18527770. MOTION VECTOR OPTIMIZATION FOR MULTIPLE REFRACTIVE AND REFLECTIVE INTERFACES simplified abstract (NVIDIA Corporation)
Contents
- 1 MOTION VECTOR OPTIMIZATION FOR MULTIPLE REFRACTIVE AND REFLECTIVE INTERFACES
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 MOTION VECTOR OPTIMIZATION FOR MULTIPLE REFRACTIVE AND REFLECTIVE INTERFACES - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 How does this technology compare to existing motion vector determination methods in terms of accuracy and efficiency?
- 1.11 Are there any limitations or constraints in the application of this technology to real-world scenarios?
- 1.12 Original Abstract Submitted
MOTION VECTOR OPTIMIZATION FOR MULTIPLE REFRACTIVE AND REFLECTIVE INTERFACES
Organization Name
Inventor(s)
Pawel Kozlowski of Truckee CA (US)
Maksim Aizenshtein of Sammamish WA (US)
MOTION VECTOR OPTIMIZATION FOR MULTIPLE REFRACTIVE AND REFLECTIVE INTERFACES - A simplified explanation of the abstract
This abstract first appeared for US patent application 18527770 titled 'MOTION VECTOR OPTIMIZATION FOR MULTIPLE REFRACTIVE AND REFLECTIVE INTERFACES
Simplified Explanation
The patent application abstract describes a system and method for determining accurate motion vectors in rendering situations involving translucent object surfaces and noisy Monte Carlo integration. The invention optimizes the search for real-world positions by defining the background as first path vertices visible through multiple layers of refractive interfaces, treating the background as a single layer morphing in a chaotic way, and applying numerical optimization techniques to locate pixels via vector angle minimization.
- Background defined as first path vertices visible through multiple layers of refractive interfaces
- Background treated as a single layer morphing in a chaotic way
- Numerical optimization techniques applied to locate pixels via vector angle minimization
- Motion vectors determined can be used for image denoising services
Potential Applications
The technology can be applied in various fields such as computer graphics, animation, virtual reality, and image processing.
Problems Solved
1. Determining accurate motion vectors in rendering situations involving translucent object surfaces and noisy Monte Carlo integration. 2. Optimizing the search for real-world positions in complex visual scenarios.
Benefits
1. Improved accuracy in determining motion vectors for rendering. 2. Enhanced performance over prior linear gradient descent methods. 3. Efficient execution of the optimized algorithm by treating the background as a single layer morphing in a chaotic way.
Potential Commercial Applications
The technology can be utilized in industries such as entertainment (animation studios, game development), virtual reality applications, image processing software, and computer graphics research.
Possible Prior Art
One possible prior art could be the use of linear gradient descent methods for determining motion vectors in rendering scenarios. However, the present invention improves upon this by applying numerical optimization techniques and treating the background as a single layer morphing in a chaotic way.
Unanswered Questions
How does this technology compare to existing motion vector determination methods in terms of accuracy and efficiency?
The article does not provide a direct comparison between this technology and existing methods in terms of accuracy and efficiency. Further research or testing may be needed to evaluate the performance of this innovation against traditional approaches.
Are there any limitations or constraints in the application of this technology to real-world scenarios?
The article does not discuss any potential limitations or constraints in the application of this technology to real-world scenarios. It would be important to investigate any practical challenges that may arise when implementing this innovation in different contexts.
Original Abstract Submitted
Systems and methods relate to the determination of accurate motion vectors, for rendering situations such as a noisy Monte Carlo integration where image object surfaces are at least partially translucent. To optimize the search for “real world” positions, this invention defines the background as first path vertices visible through multiple layers of refractive interfaces. To find matching world positions, the background is treated as a single layer morphing in a chaotic way, permitting the optimized algorithm to be executed only once. Further improving performance over the prior linear gradient descent, the present techniques can apply a cross function and numerical optimization, such as Newton's quadratic target or other convergence function, to locate pixels via a vector angle minimization. Determined motion vectors can then serve as input for services including image denoising.
