Williams Sonoma has been granted a patent for techniques that generate a specific perspective of a scene by using object views without perspective distortions. The method involves populating the scene with pixels from existing images of objects and interpolating additional pixels. GlobalData’s report on Williams Sonoma gives a 360-degree view of the company including its patenting strategy. Buy the report here.
According to GlobalData’s company profile on Williams Sonoma, was a key innovation area identified from patents. Williams Sonoma's grant share as of January 2024 was 81%. Grant share is based on the ratio of number of grants to total number of patents.
Generating prescribed perspective of a scene using object views
A recently granted patent (Publication Number: US11875451B2) outlines a method for generating a prescribed perspective of a scene by receiving a specification of the scene with objects specified using object views free of perspective distortions. The method involves populating the prescribed perspective with pixels from existing images of the objects and interpolating pixels as needed. The patent emphasizes the use of orthographic views for object specifications and normalization of existing images to the prescribed perspective, ensuring accurate depth and relative depth in the generated scene.
Furthermore, the patent extends to a system and a computer program product embodying the method, with a processor configured to receive scene specifications and generate the prescribed perspective. The system and computer program product also prioritize the use of orthographic views and normalization techniques for existing images to maintain accuracy in depth representation. The inclusion of metadata such as camera information, object location, lighting details, and pixel metadata enhances the fidelity of the generated scene, which can be a still image or a frame of a video sequence. Overall, the patent aims to facilitate the creation of visually appealing and accurate scenes by leveraging existing images and object views that are free of perspective distortions, ensuring a high level of detail and realism in the final output.
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