Photometric 3D Depth Extraction for Complex Surface Materials
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Solution Overview
Problem
Existing software development platforms require deep expertise in operating system behavior, device characteristics, and domain-specific programming languages, limiting the rapid development of media-rich applications across multiple platforms, and traditional photometric approaches struggle with complex materials like glossy, rough, and anisotropic surfaces.
Innovation Solution
A platform and development environment that leverages existing software languages and libraries, enabling rapid development of robust applications with device capabilities like 3D, mapping, and AR/VR, and a method for photometric analysis that adjusts illumination and camera angles to characterize complex surfaces.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional photometric approaches are used to measure surface properties, then the measurement process is simple, but the accuracy of depth extraction fails for complex materials like glossy, rough, and anisotropic surfaces
Solution Approach 1:
The system dynamically adjusts illumination angles and camera positions to capture images from multiple viewpoints. This dynamic reconfiguration allows the system to adapt to different material properties (glossy, rough, anisotropic) and extract accurate depth information that static photometric approaches cannot obtain
Solution Approach 2:
The system transitions from traditional 2D photometric analysis to 3D depth extraction by capturing images from multiple angles and synthesizing depth maps. This dimensional expansion enables accurate measurement of complex surfaces by analyzing how light interacts with surface geometry from different perspectives
2Productivity
If existing software development platforms are used, then development can proceed with standard tools, but deep expertise in operating system behavior and device characteristics is required
Solution Approach 1:
The patent introduces an intermediary layer (the cross-platform development system) that abstracts away OS-specific and device-specific complexities. This intermediary handles platform differences, allowing developers to write code once and deploy to multiple platforms without needing deep expertise in each operating system's behavior
Solution Approach 2:
The development platform provides universal functionality that works across multiple operating systems and device types. By creating a unified development environment that handles platform-specific variations internally, the system enables rapid development without requiring developers to specialize in each platform
Data Source
AI summary
According to some embodiments of the present disclosure, the disclosure relates to an application system and server kit that create and serve digital twin-enabled applications. This disclosure also relates to a hub-and-spoke classification system. This disclosure also relates to a location-based services framework that leverages a generative content process to improve location prediction. This disclosure also relates to virtual reality and augmented reality applications, as well as digital agents that support various types of applications. This disclosure also relates to systems and methods for photometrically extracting information about objects and their features, including three-dimensional depth and related features.