3D Model Viewpoint Selection via Editing History Analysis
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Solution Overview
Problem
Existing systems for generating informative viewpoints for 3D models are inefficient, as they either rely on time-consuming manual navigation by reviewers or geometric complexity, which may not accurately represent important features of the model.
Innovation Solution
A computer-implemented method that records edit operations and camera viewpoints in an editing log, segments the 3D model based on accumulated sculpting time, and selects informative viewpoints using spatial clustering to generate effective 2D renderings for collages.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual navigation and selection of viewpoints is used, then representation accuracy is improved, but time consumption increases significantly
Solution Approach 1:
The system automatically determines informative viewpoints by analyzing the 3D model's geometric features and editing history without requiring manual navigation. The viewpoint selection is performed self-service by the system itself, eliminating the need for users to manually explore and select viewpoints while maintaining accurate representation.
Solution Approach 2:
The system performs preliminary analysis of the 3D model's geometric features and editing operations to pre-determine informative viewpoints before the user needs to create the collage. By analyzing the model structure and editing history in advance, the system prepares and selects appropriate viewpoints automatically, saving time during the actual collage creation process.
2Extent of automation
If geometric complexity is used to select viewpoints, then automation is improved, but representation accuracy deteriorates
Solution Approach 1:
The system analyzes local geometric features and editing operations at different regions of the 3D model to determine informative viewpoints. Instead of relying solely on overall geometric complexity, the system examines the specific local characteristics and editing history of each region, allowing automated selection while maintaining accuracy by focusing on locally important features.
Solution Approach 2:
The system uses feedback from editing operations and geometric analysis to iteratively refine viewpoint selection. By analyzing editing history and geometric features, the system adjusts and refines its viewpoint determination, ensuring that automated selection achieves both high automation levels and accurate representation of important model features.
3Measurement precision
If manual exploration of viewpoints is required, then selection accuracy is improved, but ease of operation deteriorates
Solution Approach 1:
The system performs self-service by automatically analyzing the 3D model's geometric features and editing history to determine informative viewpoints without requiring user exploration. This eliminates the need for users to manually navigate and select viewpoints, significantly improving ease of operation while maintaining selection accuracy through automated analysis.
Solution Approach 2:
The system replaces the mechanical manual navigation process with automated computational analysis. Instead of requiring users to physically navigate and select viewpoints through manual interaction, the system uses computer-based geometric analysis and editing history processing to automatically determine viewpoints, substituting manual operations with automated mechanisms.
4Loss of information
If 3D model file is shared directly, then information completeness is improved, but transmission ease deteriorates
Solution Approach 1:
The system creates a collage of 2D renderings that serves as a copy or representation of the 3D model. Instead of sharing the original complex 3D model file, the system generates simplified 2D visual representations that capture the essential features and viewpoints, making the information easier to transmit and view while maintaining completeness of the model's important characteristics.
Data Source
AI summary
One embodiment of the invention is a collage engine that generates informative viewpoints of a 3D model based upon the editing history of the 3D model. In operation, the collage engine processes an editing log to identify segments of the 3D model that include related vertices. For a given segment, the collage engine selects a viewpoint used by the end-user to edit the 3D model and a viewpoint used by the end-user to inspect the 3D model. The collage engine may then present the informative viewpoints to the end-user for inclusion in a collage of 2D renderings based upon the informative viewpoints. Generally, the viewpoints used while editing and inspecting the 3D model are of importance in the overall presentation of the 3D model. Therefore, collages of 2D renderings based upon the informative viewpoints can be generated effectively.