18444490. HYBRID GEOMETRIC PRIMITIVE REPRESENTATION FOR POINT CLOUDS simplified abstract (TOYOTA JIDOSHA KABUSHIKI KAISHA)
Contents
HYBRID GEOMETRIC PRIMITIVE REPRESENTATION FOR POINT CLOUDS
Organization Name
TOYOTA JIDOSHA KABUSHIKI KAISHA
Inventor(s)
Xiangru Huang of Zheijang (CN)
Marianne Arriola of Cambridge MA (US)
Vitor Campagnolo Guizilini of Santa Clara CA (US)
Rares Andrei Ambrus of San Francisco CA (US)
Justin Solomon of Somerville MA (US)
HYBRID GEOMETRIC PRIMITIVE REPRESENTATION FOR POINT CLOUDS - A simplified explanation of the abstract
This abstract first appeared for US patent application 18444490 titled 'HYBRID GEOMETRIC PRIMITIVE REPRESENTATION FOR POINT CLOUDS
The abstract of the patent application describes a method for generating a visual representation of an environment based on a point cloud. This method involves hierarchically processing the point cloud to create multiple groups of primitives and sets of points, as well as generating intermediate sets associated with the point cloud. These intermediate sets have the same granularity level and are used to determine features associated with each set in a sequence of intermediate sets. The visual representation is then generated based on these features.
- Hierarchically processing a point cloud to generate groups of primitives and sets of points
- Creating intermediate sets associated with the point cloud, each with the same granularity level
- Determining features for each set in a sequence of intermediate sets, including features of primitives and points
- Generating a visual representation based on the features of the intermediate sets
Potential Applications: - 3D modeling and visualization - Augmented reality applications - Autonomous navigation systems - Environmental monitoring and analysis - Virtual reality experiences
Problems Solved: - Efficient generation of visual representations from point clouds - Hierarchical processing for improved accuracy and detail - Feature-based representation for better understanding of environments
Benefits: - Enhanced visualization of complex environments - Improved accuracy in representing spatial data - Scalable method for processing large point clouds - Versatile application in various industries - Facilitates data analysis and decision-making processes
Commercial Applications: Title: "Advanced 3D Visualization Technology for Environmental Analysis and Navigation Systems" This technology can be utilized in industries such as urban planning, construction, architecture, geospatial mapping, and virtual reality gaming. It offers a sophisticated approach to visualizing and analyzing spatial data, making it valuable for companies seeking innovative solutions for environmental modeling and navigation systems.
Questions about 3D Visualization Technology: 1. How does this method improve the accuracy of visual representations compared to traditional techniques? 2. What are the potential limitations or challenges of implementing this technology in real-world applications?
Original Abstract Submitted
A method for generating a visual representation of an environment based on a point cloud includes hierarchically processing the point cloud with different granularity levels to generate multiple groups of primitives and multiple sets of points. The method also includes generating a group of intermediate sets associated with the point cloud, each intermediate set associated with one of the multiple groups of primitives and one of the multiple sets of points, having a same granularity level. The method further includes iteratively determining respective features associated with each intermediate set of a sequence of intermediate sets, each intermediate set included the set of primitives and the set of points, the respective features including first features of the set of primitives and second features of the set of points. The method still further includes generating the visual representation based on the respective features of each one of the sequence of intermediate sets.
