PATENT CLAIM ANALYSIS

Application Number: 16022009
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2019-01
Patent Classification: ["345", "419000"]

Abstract:
The present disclosure provides a three-dimensional posture estimating method and apparatus, a device and a computer storage medium, wherein the method comprises: obtaining two-dimensional posture information of an object in an image and three-dimensional size information of the object; determining coordinates of key points of the object in an object coordinate system according to the three-dimensional size information of the object; determining a transformation relationship between a camera coordinate system and the object coordinate system according to a geometrical relationship between coordinates of key points of the object in the object coordinate system and the two-dimensional posture information of the object. Application of this manner to the field of autonomous driving may implement mapping a detection result of a two-dimensional obstacle to a three-dimensional space to obtain its posture.

Claim (Index 17):
The device according to  claim 16 , wherein the determining a transformation relationship between a camera coordinate system and the object coordinate system according to a geometrical relationship between coordinates of key points of the object in the object coordinate system and the two-dimensional posture information of the object comprises:\n enabling the coordinates of the key points of the object in the object coordinate system and the projection coordinates on the image to respectively constitute 3D-2D coordinate pairs of respective key points; using a geometrical correspondence relationship of 3D-2D coordinate pairs of at least partial key points to determine a rotation matrix R and a position translation vector t from the object coordinate system to the camera coordinate system.

Metadata:
- Claim Count in Document: 2.0
- Percentile: 94.0
- Lexical Diversity: 2.30508
- Patent Class: 345.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['10995524', '14363102', '15300305', '15250324', '15006322']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6682445453291228
- 35 USC 102 Novelty (BERT): 0.4751199922988871
- Combined Prediction Score: 0.6489320900260992
- Mean Citation Score: 185.88118000000003
- Max Citation Score: 197.68303
- Similarity Product: 157.79217566938638

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

Dataset: test