3D User Model Generation via Angle-Based Image Selection
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Solution Overview
Problem
Current computer systems lack the ability to accurately generate three-dimensional models of users for virtual try-on applications, as existing methods are not robust enough to handle variations in pose and lighting, leading to inaccurate depictions of how products would look on an individual.
Innovation Solution
A computer-implemented method that calculates the angle of view in images of a user, selects images matching predetermined viewing angles, and uses cross-correlation algorithms to generate a 3-D model, combining texture coordinate information and geometry files to create a realistic polygon mesh of the user, allowing for accurate virtual try-on of products.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing methods are used to generate 3-D models, then the process is simpler, but the accuracy and realism of the user depiction deteriorates
Solution Approach 1:
The patent segments the image processing into multiple distinct stages: image acquisition with controlled viewing angles, feature detection using cross-correlation algorithms, 3-D model generation, and texture mapping. This segmentation allows each stage to be optimized independently, achieving high measurement precision through systematic multi-stage processing while managing overall system complexity through modular organization of processing steps.
2Measurement precision
If multiple images are processed to generate accurate 3-D models, then the model accuracy improves, but the processing time increases
Solution Approach 1:
The patent performs preliminary actions by pre-defining a set of predetermined viewing angles before image acquisition. During image capture, the system selectively acquires images only at these predetermined angles, rather than processing all possible angles. This preliminary preparation of angle specifications enables efficient selection and processing of only the necessary images, reducing processing time while maintaining accurate 3-D model generation through multi-angle data.
3Manufacturing precision
If images at predetermined viewing angles are selected, then the 3-D model accuracy improves, but the image selection process becomes more complex
Solution Approach 1:
The patent applies parameter changes by establishing a discrete set of predetermined viewing angle parameters (specific orientations and rotations) that optimize 3-D model reconstruction. Instead of continuously varying angles, the system uses specific angular parameters that have been predetermined to provide the most informative views for 3-D reconstruction. This parameterization simplifies the angle selection process while ensuring high precision in the resulting 3-D structure through the strategic choice of viewing angles.
Data Source
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AI summary
A computer-implemented method for generating a three-dimensional (3-D) model of a user. A plurality of images of a user are obtained. An angle of view relative to the user pictured in at least one of the plurality of images is calculated. It is determined whether the calculated angle of view matches a predetermined viewing angle. Upon determining the calculated angle of view matches the predetermined viewing angle, at least one of the plurality of images is selected.