A knowledge-driven method decomposes objects into components, integrates design rules and geometric relationships to estimate dimensions from monocular images, and generates scaled 3D assets for digital twins.
In automotive camera verification using digital twins, dimensional consistency is a crucial requirement because the scale of the object directly affects recognition performance
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Knowledge-Driven Dimension Estimation from a Single Image -3D Asset Generation Technology for Digital Twin Construction
A knowledge-driven method decomposes objects into components, integrates design rules and geometric relationships to estimate dimensions from monocular images, and generates scaled 3D assets for digital twins.