PATENT CLAIM ANALYSIS

Application Number: 16123720
Application Type: Utility
Filing Date: 2018-09
Publication Date: 2019-01
Patent Classification: ["348", "136000"]

Abstract:
Disclosed are an apparatus and a method of compensating temperature shifts of a structured light pattern for a depth imaging system. In some embodiments, a depth imaging device includes a light source, an imaging sensor and a processor. The light source emits light corresponding to a pattern. A temperature drift of the light source can cause a shift of the pattern. The imaging sensor receives the light reflected by environment in front of the depth imaging device and generates a depth map including a plurality of pixel values corresponding to depths of the environment relative to the depth imaging device. The processor estimates the shift of the pattern based on a polynomial model depending on the temperature drift of the light source. The processor further adjusts the depth map based on the shift of the pattern.

Claim (Index 8):
The depth imaging device of  claim 6 , wherein the polynomial model includes one or more polynomials having a weighted combination of terms depending on the temperature drift; and\n wherein the processor is further configured to train weight coefficients of the one or more polynomials using a training data set, the training data set including values of the positional coordinates in the reference image, values of the plurality of variables of the one or more polynomials associated with temperature drift, and corresponding known values of shifted positional coordinates in shifted images that correspond to shifts of the pattern due to the temperature drift.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 97.0
- Lexical Diversity: 2.41667
- Patent Class: 348.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15251966', '15252129', '15971765', '13476334', '15249938']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5913999047385723
- 35 USC 102 Novelty (BERT): 0.5558707826235538
- Combined Prediction Score: 0.5878469925270705
- Mean Citation Score: 231.280724
- Max Citation Score: 417.07068
- Similarity Product: 308.29282789761544

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

Dataset: test