Digital Human Creation Through Automated Capture and Data Segmentation
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Solution Overview
Problem
Current human scanning sessions are inefficient, confusing for subjects, result in incomplete image capture, generate excessive data, and require costly computing infrastructure for storage and processing.
Innovation Solution
A method and system for capturing and processing images using a distributed computing environment with automated instructions, simultaneous photometric and photogrammetry data capture, metadata synchronization, and secure storage in a centralized database.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If current human scanning sessions are used to capture subject images, then image capture can be performed, but the process becomes inefficient and confusing for the subject resulting in incomplete image capture
Solution Approach 1:
The system uses automated scripts that monitor the subject and automatically proceed through instructions without requiring the subject to manually follow complex directions. The subject simply reacts naturally while the system autonomously manages the capture process, eliminating confusion and improving efficiency.
Solution Approach 2:
The system prepares and presents a structured set of instructions in advance that guide the subject through required movements and expressions. This preliminary preparation ensures all necessary images are captured systematically without requiring the subject to understand complex real-time directions.
2Quantity of substance
If current image capture pipelines are used to capture subject images, then images can be obtained, but a large amount of data is generated creating difficulties in storage, organization, and processing
Solution Approach 1:
The system divides the captured image data into two separate types: photometric data (for lighting and color information) and photogrammetry data (for 3D geometric information). This segmentation allows each data type to be processed and stored independently using optimized methods, reducing overall system complexity.
Solution Approach 2:
The system extracts and separates essential information from raw captured data, keeping only the necessary photometric and photogrammetry data for digital human creation. This extraction reduces the total data volume that requires storage and processing infrastructure.
3Power
If centralized processing tools are used to process captured images, then image processing can be performed, but costly computing infrastructure is required with severe limitations in storage and bandwidth
Solution Approach 1:
The processing system is divided into separate modules that handle photometric data and photogrammetry data independently. This segmentation allows processing to be distributed across multiple devices or locations, reducing the need for a single costly centralized computing infrastructure.
Solution Approach 2:
The system creates digital models (copies) of the subject from captured images, allowing the actual subject to be photographed only once while the digital copy can be reused for multiple purposes. This reduces the need for repeated expensive processing sessions.
Data Source
AI summary
The present disclosure provides, among other things, systems and methods for producing digital content in a time and memory-efficient manner. Among other things, the disclosed systems and methods enable a more efficient approach to (i) capturing image and metadata content of a subject, (ii) processing image and metadata content of a subject, (iii) storing data content of a subject, (iv) accessing and utilizing image content of a subject, (v) generating unique video content that includes a virtualization of the subject (e.g., a hyper model or virtual model) based on the stored image content of the subject, and/or (vi) securely limiting access to the image content of a subject.