Projection Region Shape Estimation for 3D Object Correction
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing projection correction techniques, such as those using trapezoidal patterns, are inadequate for correcting image distortion when projecting onto three-dimensional objects, as they fail to provide suitable pattern images for various shapes, making it difficult for users to select appropriate correction settings.
Innovation Solution
A setting support method and system that acquires an image of the projection object, estimates the shape of the projection region, calculates similarity degrees between the estimated shape and pre-defined template images, and displays these images in order or form corresponding to their similarity degrees to assist the user in selecting the appropriate shape for projection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple pattern images considering three-dimensional shape are prepared in advance, then the applicability to various projection objects is improved, but it becomes difficult for the user to find an appropriate pattern image out of the many pattern images
Solution Approach 1:
The system captures an image of the projection object, estimates its three-dimensional shape, and provides feedback by displaying template images in display order corresponding to similarity degrees. This feedback mechanism guides the user to select the most appropriate pattern image without requiring them to search through all available options manually.
Solution Approach 2:
The system performs preliminary estimation of the projection object's shape and pre-arranges template images in display order based on calculated similarity degrees before user selection. This preliminary action reduces the user's search effort by presenting the most suitable options first.
2Device complexity
If only trapezoidal correction pattern images are used, then the device complexity is reduced, but the measurement precision of projection shape correction is insufficient for three-dimensional objects
Solution Approach 1:
The system dynamically generates or selects correction patterns based on the estimated three-dimensional shape of the projection object. Instead of using fixed trapezoidal patterns, the system adapts the correction patterns to match the specific geometry of the object, thereby improving measurement precision while maintaining reasonable system complexity.
Solution Approach 2:
The system changes the parameters of correction patterns (such as shape, orientation, and distribution) based on the estimated three-dimensional shape of the projection object. By adjusting these parameters dynamically, the system achieves precise correction for various three-dimensional shapes without requiring a completely different correction mechanism for each shape type.
Data Source
AI summary
There is provided a setting support method for a projection region including, acquiring a first image obtained by imaging a projection object onto which a projection image is projected, estimating a shape of a projection region, which is a projection destination of the projection image in the projection object, calculating a first similarity degree indicating a degree of similarity of a first template image showing a first candidate of the shape of the projection region and the shape estimated based on the first image, calculating a second similarity degree indicating a degree of similarity of a second template image showing a shape of a second candidate different from the first candidate and the shape estimated based on the first image, and displaying the first template image and the second template image in display order or display forms corresponding to the first similarity degree and the second similarity degree.