Systems and methods for facilitating making partial selections of multidimensional information while maintaining a multidimensional structure
Various embodiments are directed to making partial selections of multidimensional information while maintaining a multidimensional structure. A server computing device may receive multidimensional data describing a structure of a physical object from one or more sources. The server computing device may then determine a data subset representative of the multidimensional data describing the structure of the physical object. The server computing device may then store the data subset on a storage device. Finally, the server computing device may send the data subset to a client computing device for displaying the structure of the physical object. The data subset may enable the client computing device to utilize fewer hardware computing processing, memory, and bandwidth resources to display the structure of the physical object than are associated with displaying the physical object using the multidimensional data. The client computing device may be incapable of displaying the multidimensional data.
1. A system for making partial selections of multidimensional information while maintaining a multidimensional structure, the system comprising:
at least one processor; and
at least one memory storing computer-executable instructions that when executed by the at least one processor, cause the system to:
receive, by a server computing device, multidimensional data describing a structure of a physical object from one or more sources, wherein the one or more sources comprises a Light Detection and Ranging (LiDAR) data source;
determine, by the server computing device, a data subset representative of the multidimensional data describing the structure of the physical object, wherein the data subset is determined by randomizing the multidimensional data to generate sample data that is smaller in size than the multidimensional data, wherein randomizing the multidimensional data comprises removing a temporal bias and a computational bias present in the multidimensional data, wherein the temporal bias and the computational bias comprise a statistical measure representing a recording of spatial information in the data set to a storage device over a plurality of time periods such that data points in the data set are spatially clustered leading to inaccuracies in the described structure of the physical object;
store, by the server computing device, the data subset on the storage device; and
send, by the server computing device, the data subset to a client computing device for displaying the structure of the physical object, wherein the data subset enables the client computing device to utilize fewer hardware computing processing, memory, and network bandwidth to display the structure of the physical object than are associated with displaying the physical object using the multidimensional data, wherein the client computing device is incapable of displaying the multidimensional data.
2. The system of claim 1 , wherein the multidimensional data is received as a plurality of separate data sets.
3. The system of claim 1 , wherein the multidimensional data comprises image data representing the physical object in three-dimensions.
4. The system of claim 1 , wherein the data subset is stored as a file on the storage device, the storage device comprising one or more cloud storage devices.
5. The system of claim 1 , wherein the data subset is sent in response to a request by the client computing device to receive a partial selection of the multidimensional data.
6. The system of claim 1 , wherein the data subset maintains an original structure of the physical object.
7. A computer-implemented method for making partial selections of multidimensional information while maintaining a multidimensional structure, at least a portion of the method being performed by a server computing device comprising at least one processor, the method comprising:
receiving, by the server computing device, multidimensional data describing a structure of a physical object from one or more sources, wherein the one or more sources comprises a Light Detection and Ranging (LiDAR) data source;
determining, by the server computing device, a data subset representative of the multidimensional data describing the structure of the physical object, wherein determining the data subset comprises randomizing the multidimensional data to generate sample data that is smaller in size than the multidimensional data, wherein randomizing the multidimensional data comprises removing a temporal bias and a computational bias present in the multidimensional data, wherein the temporal bias and the computational bias comprise a statistical measure representing a recording of spatial information in the data set to a storage device over a plurality of time periods such that data points in the data set are spatially clustered leading to inaccuracies in the described structure of the physical object;
storing, by the server computing device, the data subset on the storage device; and
sending, by the server computing device, the data subset to a client computing device for displaying the structure of the physical object, wherein the data subset enables the client computing device to utilize fewer hardware computing processing, memory, and network bandwidth to display the structure of the physical object than are associated with displaying the physical object using the multidimensional data, wherein the client computing device is incapable of displaying the multidimensional data.
8. The computer-implemented method of claim 7 , wherein the multidimensional data is received as a plurality of separate data sets.
9. The computer-implemented method of claim 7 , wherein the multidimensional data comprises image data representing the physical object in three-dimensions.
10. The computer-implemented method of claim 7 , wherein the data subset is stored as a file on the storage device, the storage device comprising one or more cloud storage devices.
11. The computer-implemented method of claim 7 , wherein the data subset is sent in response to a request by the client computing device to receive a partial selection of the multidimensional data.
12. The computer-implemented method of claim 7 , wherein the data subset maintains an original structure of the physical object.
13. A non-transitory computer-readable medium comprising one or more computer-readable instructions that, when executed by at least one processor of a server computing device, cause the server computing device to:
receive, multidimensional data describing a structure of a physical object from one or more sources, wherein the one or more sources comprises a Light Detection and Ranging (LiDAR) data source;
determine a data subset representative of the multidimensional data describing the structure of the physical object, wherein the data subset is determined by randomizing the multidimensional data to generate sample data that is smaller in size than the multidimensional data, wherein randomizing the multidimensional data comprises removing a temporal bias and a computational bias present in the multidimensional data, wherein the temporal bias and the computational bias comprise a statistical measure representing a recording of spatial information in the data set to a storage device over a plurality of time periods such that data points in the data set are spatially clustered leading to inaccuracies in the described structure of the physical object;
store the data subset on the storage device; and
send the data subset to a client computing device for displaying the structure of the physical object, wherein the data subset enables the client computing device to utilize fewer hardware computing processing, memory, and network bandwidth to display the structure of the physical object than are associated with displaying the physical object using the multidimensional data, wherein the client computing device is incapable of displaying the multidimensional data.
14. The non-transitory computer-readable medium of claim 13 , wherein the multidimensional data is received as a plurality of separate data sets.