Amazon has been granted a patent for a computer-implemented method that involves capturing images of objects from various views and creating a three-dimensional object mesh structure based on these images. The method also includes creating synthetic images of the object from arbitrary viewpoints, prefetching images for future use, and overlaying synthetic images on the object mesh structure. GlobalData’s report on Amazon 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 Amazon, Dynamic premium pricing was a key innovation area identified from patents. Amazon's grant share as of September 2023 was 81%. Grant share is based on the ratio of number of grants to total number of patents.
Creating synthetic images of objects from different viewpoints
A recently granted patent (Publication Number: US11776211B2) describes a computer-implemented method and system for generating synthetic images of objects from different views. The method involves receiving a plurality of images of an object and a request to view the object from a specific view. The system then determines a subset of images that align with the requested view and creates alpha masks based on the images. Using this subset of images, a first synthetic image of the object from the requested view is generated.
The patent also introduces the concept of predicting future view requests and pre-fetching a different subset of images based on this prediction. This allows for faster loading and smoother transitions between views. A three-dimensional object mesh structure is created, overlaid with the first synthetic image, and manipulated to overlay a second synthetic image generated using the pre-fetched subset of images corresponding to the predicted view.
The system can be implemented on a mobile device, where the first synthetic image overlaying the three-dimensional object mesh structure is displayed. In response to a second request for a different view, the system determines a new subset of images, including at least one image from the previous subset, and loads them into memory. This ensures efficient memory usage and minimizes data transfer.
The patent also describes techniques for generating weighted composites of the image subsets. The weights for individual images in the subset are determined based on factors such as the angle between the captured views and the requested view or the visibility of a reference point in the images. These weighted composites enhance the quality and accuracy of the synthetic images.
Overall, this patent presents a computer-implemented method and system for generating synthetic images of objects from different views. The use of subsets of images, alpha masks, and weighted composites improves the efficiency and quality of the generated images. The ability to predict future view requests and pre-fetch images allows for faster loading and smoother transitions. This technology has potential applications in various fields, including virtual reality, augmented reality, and e-commerce.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
