View source for 20240029384. 3-D Reconstruction Using Augmented Reality Frameworks simplified abstract (HOVER INC.)

=3-D Reconstruction Using Augmented Reality Frameworks=


==Organization Name==

[[:Category:HOVER INC.|HOVER INC.]]


[[Category:HOVER INC.]]

==Inventor(s)==

[[:Category:Manish Upendran of San Francisco CA (US)|Manish Upendran of San Francisco CA (US)]][[Category:Manish Upendran of San Francisco CA (US)]]

[[:Category:William Castillo of Belmont CA (US)|William Castillo of Belmont CA (US)]][[Category:William Castillo of Belmont CA (US)]]

[[:Category:Jena Dzitsiuk of San Francisco CA (US)|Jena Dzitsiuk of San Francisco CA (US)]][[Category:Jena Dzitsiuk of San Francisco CA (US)]]

[[:Category:Yunwen Zhou of Belmont CA (US)|Yunwen Zhou of Belmont CA (US)]][[Category:Yunwen Zhou of Belmont CA (US)]]

[[:Category:Matthew Thomas of San Francisco CA (US)|Matthew Thomas of San Francisco CA (US)]][[Category:Matthew Thomas of San Francisco CA (US)]]

==3-D Reconstruction Using Augmented Reality Frameworks - A simplified explanation of the abstract==


This abstract first appeared for US patent application 20240029384 titled '3-D Reconstruction Using Augmented Reality Frameworks

==Simplified Explanation==

The patent application describes a system and method for scaling a 3D representation of a building structure. Here is a simplified explanation of the abstract:

* Obtaining images of the building structure, including non-camera anchors.
* Identifying reference poses for the images based on the non-camera anchors.
* Obtaining world map data with real-world poses for the images.
* Selecting candidate poses from the real-world poses based on corresponding reference poses.
* Calculating a scaling factor for the 3D representation based on correlating the reference poses with the selected candidate poses.
* Using structure from motion techniques, lidar, and augmented reality frameworks to scale the 3D representations.
* The world map data may include environmental data, such as illumination data.
* Generating or displaying the 3D representation.

Potential applications of this technology:

* Architectural design and planning: The system can help architects and designers create accurate 3D representations of building structures, allowing for better visualization and planning.
* Construction and engineering: The scaled 3D representations can assist in construction and engineering projects by providing accurate measurements and visualizations of the building structure.
* Real estate: The system can be used to create virtual tours or models of buildings, enhancing the marketing and sales process for real estate agents and developers.
* Urban planning: The technology can aid in urban planning by providing accurate 3D representations of existing buildings and structures, allowing for better analysis and decision-making.

Problems solved by this technology:

* Accurate scaling: The system solves the problem of accurately scaling a 3D representation of a building structure by using reference poses and real-world poses to calculate a scaling factor.
* Non-camera anchors: The inclusion of non-camera anchors in the images helps in identifying reference poses and improving the accuracy of the scaling process.
* Environmental data: The system addresses the need for environmental data, such as illumination data, to be included in the world map data, allowing for more realistic and accurate 3D representations.

Benefits of this technology:

* Improved accuracy: By using reference poses and real-world poses, the system can achieve a more accurate scaling of the 3D representation, leading to better visualization and planning.
* Time and cost savings: The use of structure from motion techniques, lidar, and augmented reality frameworks can streamline the scaling process, saving time and reducing costs compared to traditional methods.
* Enhanced visualization: The generated or displayed 3D representation can provide a realistic and immersive experience, aiding in design, construction, and marketing efforts.
* Better decision-making: The accurate and detailed 3D representations can assist in making informed decisions in architectural design, construction, real estate, and urban planning.


==Original Abstract Submitted==

system and method are provided for scaling a 3-d representation of a building structure. the method includes obtaining images of the building structure, including non-camera anchors. the method also includes identifying reference poses for images based on the non-camera anchors. the method also includes obtaining world map data including real-world poses for the images. the method also includes selecting candidate poses from the real-world poses based on corresponding reference poses. the method also includes calculating a scaling factor for a 3-d representation of the building structure based on correlating the reference poses with the selected candidate poses. some implementations use structure from motion techniques or lidar, in addition to augmented reality frameworks, for scaling the 3-d representations of the building structure. in some implementations, the world map data includes environmental data, such as illumination data, and the method includes generating or displaying the 3-d representation.



[[Category:G06T19/20]]
[[Category:G06T7/73]]