Gemstone Virtual Modeling with HDRI and Ray-Tracing

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Solution Overview

Problem

Current methods for evaluating and modeling gemstones, particularly diamonds, are inadequate in accurately representing the visual appearance of internal flaws under various viewing conditions and lighting, leading to imprecise clarity grading and planning during the cutting process.

Innovation Solution

The development of a method using photorealistic three-dimensional modeling with High Dynamic Range Imaging (HDRI) and ray-tracing techniques to simulate the gemstone's appearance from any viewing position and under arbitrary lighting conditions, incorporating texture mapping and bidirectional reflectance distribution functions to accurately model inclusions and their optical properties.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If traditional clarity grading methods are used under fixed lighting conditions, then the grading process is simple and quick, but the accuracy and reliability of clarity assessment deteriorates due to inability to represent visual appearance under various viewing conditions

Engineering Contradiction:
Improveclarity grading accuracyVSAvoidmodeling system complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent creates virtual copies of gemstones through photorealistic 3D modeling, allowing multiple representations of the same gemstone under different lighting and viewing conditions. This copying approach enables accurate clarity assessment without requiring physical repositioning of the actual gemstone, resolving the contradiction between measurement precision and device complexity

Inventive Principle:
Principle #26Copying

Solution Approach 2:

The system varies lighting parameters, viewing angles, and camera parameters in the virtual model to assess clarity under multiple conditions. By changing these parameters computationally rather than physically, the system achieves high measurement precision without proportionally increasing device complexity

Inventive Principle:
Principle #35Parameter changes

2Measurement precision

If photorealistic 3D modeling with HDRI and ray-tracing is implemented, then the visual appearance and clarity grading accuracy are improved, but the computational complexity and processing time increase

Engineering Contradiction:
Improvevisual appearance representationVSAvoidmodeling processing time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The patent performs computationally intensive HDRI scanning and ray-tracing operations in advance to create detailed virtual models. Once the virtual model is created, clarity assessments can be performed quickly by simply varying lighting and viewing parameters in the pre-computed model, reducing real-time processing requirements

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system replaces physical manipulation of gemstones and traditional imaging equipment with computational methods. Ray-tracing algorithms and virtual camera simulations substitute for physical repositioning and multiple physical photographs, achieving high visual fidelity while reducing overall processing time

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

3Loss of information

If multiple images are captured from different positions and lighting conditions, then the completeness of inclusion data is improved, but the quantity of data and processing requirements increase

Engineering Contradiction:
Improveinclusion data completenessVSAvoiddata volume
Core Design Contradiction:
Loss of informationVSQuantity of substance

Solution Approach 1:

The patent transitions from capturing multiple 2D images to creating a single comprehensive 3D virtual model that encodes all inclusion information. This dimensional transformation consolidates data from multiple viewing angles and lighting conditions into one integrated model, improving data completeness while reducing overall data volume through efficient 3D representation

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

This approach enables the creation of highly accurate photorealistic virtual models of gemstones, allowing for precise clarity grading and improved planning, as well as enhanced assessment of gemstone value under real-world viewing conditions, overcoming the limitations of existing methods.

Implementation Method 1

ray-tracing techniques to simulate the gemstone's appearance from any viewing position and under arbitrary lighting conditions

Methodology Applied
Scientific EffectRay-tracing:

Implementation Method 2

bidirectional reflectance distribution functions to accurately model inclusions and their optical properties

Methodology Applied
Scientific EffectReflection: Reflection

Implementation Method 3

ray-tracing techniques to simulate the gemstone's appearance from any viewing position and under arbitrary lighting conditions

Methodology Applied
Scientific EffectRefraction: Refraction

Implementation Method 4

using photorealistic three-dimensional modeling with High Dynamic Range Imaging (HDRI)

Methodology Applied
Scientific EffectHigh Dynamic Range Imaging:

Data Source

PatentUS9292966B2Method and system for improved optical modeling of gemstones
Publication Date: 2016.03.22 IDEAL SCOPE
  • US9292966B2 patent drawing
  • US9292966B2 patent drawing
  • US9292966B2 patent drawing

AI summary

Methods of constructing a virtual model of a gemstone are provided. Aspects of the methods include performing measurements of the gemstone to construct a three-dimensional (3D) model of an exterior surface of the gemstone; identifying one or more visible inclusions within an interior volume of the gemstone; capturing at least one image of the inclusion; using the at least one image to determine relevant optical characteristics of the inclusion; and constructing a 3D virtual model of the inclusion.