Hölder Adaptive Image Synthesis

Simple SummaryContent extracted from patent full text and abstract with AI.

This invention presents a computer-implemented method to render images of 3D scenes by encoding the brightness (luminosity) at each point of the image using a mathematical function. The method involves selecting and combining certain functions and calculating their coefficients to accurately represent the light in an image. The coefficients and necessary data associations are stored for efficient processing and rendering.

Use CasesContent extracted from patent full text and abstract with AI.

• 3D rendering in video games and virtual reality environments
• Medical imaging where accurate rendering of 3D structures is important
• Architectural visualization and simulation
• Film and animation production for complex visual effects
• Scientific visualization of data with high fidelity

BenefitsContent extracted from patent full text and abstract with AI.

• Enables efficient and accurate computation of light distribution in rendered images
• Potentially improves the realism and quality of computer-generated imagery (CGI)
• Allows for adaptive image synthesis based on scene data, which can optimize rendering performance
• Reduces computational resources needed for complex image rendering in 3D scenes
• Supports flexible and scalable rendering workflows by storing reusable coefficients

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Patent Abstract

Computer implemented method for rendering an image of a three-dimensional scene on an image plane by encoding at least a luminosity in the image plane by a luminosity function. The value of the luminosity can be computed at substantially each point of the image plane by using a set of stored input data describing the scene. The method includes constructing the luminosity function as equivalent to a first linear combination involving the functions of a first set of functions, and computing at least the value of the coefficients of the first linear combination, by solving a first linear system, obtained by using at least the functions of the first linear combination, at least a subset of the first subset of the image plane, and the luminosity at the points of said subset. The method further includes storing the value of the coefficients of the first linear combination and at least the information needed to associate each coefficient to the function multiplying said coefficient in the first linear combination. The first set of functions comprises each function of a second set of functions satisfying a selection condition, which depends at least on the set of stored input data. Moreover, the points of the first subset are distributed according to a first distribution criterion, which depends on the location of the support of at least a function of the first set of functions.