PATENT CLAIM ANALYSIS

Application Number: 15863799
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2019-07
Patent Classification: ["345", "419000"]

Abstract:
Various approaches described herein improve the quality of results when fusing depth maps to generate dynamic three-dimensional (“3D”) models, applying texture details to dynamic 3D models, or rendering views of textured, dynamic 3D models. For example, when fusing depth maps to generate a dynamic 3D model, a fusion component can also incorporate intrinsic color values for points of the dynamic 3D model, potentially making the dynamic 3D model more accurate, especially for areas in which depth values are not reliable or not available. As another example, when applying texture details, a rendering component can apply smoothed, viewpoint-dependent texture weights to texture values from different texture maps, which can reduce blurring and avoid the introduction of noticeable seams. As another example, a rendering component can apply special effects indicated by metadata to rendered views, thereby allowing a content provider to assert artistic control over presentation.

Claim (Index 4):
The method of  claim 1 , further comprising:\n determining, based at least in part upon the model data and orientation data indicating the different input viewpoints for the respective texture maps, rasterized depth maps for the current frame from the different input viewpoints, respectively; and as part of the determining the texture weights for the current frame, applying a threshold test, based at least in part upon the model data and the rasterized depth maps, for the at least some of the points of the dynamic 3D model from the output viewpoint.

Metadata:
- Claim Count in Document: 41.0
- Percentile: 86.0
- Lexical Diversity: 1.875
- Patent Class: 345.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['13427497', '12266942', '10890280', '11097549', '13638136']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6561572356518676
- 35 USC 102 Novelty (BERT): 0.4915615475908618
- Combined Prediction Score: 0.639697666845767
- Mean Citation Score: 228.259852
- Max Citation Score: 244.25629
- Similarity Product: 187.267140898093

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