Linguistic Body Shape Mapping for 3D Avatar Generation
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Solution Overview
Problem
Current methods for creating realistic 3D digital avatars are either costly, error-prone, or not widely available, lacking a simple, intuitive, and technologically inexpensive solution for estimating both metrically and perceptually accurate human body shapes.
Innovation Solution
A computer-implemented method that associates linguistic descriptors with body shapes using a learned mapping from a training set, allowing for the generation of body shapes based on linguistic inputs, utilizing principal component analysis and crowd-sourced ratings to create a model that maps linguistic body descriptors to geometric representations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If high-end scanners (laser, structured light, stereo) are used to create realistic 3D avatars, then manufacturing precision and realism are improved, but device complexity and cost increase significantly
Solution Approach 1:
The patent uses 2D photographs as simplified copies of 3D body data, eliminating the need for complex 3D scanning hardware. Multiple 2D images captured from different angles are processed to reconstruct 3D body geometry, achieving realistic avatars through computational methods rather than expensive scanning equipment.
Solution Approach 2:
The patent replaces mechanical/optical scanning systems with a computational image processing system. Instead of using laser scanners or structured light projectsors, the system uses standard cameras to capture 2D images and applies algorithms (including PCA and shape modeling) to generate 3D reconstructions, substituting complex hardware with software-based solutions.
2Ease of operation
If traditional tailoring measurements are used to create avatars, then ease of operation is improved, but measurement precision deteriorates due to human error
Solution Approach 1:
The patent replaces manual measurement copying with automated digital image copying. Instead of humans physically measuring and recording body dimensions with tape measures, the system digitally captures body images and automatically extracts geometric information through image processing algorithms, eliminating human measurement errors while maintaining ease of use.
Solution Approach 2:
The patent introduces 2D photographs as an intermediary between the human body and the 3D avatar creation process. Rather than directly measuring the body, the system captures images that serve as intermediaries, which are then processed to extract accurate body geometry, combining ease of operation with improved precision.
3Adaptability or versatility
If range cameras are used to extract avatars, then device availability is improved, but manufacturing precision deteriorates due to lower quality sensors
Solution Approach 1:
The patent merges multiple low-quality 2D images from standard cameras into a single high-quality 3D reconstruction. By combining information from multiple images captured at different angles and positions, the system overcomes the limitations of individual low-resolution sensors and achieves high-fidelity avatar creation using accessible technology.
Solution Approach 2:
The patent transitions from 2D image data to 3D geometric representation through computational reconstruction. By adding the third dimension through algorithmic processing rather than through advanced 3D sensors, the system achieves high precision avatars using only standard 2D cameras that are widely available.
Data Source
AI summary
A computer-implemented method for indexing a database of human body shapes, wherein the human body shapes are represented in terms of coefficient vectors in a geometric body space. The method includes predicting, for human body shapes in the database, a vector of word ratings, based on parameters of the human body shape, using a mapping between the geometric body space and a linguistic body space, wherein the linguistic body space is represented in terms of body descriptor words; and storing the body descriptor words and their predicted rating values in the database with each human body shape.