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 February 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 comprising multiple 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 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 described. The system includes a processor configured to receive scene specifications and generate the prescribed perspective, while the computer program product comprises instructions for executing the method. Both the system and the program product emphasize the importance of object views free of perspective distortions, enabling manipulation and placement of objects in the scene with accurate depth representation. The inclusion of metadata such as camera information, object location, and lighting details in the existing images further enhances the realism and accuracy of the generated perspective, whether in the form of a still image or a frame of a video sequence.
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