, and an adaptive reconstruction result can be obtained; the method is applied to a static target and a moving process; the reconstruction result has semantic information, and a three-dimensional model with attached textures can be output; and the like.

Description

technical field [0001] The invention relates to a method for recovering a three-dimensional model from multiple images, which can be used in three-dimensional measurement, and can also be used in the fields of static target digitization, motion process reconstruction and the like. Background technique [0002] With the continuous progress of social modernization and the continuous improvement of material and cultural living standards, the technology of image modeling has become more and more mature, and its application fields have become more and more extensive. In stereoscopic video, 3D animation, foot measurement, face reconstruction, identity Areas such as recognition and motion analysis have enormous potential value. However, different technologies have different advantages and disadvantages. For example, laser scanning and structured light projection are easy to obtain planar models when reconstructing long-distance targets. The process of reconstructing models from nat...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T17/00
Inventor 罗胜
Owner WENZHOU UNIVERSITY
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