Zillow Group. has been granted a patent for a method that utilizes computing devices to analyze photos of buildings, generating mapping information such as floor plans. This technology enables automated visualizations and can assist in navigation for devices like autonomous vehicles, without requiring depth measurement data. GlobalData’s report on Zillow Group gives a 360-degree view of the company including its patenting strategy. Buy the report here.
According to GlobalData’s company profile on Zillow Group, 3d modelling and rendering was a key innovation area identified from patents. Zillow Group's grant share as of July 2024 was 57%. Grant share is based on the ratio of number of grants to total number of patents.
Automated generation of building floor plans from photos
The patent US12056900B2 outlines a computer-implemented method for processing and visualizing perspective photos taken within a building. The method involves obtaining multiple perspective photos from various acquisition locations, ensuring that each room is represented. The system analyzes these photos to determine relative positional information, including directional relationships between acquisition locations, by identifying matching features across the images. This information is then used to generate multiple sub-graphs, each representing a distinct subset of acquisition locations. The sub-graphs are presented in a graphical user interface (GUI), displaying visual data from the photos alongside structural information, such as walls and openings, in a manner that reflects their spatial relationships.
Additionally, the method allows for user interaction through the GUI, enabling users to select nodes within the sub-graphs to view corresponding photos and additional information. The system can also update the visualizations based on user feedback or new data, such as additional photos or adjustments to the structural information. The patent emphasizes the use of machine learning models to enhance the analysis of visual data, enabling the identification of structural shapes and spatial relationships. Overall, this technology aims to provide a comprehensive and interactive visualization of building interiors, facilitating better understanding and navigation of the space.
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