Nvidia corporation (20240104831). TECHNIQUES FOR LARGE-SCALE THREE-DIMENSIONAL SCENE RECONSTRUCTION VIA CAMERA CLUSTERING simplified abstract
Contents
- 1 TECHNIQUES FOR LARGE-SCALE THREE-DIMENSIONAL SCENE RECONSTRUCTION VIA CAMERA CLUSTERING
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 TECHNIQUES FOR LARGE-SCALE THREE-DIMENSIONAL SCENE RECONSTRUCTION VIA CAMERA CLUSTERING - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
TECHNIQUES FOR LARGE-SCALE THREE-DIMENSIONAL SCENE RECONSTRUCTION VIA CAMERA CLUSTERING
Organization Name
Inventor(s)
Yen-Chen Lin of Cambridge MA (US)
Valts Blukis of Kirkland WA (US)
Alexander Keller of Berlin (DE)
Thomas Mueller-hoehne of Zurich (CH)
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.
