Monocular 3D Envelope Reconstruction with Ground-Anchored Geometry
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Solution Overview
Problem
Existing methods for estimating the three-dimensional shape of objects from monocular images lack flexibility and accuracy, particularly when the image acquisition conditions differ from the training data, leading to inaccurate position and shape estimation.
Innovation Solution
A method involving a series of geometric transformations is applied to the three-dimensional envelope of an object, ensuring it remains anchored to the ground and maintains geometric proportions, regardless of the viewing angle or perspective, using a computer-implemented process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If existing methods for estimating three-dimensional shape from monocular images are used, then the method can process monocular images, but the accuracy and flexibility of position and shape estimation deteriorate when image acquisition conditions differ from training data
Solution Approach 1:
The patent applies parameter changes by adjusting the geometric transformation parameters (rotation angles, translation vectors, scaling factors) based on the specific image acquisition conditions. The system modifies the three-dimensional envelope parameters to adapt to different camera positions, viewing angles, and perspective conditions, thereby maintaining both flexibility and accuracy across diverse imaging scenarios.
Solution Approach 2:
The patent implements dynamics by making the three-dimensional envelope transformation dynamic rather than static. The geometric transformations are applied adaptively based on the input image characteristics, allowing the system to adjust the envelope's position, orientation, and scale in real-time according to the specific monocular image conditions, thus resolving the contradiction between adaptability and precision.
2Manufacturing precision
If geometric transformations are applied to three-dimensional envelopes, then the ground anchoring and geometric proportions are preserved, but the complexity of the processing method increases
Solution Approach 1:
The patent applies segmentation by dividing the geometric transformation process into distinct sequential steps: first applying a transformation to anchor the envelope to the ground plane, then applying another transformation to correct geometric proportions. This segmentation allows each transformation to be optimized independently, maintaining precision while making the overall complex process more manageable and systematic.
Solution Approach 2:
The patent implements preliminary action by pre-defining the geometric transformation parameters and transformation sequences before processing actual images. The transformation rules are established in advance based on the relationship between camera parameters and three-dimensional space, allowing the system to apply these pre-computed transformations efficiently during image processing, thus reducing real-time computational complexity while maintaining precision.
Data Source
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AI summary
Method for reconstructing the three-dimensional envelope of an object O from a monocular image 1000. The method comprises the following steps: (a) Providing 5001 a proof three-dimensional envelope E of the object O by processing the monocular image 1000; (b) Obtaining 5002 a first modified three-dimensional envelope EH1 by applying, on the proof three-dimensional envelope E, a first geometric transformation; (c) Obtaining 5003 a second modified three-dimensional envelope EH2 by applying, on the first modified three-dimensional envelope EH1, a second geometric transformation; (d) Obtaining 5004 a third modified three-dimensional envelope EH3, by applying, on the second modified three-dimensional envelope EH2, a third geometric transformation.