PATENT CLAIM ANALYSIS

Application Number: 15940702
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2019-10
Patent Classification: ["345", "629000"]

Abstract:
A computer-implemented technique is described herein for generating a digital representation of real-world surfaces in an environment. The technique involves receiving sensor data captured by one or more depth-sensing devices. The technique then provides a low-detail (LD) representation of surfaces in the physical environment based on the sensor data; that LD representation describes one or more planes in the physical environment. The technique then generates a high-detail (HD) representation of the surfaces based on the sensor data and the LD representation. Finally, the technique provides an output result based on the LD representation and/or the HD representation. According to one illustrative aspect, the technique produces the HD representation such that it is non-duplicative of information that is already present in the LD representation. The technique performs this task by identifying and excluding HD information that is already adequately represented by the LD representation.

Claim (Index 9):
The one or more computing devices of  claim 6 , wherein said deciding comprises including a candidate mesh triangle if at least one of its vertices lies outside of the distance D to a nearest plane and at least one of its vertices lies within the distance D to the nearest plane, but only after having moved any vertex that lies within the distance D to the nearest plane.

Metadata:
- Claim Count in Document: 4.0
- Percentile: 90.0
- Lexical Diversity: 2.21127
- Patent Class: 345.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['12064368', '15872181', '14735789', '10884978', '15859182']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6484847484924918
- 35 USC 102 Novelty (BERT): 0.4892031756792744
- Combined Prediction Score: 0.6325565912111701
- Mean Citation Score: 151.111286
- Max Citation Score: 161.76425
- Similarity Product: 104.66379583925008

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