PATENT CLAIM ANALYSIS

Application Number: 15861660
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2019-05
Patent Classification: ["345", "420000"]

Abstract:
An apparatus for producing 3D point-cloud model of physical objects includes a rotatable platform ( 11 ), multiple patterns asymmetrically arranged on the rotatable platform ( 11 ), a background curtain ( 13 ), and an image capturing unit ( 12 ) arranged facing toward the background curtain ( 13 ). A producing method includes: placing an object ( 2 ) to be scanned on the rotatable platform ( 11 ); setting a capturing amount during one-time rotation operation; controlling the rotatable platform ( 11 ) to perform the rotation operation, and controlling the image capturing unit ( 12 ) to capture corresponding images during the rotation operation according to the capturing amount, wherein each image includes the entire object ( 2 ) and multiple of the patterns, and records corresponding global coordinates; and, performing matching on multiple features of each of the images, and constructing a 3D point-cloud model of the object ( 2 ) according to a matching result of the features and the global coordinates of each of the images.

Claim (Index 11):
The method in  claim 8 , wherein the step c) comprises following steps:\n c1) retrieving the multiple feature points of each of the multiple images respectively; c2) performing the matching action on the multiple feature points of each two images of the multiple images; c3) selecting two images of the multiple images that have most matched feature points as an initial pair of an incremental reconstruction procedure after step c2); c4) executing a multipoint least error of regression calculation on the multiple matched feature points of the two images being the initial pair for obtaining a partial 3D point-cloud model, wherein the partial 3D point-cloud model is configured to record a plurality of data of a 3D point-cloud within a tolerance scope; c5) determining whether the multiple images are all processed completely; and c6) before the multiple images are all processed completely, continually adding the multiple feature points of a non-processed image of the multiple images to the partial 3D point-cloud model one-by-one, and re-executing step c4) to adjust and increase the data of the 3D point-cloud of the partial 3D point-cloud model, so as to obtain a complete 3D point-cloud model.

Metadata:
- Claim Count in Document: 35.0
- Percentile: 86.0
- Lexical Diversity: 2.71014
- Patent Class: 345.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['16066191', '14324891', '15649539', '13620505', '15132837']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6619461487993692
- 35 USC 102 Novelty (BERT): 0.479430033442321
- Combined Prediction Score: 0.6436945372636643
- Mean Citation Score: 180.756578
- Max Citation Score: 190.91394
- Similarity Product: 143.581502161088

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