PATENT CLAIM ANALYSIS

Application Number: 15943663
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-10
Patent Classification: ["345", "419000"]

Abstract:
A 3D model reconstruction method includes: providing, by one or more laser emitters, laser beams; capturing, by a depth camera on an electronic device, a depth data of a target object when that the electronic device moves around the target object; detecting, by one or more light sensors on the electronic device, the laser beams emitted by the one or more laser emitters to obtain a camera pose initial value of the depth camera accordingly; and performing, by a processing circuit, a 3D reconstruction of the target object using the depth data based on the camera pose initial value to output a 3D model of the target object.

Claim (Index 18):
The non-transitory computer readable storage medium as claimed in  claim 17 , further comprising instructions, which when executed, causes the processing circuit to further perform operations comprising:\n converting the depth data obtained at the first time point to a first cloud of points by applying a depth map conversion; converting the depth data obtained at the second time point to a second cloud of points by applying the depth map conversion; and performing an iterative closest point to minimize a difference between the first cloud of points and the second cloud of points based on the camera pose initial value to estimate the camera pose.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 91.0
- Lexical Diversity: 2.32692
- Patent Class: 345.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14219224', '14730146', '15232229', '13749497', '16066168']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6323241240366485
- 35 USC 102 Novelty (BERT): 0.4854095041363574
- Combined Prediction Score: 0.6176326620466194
- Mean Citation Score: 193.050514
- Max Citation Score: 206.48627
- Similarity Product: 149.21829817370892

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