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 6):
The system of  claim 4 , wherein to generate the smooth reference surface and the smooth template surface, the change detection module ( 216 ) is configured to:\n estimate a local reference surface for each point of the processed reference point-cloud and a local template surface for each point of the processed template point-cloud, by:\n identifying local neighborhood comprising a plurality of neighbor points for each point of the processed reference point-cloud and each point of the processed template point-cloud; and \n identifying a local reference planar surface represented by the corresponding plurality of neighbor points and a local template planar surface represented by the corresponding plurality of neighbor points, wherein the local reference planar surface and the local template planar surface is estimated such that the summation of the weighted distances between the plurality of neighbor points and projections of the plurality of neighbor points on the local reference surface and the local template surface is minimized; \n projecting each point of the processed reference point-cloud on the corresponding local reference planar surface and each point of the processed template point-cloud on the corresponding local template planar surface, wherein each projected point from the reference point-cloud is considered as origin of a local reference coordinate system and each projected point from the template point-cloud is considered as origin of a local template coordinate system; and \n estimating each of the local reference surface and the local template surface by a corresponding polynomial in two variables, wherein values of the variables represent coordinates of corresponding projected point in terms of the local reference system, wherein the corresponding polynomials approximate height of the plurality of neighbor points from the local reference planar surface and the local template planar surface by minimizing the differences between the actual height of the plurality of neighbor points from the local reference planar surface and the corresponding heights as approximated by the polynomial.

Metadata:
- Claim Count in Document: 17.0
- Percentile: 88.0
- Lexical Diversity: 1.58974
- Patent Class: 345.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15729469', '15872557', '14800078', '15349837', '14324891']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5924164761654089
- 35 USC 102 Novelty (BERT): 0.508210100883888
- Combined Prediction Score: 0.5839958386372569
- Mean Citation Score: 197.96079200000003
- Max Citation Score: 221.77916
- Similarity Product: 139.00744985886334

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