Alphabet. has been granted a patent for systems and methods that enable simulated light-in-flight imaging. The technology processes optical images and depth maps to create images or videos that mimic wavefront propagation, adjusting pixel brightness based on simulated light scattering effects. GlobalData’s report on Alphabet gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on Alphabet, was a key innovation area identified from patents. Alphabet's grant share as of June 2024 was 61%. Grant share is based on the ratio of number of grants to total number of patents.
Simulated light-in-flight imaging using optical images and depth maps
The patent US12045933B2 outlines a method and system for generating light-in-flight images that simulate light scattering effects based on optical images and corresponding depth maps. The process begins with the generation of an optical simulation output that reflects the scattering effects of a simulated wavefront. This output is derived from a three-dimensional data structure created from the depth map, which is then filtered using a convolutional operator, such as a Gaussian sphere. The method includes adjusting the brightness of specific pixels in the optical image according to the simulation output and the wavefront's location at a defined timestamp, ultimately producing a light-in-flight image.
Additionally, the patent describes a mobile device equipped with an optical camera and a depth camera, along with a processor that executes the aforementioned method. The device is capable of generating multiple light-in-flight image frames based on the optical image, depth map, and timing parameters that define the movement of the light pulse's wavefront across the scene. These frames can be assembled into a light-in-flight video, effectively simulating the propagation of the wavefront. The method emphasizes the importance of accurately determining wavefront depth using the speed of light and the defined timestamp, ensuring that the resulting images and videos accurately represent the dynamics of light as it interacts with the scene.
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