Monocular 3D Envelope Reconstruction With Floor-Aligned Geometry
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Solution Overview
Problem
Existing methods for reconstructing the three-dimensional shape and position of objects from monocular images lack flexibility and fail when the image acquisition conditions differ from the training set, particularly in varied environments and camera positions.
Innovation Solution
A method involving multiple geometric transformations is applied to a trial three-dimensional envelope extracted from a monocular image, anchoring it to a reference plane and resizing it to maintain geometric proportions and orientation, ensuring the envelope remains fixed and aligned with the floor regardless of the viewing angle.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If existing methods for reconstructing three-dimensional shape from monocular images are used, then the reconstruction can be obtained, but the method lacks flexibility and fails when image acquisition conditions differ from training set
Solution Approach 1:
The patent applies parameter changes by dynamically adjusting geometric transformation parameters (scaling factors, rotation angles, translation vectors) based on the specific image acquisition conditions. The system modifies these parameters to adapt the three-dimensional envelope to different camera positions, viewing angles, and environmental conditions, thereby resolving the contradiction between adaptability and reliability.
Solution Approach 2:
The invention introduces dynamics by making the geometric transformations iterative and adaptive rather than fixed. The system dynamically adjusts the three-dimensional envelope through multiple transformation steps, allowing the reconstruction to adapt to varying acquisition conditions while maintaining accuracy, thus improving both flexibility and reliability.
2Manufacturing precision
If geometric transformations are applied to maintain geometric proportions, then the reconstruction accuracy is improved, but the processing complexity increases
Solution Approach 1:
The patent segments the geometric transformation process into distinct steps: scaling transformation to adjust size, rotation transformation to orient the envelope, and translation transformation to position it correctly. By dividing the complex transformation into manageable segments, the system maintains high geometric accuracy while reducing overall processing complexity through modular operations.
Solution Approach 2:
The invention applies preliminary action by pre-defining the geometric transformation parameters and transformation matrices before processing the actual image. The system prepares the transformation framework in advance, which simplifies the real-time processing and reduces computational complexity while maintaining precision in the final reconstruction.
Data Source
AI summary
A method for reconstructing the three-dimensional envelope of an object from a monocular image. The method includes providing a trial three-dimensional envelope of the object by processing the monocular image, obtaining a first modified three-dimensional envelope by applying, to the trial three-dimensional envelope, a first geometric transformation, obtaining a second modified three-dimensional envelope by applying, to the first modified three-dimensional envelope, a second geometric transformation, and obtaining a third modified three-dimensional envelope, by applying, to the second modified three-dimensional envelope, a third geometric transformation.