View source for Nvidia corporation (20240104831). TECHNIQUES FOR LARGE-SCALE THREE-DIMENSIONAL SCENE RECONSTRUCTION VIA CAMERA CLUSTERING simplified abstract

=TECHNIQUES FOR LARGE-SCALE THREE-DIMENSIONAL SCENE RECONSTRUCTION VIA CAMERA CLUSTERING=


==Organization Name==

[[:Category:nvidia corporation|nvidia corporation]]


[[Category:nvidia corporation]]

==Inventor(s)==

[[:Category:Yen-Chen Lin of Cambridge MA (US)|Yen-Chen Lin of Cambridge MA (US)]][[Category:Yen-Chen Lin of Cambridge MA (US)]]

[[:Category:Valts Blukis of Kirkland WA (US)|Valts Blukis of Kirkland WA (US)]][[Category:Valts Blukis of Kirkland WA (US)]]

[[:Category:Dieter Fox of Seattle WA (US)|Dieter Fox of Seattle WA (US)]][[Category:Dieter Fox of Seattle WA (US)]]

[[:Category:Alexander Keller of Berlin (DE)|Alexander Keller of Berlin (DE)]][[Category:Alexander Keller of Berlin (DE)]]

[[:Category:Thomas Mueller-hoehne of Zurich (CH)|Thomas Mueller-hoehne of Zurich (CH)]][[Category:Thomas Mueller-hoehne of Zurich (CH)]]

[[:Category:Jonathan Tremblay of Redmond WA (US)|Jonathan Tremblay of Redmond WA (US)]][[Category:Jonathan Tremblay of Redmond WA (US)]]

==TECHNIQUES FOR LARGE-SCALE THREE-DIMENSIONAL SCENE RECONSTRUCTION VIA CAMERA CLUSTERING - A simplified explanation of the abstract==


This abstract first appeared for US patent application 20240104831 titled 'TECHNIQUES FOR LARGE-SCALE THREE-DIMENSIONAL SCENE RECONSTRUCTION VIA CAMERA CLUSTERING

==Simplified Explanation==

The abstract describes a method for generating representations of scenes based on a set of images and camera poses.

* Assign each image in a set of images to one or more clusters based on the associated camera pose.
* Generate a three-dimensional representation of the scene for each cluster based on the images assigned to it.

== Potential Applications ==
This technology could be used in various fields such as virtual reality, augmented reality, gaming, and computer-aided design.

== Problems Solved ==
This technology solves the problem of efficiently generating three-dimensional representations of scenes from a set of images taken from different perspectives.

== Benefits ==
The benefits of this technology include accurate and detailed three-dimensional representations of scenes, which can be useful for visualization, simulation, and analysis purposes.

== Potential Commercial Applications ==
* "Enhancing Virtual Reality Experiences with Advanced Scene Representations"

== Possible Prior Art ==
There may be prior art related to image clustering and three-dimensional scene reconstruction techniques, but specific examples are not provided in this context.

=== What are the limitations of this method in terms of the size of the scene that can be effectively represented? ===

The method may face challenges in representing very large scenes with a high level of detail due to computational limitations and memory constraints.

=== How does this method handle occlusions and overlapping objects in the scene? ===

The method may struggle to accurately represent scenes with occlusions and overlapping objects, leading to potential inaccuracies in the generated three-dimensional representations.


==Original Abstract Submitted==

one embodiment of a method for generating representations of scenes includes assigning each image included in a set of images of a scene to one or more clusters of images based on a camera pose associated with the image, and performing one or more operations to generate, for each cluster included in the one or more clusters, a corresponding three-dimensional (3d) representation of the scene based on one or more images assigned to the cluster.



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