Scene Model Construction via Hierarchical Segmentation
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Solution Overview
Problem
Existing methods for constructing three-dimensional scene models require high software and hardware resources and are inefficient due to errors in combining scene materials with different coordinate parameters, making them difficult for general users to implement effectively.
Innovation Solution
A two-stage classification method that groups scene materials by position parameters and then by similarity, allowing for the establishment and combination of sub-models into position models, which are subsequently integrated into a scene model, reducing operational time and errors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional methods are used to construct three-dimensional scene models from large amounts of scene materials, then the model can be constructed, but the operation time is excessive and hardware resource requirements are extremely high
Solution Approach 1:
The patent segments the scene materials into multiple position groups based on position parameters, and further segments each position group into multiple similar image sub-groups based on scene similarities. This hierarchical segmentation divides the large-scale construction task into smaller, manageable sub-tasks that can be processed more efficiently with reduced computational overhead.
2Ease of manufacture
If traditional methods are used to construct three-dimensional scene models, then the model can be constructed, but the software and hardware requirements are extremely high making it difficult for general users
Solution Approach 1:
The patent segments the scene materials into multiple position groups based on position parameters, and further segments each position group into multiple similar image sub-groups based on scene similarities. This hierarchical segmentation divides the large-scale construction task into smaller, manageable sub-tasks that can be processed more efficiently with reduced computational overhead.
3Manufacturing precision
If a large amount of scene materials is collected to construct a three-dimensional model, then the model can be constructed, but errors occur between scene materials due to different coordinate parameters making combination difficult
Solution Approach 1:
The patent segments the scene materials into multiple position groups based on position parameters, and further segments each position group into multiple similar image sub-groups based on scene similarities. This hierarchical segmentation divides the large-scale construction task into smaller, manageable sub-tasks that can be processed more efficiently with reduced computational overhead.
Solution Approach 2:
The patent applies different processing strategies to different position groups and sub-groups based on their local characteristics. By treating each position group and sub-group with targeted processing appropriate to its specific properties, the system achieves higher combination accuracy while managing coordinate parameter variations effectively.
Data Source
AI summary
A scene model constructing method includes the following steps. According to multiple position parameters in multiple scene materials, classifying the scene materials into multiple position groups. According to scene similarities between the scene materials, classifying the scene materials into multiple first similar image sub-groups and multiple second similar image sub-groups. Establishing a first similar image sub-model and a second similar image sub-model respectively according to the first similar image sub-group and the second similar image sub-group. Combining a first similar image sub-model to a first position model, and combining a second similar image sub-model to a second position model. Finally, combining the first position model and the second position model to a scene model.