Morphable 3D Human Model Generation from Low-Resolution Depth Data
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Solution Overview
Problem
Consumer-level 3D capture devices produce low-resolution data, making it difficult to construct usable 3D human models, which are typically high in complexity and cost for professional devices.
Innovation Solution
A method that processes pose data from low-resolution 3D capture devices to generate a 3D model by selecting a morphable generic human model, adjusting its pose and appearance parameters, and applying these adjustments to produce a recognizable 3D model of an individual, using a system that includes a CPU, display processor, and 3D camera, optionally with an HD camera for enhanced detail.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If professional 3D capture devices are used, then model quality and resolution are improved, but device complexity and cost increase
Solution Approach 1:
The patent uses a morphable 3D generic human model as a template that can be adapted to match individual characteristics. Instead of capturing every detail directly, the system copies the generic model structure and modifies it based on captured data points, achieving high-quality results with simpler input devices
Solution Approach 2:
The system changes parameters of the generic 3D model (such as body proportions, facial features, clothing details) to match the captured individual characteristics. By adjusting these parameters rather than requiring complete high-resolution capture, the system achieves accurate 3D modeling with lower-resolution input data
2Measurement precision
If professional 3D capture devices are used, then model quality is improved, but cost increases
Solution Approach 1:
The patent employs inexpensive consumer-grade 3D capture devices (such as depth cameras or structured light scanners) instead of expensive professional equipment. The system compensates for the lower hardware quality through sophisticated software processing and the morphable model approach, making 3D human modeling accessible at consumer price points
3Device complexity
If low-resolution data from consumer devices is used, then device complexity is reduced, but model usability deteriorates
Solution Approach 1:
The system uses iterative feedback loops where the captured low-resolution data is compared against the morphable generic model, and adjustments are made to model parameters to minimize differences. This feedback process allows the system to extract accurate 3D information even from low-resolution input data, maintaining model usability
Solution Approach 2:
The patent prepares a pre-parameterized morphable 3D generic human model before capture, with all possible anatomical variations already encoded. This preliminary preparation allows the system to quickly and reliably generate usable 3D models from minimal input data, as the heavy computational work has already been done in advance
Data Source
AI summary
One embodiment of the present invention sets forth a technique for generating a three-dimensional (3D) model of an individual. The technique involves receiving pose data that includes image data associated with the individual being in a pose, selecting from a database a morphable 3D generic human model based on a gender of the individual, adjusting a pose of the morphable 3D generic model based on the image data, identifying, based on the image data, one or more 3D appearance parameter objects included in the database, and adjusting via one or more processors one or more properties of the morphable 3D generic model based on the image data as well as the one or more 3D appearance parameter objects to produce the 3D model of the individual.