PATENT CLAIM ANALYSIS

Application Number: 16167422
Application Type: Utility
Filing Date: 2018-10
Publication Date: 2019-08
Patent Classification: ["707", "737000"]

Abstract:
Methods and systems for converting a point cloud dataset into a hierarchical data structure for a lossless representation of an input file are provided herein. In various embodiments the method comprises recursing subtrees using a preordered traversal for a plurality of nodes, the preordered traversal being checking a parent node and then checking children nodes and stopping the recursing of the subtrees using the preordered traversal of the plurality of nodes when a node of the plurality of nodes is a below threshold node. The below threshold node being less than a configuration specified maximum number of data points, the below threshold node being a leaf of a tileset. Further comprising, aggregating the leaf of the tileset into a lossless representation of the collection of input files.

Claim (Index 22):
The method of  claim 21 , wherein the method further comprises:\n building the octree where at each level, a different level of detail of the point cloud dataset is provided; reading each of the data points in the point cloud dataset to determine to which cache each data point belongs, such that a data point position of a given data point is checked against the bounding volumes of the nodes at that cache level; inserting each of the data points in the point cloud dataset into their respective caches, based upon the reading of each of the data points; and writing cache buffers to disk even if the cache buffers are not full.

Metadata:
- Claim Count in Document: 7.0
- Percentile: 97.0
- Lexical Diversity: 2.12698
- Patent Class: 707.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['13156213', '12515235', '09872810', '12697342', '15658566']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2074937359261759
- 35 USC 102 Novelty (BERT): 0.4789959852431367
- Combined Prediction Score: 0.234643960857872
- Mean Citation Score: 157.928378
- Max Citation Score: 178.46152
- Similarity Product: 126.01827198137283

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test