PATENT CLAIM ANALYSIS

Application Number: 16086600
Application Type: Utility
Filing Date: 2018-09
Publication Date: 2019-04
Patent Classification: ["353", "069000"]

Abstract:
The present disclosure relates to an image processing apparatus and a method capable of performing on-line sensing without synchronizing and without using a specialized device. An image corner corresponding point detection unit detects an image corner of an input image from a captured image captured by a camera, and associates four image corner points of a corrected image to be projected by a projector with four image corner points of the detected captured image, thereby detecting four image corner corresponding points. An attitude estimation unit estimates a relative attitude of the projector and the camera from the four image corner corresponding points. The present disclosure can be applied to, for example, a projection imaging device that projects an image with a projector, captures the image projected by the projector, and updates a presentation position.

Claim (Index 5):
The image processing apparatus according to  claim 4 , wherein\n the attitude estimation unit estimates the attitude of the projector by evaluating a degree of matching between an image frame of the corrected image and an image frame of the captured image in a case where there are less than four image corner points of the corrected image.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 97.0
- Lexical Diversity: 2.25
- Patent Class: 353.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['16070324', '14344806', '15580768', '16032175', '13783848']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6845601736210666
- 35 USC 102 Novelty (BERT): 0.5067840041586048
- Combined Prediction Score: 0.6667825566748204
- Mean Citation Score: 220.90247
- Max Citation Score: 240.87135
- Similarity Product: 168.38439285340013

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