PATENT CLAIM ANALYSIS

Application Number: 15898160
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2019-03
Patent Classification: ["345", "419000"]

Abstract:
Methods and systems for change detection utilizing three dimensional (3D) point-cloud processing are provided. The method includes detecting changes in the surface based on a surface fitting approach with a locally weighted Moving Least Squares (MLS) approximation. The method includes acquiring and comparing surface geometry of a reference point-cloud defining a reference surface and a template point-cloud defining a template surface at local regions or local surfaces using the surface fitting approach. The method provides effective change detection for both, rigid as well as non-rigid changes, reducing false detections due to presence of noise and is independent of factors such as texture or illumination of an object or scene being tracked for changed detection.

Claim (Index 8):
The non-transitory of  claim 7 , wherein the steps for performing the subsampling to provide the processed reference point-cloud and the processed template point-cloud comprise:\n identifying a first point-cloud and a second point-cloud among the reference point-cloud and the template point-cloud for sub-sampling, wherein the first point-cloud comprises higher density of points and the second point-cloud comprises lower density of points; assigning a parameter to each point of the first point-cloud, wherein the parameter is initialized to zero value indicating that the point is not required to be sampled; setting each point of the first point-cloud in the kd-tree, wherein each point is defined by 3D-coordinates; identifying a closest point from the first point-cloud for each point of the second point-cloud, wherein the closest point is identified from the kd-tree and is defined by 3D-coordinates; determining a sub-sampling distance between the each point of the second point-cloud and the corresponding closest point from the first point-cloud; and generating a sub-sampled first point-cloud by retaining the closest point from the first point-cloud in the sub-sampled first point-cloud if the determined sub-sampling distance is below a threshold t 1  or above a predefined subsampling threshold t 2 , wherein t 2  is greater than t 1 .

Metadata:
- Claim Count in Document: 17.0
- Percentile: 88.0
- Lexical Diversity: 1.58974
- Patent Class: 345.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15729469', '15872557', '14800078', '15349837', '14324891']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6218133577335452
- 35 USC 102 Novelty (BERT): 0.5059258046658914
- Combined Prediction Score: 0.6102246024267798
- Mean Citation Score: 197.96079200000003
- Max Citation Score: 221.77916
- Similarity Product: 147.72102328843116

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 0
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test