Geometric Warping Correction in Projection Mapping
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Solution Overview
Problem
In projection mapping, accurate alignment between the projected image model and the real-world object is challenging, leading to inaccuracies that require manual correction each time the alignment changes, which is inefficient and time-consuming.
Innovation Solution
A system and method that uses a lower resolution mesh model to align with a higher resolution mesh model, allowing automatic correction of misalignments by moving low-resolution points to align corresponding high-resolution points, thereby updating the mesh model for precise projection mapping without manual intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual warping correction is performed for each projector, then alignment accuracy between the mesh model and real-world object is improved, but the time and effort required for correction increases significantly
Solution Approach 1:
The patent creates a simplified lower-resolution copy mesh model that replicates the geometric features of the high-resolution mesh model. This copy is used for automated alignment calculations, allowing the system to perform warping corrections based on the simplified model and then apply those corrections to the full high-resolution model, thereby reducing manual intervention time while maintaining alignment accuracy.
Solution Approach 2:
The system implements automated alignment algorithms that can independently detect and correct misalignments between the mesh model and real-world object without requiring manual warping adjustments. The lower-resolution copy mesh model serves as a self-service tool that automatically identifies alignment errors and generates correction parameters, eliminating the need for time-consuming manual adjustments.
2Manufacturing precision
If a high-resolution mesh model is used for projection mapping, then image projection quality is improved, but the complexity of aligning the mesh model with the real-world object increases
Solution Approach 1:
The patent divides the alignment process into two segments: first, align the simplified lower-resolution copy mesh model (reducing complexity), then transfer the alignment parameters to the high-resolution mesh model (maintaining projection quality). This segmentation allows each step to be optimized independently, making the overall process more manageable.
Solution Approach 2:
The lower-resolution copy mesh model acts as an intermediary between the alignment process and the high-resolution mesh model. It simplifies the complex alignment task by providing a computationally lighter representation that can be quickly processed, while still capturing the essential geometric features needed for accurate alignment transfer to the high-resolution model.
3Reliability
If the mesh model does not accurately represent the real-world object, then projection mapping errors occur, but manually updating the mesh model frequently is inefficient
Solution Approach 1:
The system uses a lower-resolution copy mesh model that can be quickly updated and tested against the real-world object. This copy serves as a proxy for validating alignment accuracy before committing changes to the full high-resolution model, enabling rapid iteration and updating without the overhead of processing the complete high-resolution model each time.
Solution Approach 2:
The patent implements a feedback mechanism where the alignment between the lower-resolution copy mesh model and the real-world object is continuously monitored. When misalignments are detected, the system automatically generates correction parameters and updates the mesh model, creating a closed-loop system that maintains projection accuracy without requiring frequent manual interventions.
Data Source
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AI summary
A system and method for geometric warping correction in projection mapping is provided. A lower resolution mesh is applied to A mesh model, at least in a region of the mesh model misaligned with a corresponding region of a real-world object. One or more points of the lower resolution mesh are moved. In response, one or more corresponding points of the mesh model are moved to increase alignment between the region of the mesh model and the corresponding region of the real-world object. An updated mesh model is stored in a memory. And one or more projectors are controlled to projection map images corresponding to the updated mesh model onto the real-world object.