PATENT CLAIM ANALYSIS

Application Number: 16029328
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2018-11
Patent Classification: ["345", "419000"]

Abstract:
Enhanced removing of noise and outliers from one or more point sets generated by image-based 3D reconstruction techniques is provided. In accordance with the disclosure, input images and corresponding depth maps can be used to remove pixels that are geometrically and/or photometrically inconsistent with the colored surface implied by the input images. This allows standard surface reconstruction methods (such as Poisson surface reconstruction) to perform less smoothing and thus achieve higher quality surfaces with more features. In some implementations, the enhanced point-cloud noise removal in accordance with the disclosure can include computing per-view depth maps, and detecting and removing noisy points and outliers from each per-view point cloud by checking if points are consistent with the surface implied by the other input views.

Claim (Index 8):
The method of  claim 7 , wherein determining whether the point is photometrically consistent with the surface of the object based on the intersection points found includes:\n for each intersection point found: determining whether the distance between the point and intersection point is larger than a threshold value; and in response to determining the distance between the point and intersection point is larger than the threshold value, excluding the intersection point from the determination whether the point is photometrically consistent with the surface of the object.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 95.0
- Lexical Diversity: 1.57143
- Patent Class: 345.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15283121', '15206918', '12299909', '15863799', '15957462']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6394162026610828
- 35 USC 102 Novelty (BERT): 0.5098377293106146
- Combined Prediction Score: 0.626458355326036
- Mean Citation Score: 192.373142
- Max Citation Score: 317.3579
- Similarity Product: 308.1200041848898

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

Dataset: test