Lidar point cloud compression
AssigneeCelartem, Inc.
InventorJohn Hayes
Life of this patent
Estimating the term…
Abstract
Using LIDAR technology, terabytes of data are generated which form massive point clouds. Such rich data is a blessing for signal processing and analysis but also is a blight, making computation, transmission, and storage prohibitive. The disclosed subject matter includes a technique to convert a point cloud into a form that is susceptible to wavelet transformation permitting compression that is nearly lossless.
Claims15
A system for compressing a point cloud, comprising:
- a time series converter configured to receive vectors of the point cloud, and further configured to sort the vectors of the point cloud in accordance with ordinal references that are indicative of the order in which the data of the vectors were collected;
- and
- a pipelined wavelet transformer comprising multiple pipeline stages all configured to receive results of the time series converter to produce coefficients that facilitate compression to produce a compressed point cloud.
A method for compressing a point cloud, comprising:
- converting vectors of the point cloud in a computer in accordance with ordinal references that are indicative of the order in which the data of the vectors were collected;
- and
- compressing using wavelet transformation in multiple pipeline stages all configured to receive results of the act of converting to produce coefficients that facilitate compression to produce a compressed point cloud.
A computer-readable medium having computer-executable instructions stored thereon for implementing a method for compressing a point cloud, comprising:
- converting vectors of the point cloud in accordance with ordinal references that are indicative of the order in which the data of the vectors were collected;
- and
- compressing using wavelet transformation in multiple pipeline stages all configured to receive results of the act of converting to produce coefficients that facilitate compression to produce a compressed point cloud.
Dependencies are inferred from the claim text.