Virtual Object Map Generation Using Multi-Angle Image Adjustment
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Solution Overview
Problem
The manual adjustment of initial object maps for virtual objects is inefficient due to the large number of maps required, leading to low object map generation efficiency.
Innovation Solution
A method involving obtaining initial object maps and adjustment description text, capturing the virtual object at multiple angles, performing image adjustments based on the text to generate reference images, selecting target reference images, and generating target object maps that satisfy a preset adjustment effect.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual adjustment of initial object maps is performed for each map individually, then the adjustment precision can be maintained, but the object map generation efficiency becomes very low due to the large number of maps
Solution Approach 1:
The patent merges the adjustment of multiple object maps into a single image adjustment operation. Instead of adjusting each object map separately, the system captures the virtual object from multiple angles and performs one image adjustment operation on the captured image, then generates multiple adjusted object maps from the adjusted image. This combining approach maintains adjustment precision while dramatically improving efficiency.
Solution Approach 2:
The patent performs preliminary capture of the virtual object from multiple angles before adjustment. By first capturing the object in a neutral state from various viewpoints, the system establishes a comprehensive visual reference that enables subsequent adjustment operations to be performed once on the captured image rather than requiring multiple separate adjustment operations on individual object maps.
2Manufacturing precision
If image adjustment is performed on each initial object map individually, then the adjustment accuracy is maintained, but the processing time and workload increase significantly
Solution Approach 1:
The patent combines multiple individual adjustment operations into a single image adjustment operation. By adjusting the captured image (which contains information from multiple angles) once, the system achieves the same adjustment accuracy that would require multiple separate operations on individual object maps, thereby significantly reducing processing time.
Solution Approach 2:
The captured image serves multiple functions simultaneously: it acts as the source for generating multiple adjusted object maps, provides comprehensive visual information from various angles, and serves as the basis for a single adjustment operation that affects all object maps. This multi-functionality eliminates redundant processing while maintaining accuracy.
Data Source
AI summary
This application provides an object map generation method performed by an electronic device. The method includes: obtaining a plurality of initial object maps of a virtual object and adjustment description text for describing a preset adjustment effect on the virtual object; controlling a virtual camera to capture images of the virtual object at a plurality of different capturing angles; respectively performing image adjustment on the captured images based on the adjustment description text, to obtain reference images satisfying the preset adjustment effect; selecting, from the reference images, target reference images respectively corresponding to the initial object maps; generating, based on the target reference images and the initial object maps, target object maps satisfying the preset adjustment effect; and respectively replacing the initial object maps on the virtual object with the corresponding target object maps, to obtain a target virtual object satisfying the preset adjustment effect.


