Invention Grant
- Patent Title: Visualization techniques for data labeling
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Application No.: US16518809Application Date: 2019-07-22
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Publication No.: US11222460B2Publication Date: 2022-01-11
- Inventor: Evan Moss , Steven Hao , Leigh Marie Braswell , Akshat Bubna , Chiao-Lun Cheng , Samuel Jacob Clearman , Nathaniel John Herman , Guido Leandro Maliandi
- Applicant: Scale AI, Inc.
- Applicant Address: US CA San Francisco
- Assignee: Scale AI, Inc.
- Current Assignee: Scale AI, Inc.
- Current Assignee Address: US CA San Francisco
- Agency: Artegis Law Group, LLP
- Main IPC: G06T15/20
- IPC: G06T15/20 ; G06T7/90 ; G06K9/46 ; G01S17/89 ; G06K9/62 ; G01S17/86

Abstract:
One embodiment provides a user interface (UI) that permits users to select how point cloud colorings determined from multiple data sources are blended together in a rendering of a point cloud. The data sources may include photographic, label, and/or LIDAR intensity data. To improve frame rates, an aggregated point cloud may be generated using a spatial hash of a large set of points and sampling of each hash bucket based on the number of points therein and a user-configurable density. Sizes of points in the point cloud may decrease proportionally to distance from a viewer, but increase based on an activation function that enlarges points greater than a threshold distance from the viewer. In addition, luminance statistics for sub-regions of photographic data and dominant colors determined from photographic data may be used to automatically determine color properties to apply to a point cloud coloring.
Public/Granted literature
- US20210027524A1 VISUALIZATION TECHNIQUES FOR DATA LABELING Public/Granted day:2021-01-28
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