PATENT CLAIM ANALYSIS

Application Number: 15898666
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-08
Patent Classification: ["345", "419000"]

Abstract:
Systems and methods for automatically correcting apparent distortions in close range photographs that are captured using an imaging system capable of capturing images and depth maps are disclosed. In many embodiments, faces are automatically detected and segmented from images using a depth-assisted alpha matting. The detected faces can then be re-rendered from a more distant viewpoint and composited with the background to create a new image in which apparent perspective distortion is reduced.

Claim (Index 1):
An image processing system, comprising:\n a processor; memory containing an image processing application, and image data for an image captured from an initial viewpoint and depth map data indicating distances to objects within the scene from the initial viewpoint; wherein the image processing application stored in the memory directs the processor to:\n detect an object within the image data and a distance from the initial viewpoint to the object from the depth map data; \n segment object image data from background image data using the depth map data; \n rerender the object from a synthetic viewpoint by warping the segmented object image data based upon the depth map data to generate warped object image data, where the synthetic viewpoint is a greater distance from the object relative to the distance from the initial viewpoint to the object; and \n combine the warped object image data with the background image data to create perspective distortion corrected image data.

Metadata:
- Claim Count in Document: 30.0
- Percentile: 88.0
- Lexical Diversity: 1.28333
- Patent Class: 345.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14500979', '14642637', '14317051', '14207254', '14526407']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6352851726267751
- 35 USC 102 Novelty (BERT): 0.5950822045071691
- Combined Prediction Score: 0.6312648758148145
- Mean Citation Score: 302.5234440000001
- Max Citation Score: 558.3425
- Similarity Product: 541.6377677494287

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