PATENT CLAIM ANALYSIS

Application Number: 16273618
Application Type: Utility
Filing Date: 2019-02
Publication Date: 2019-09
Patent Classification: ["345", "419000"]

Abstract:
Systems, methods, and machine-readable media for determining a three-dimensional environment model of the environment of one or more camera devices, in which image processing for inferring the model may be performed at the camera devices, are described.

Claim (Index 1):
A system for constructing a three-dimensional environment model, the system comprising:\n a camera device comprising a plurality of image sensors, storage configured to store a convolutional neural network, and a convolver processor operatively coupled to the storage and configured to:\n using the convolutional neural network, sample a scene frame from a sequence of scene frames generated by the plurality of image sensors; \n using the convolutional neural network, determine a depth map for each pixel in the scene frame; \n using the convolutional neural network, determine a set of feature vectors in lower-dimensional feature space, wherein distance between the feature vectors represents visual dissimilarity; \n determine the optical flow between the scene frame and a key frame based on the feature vectors; \n determine the six-dimensional transformation of one or more moving objects in the scene frame based on the optical flow, wherein the six-dimensional transformation includes the change in position and change in orientation of the one or more moving objects; and \n provide updates to a device storing a three-dimensional environment model based on the depth map and the six-dimensional transformation of the one or more moving objects in the scene frame.

Metadata:
- Claim Count in Document: 11.0
- Percentile: 99.0
- Lexical Diversity: 1.35484
- Patent Class: 345.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15433333', '16053741', '13288209', '15274994', '14941823']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6244124593767499
- 35 USC 102 Novelty (BERT): 0.4471342142315933
- Combined Prediction Score: 0.6066846348622343
- Mean Citation Score: 101.423108
- Max Citation Score: 104.99726
- Similarity Product: 80.89189673440933

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

Dataset: test