Abstract
A Voxel is the minimal subdivision of a space at the resolution that a device is working. A Voxel Data
Pipeline aims to produce the voxel representation of the content to be consumed by the device from
some input representation, usually as vector data (e.g. triangle meshes). During this process, in most
of the cases it is required that the content 3D geometry suffers one or more transformations to apply
certain compensations which are device specific. Examples are scaling, surface offsets or color
corrections which are required by a 3D Printer to produce the part with the expected part quality
attributes, or a 3D Viewer to represent the content the more accurately possible. Validating the output
of a Voxel Data Pipeline during the development process is very complex due to the high amounts of
voxel data being produced. This makes it not feasible to be manually validated. In this disclosure we
present a framework for validating Voxel Data Pipelines which is intended to execute the validations
automatically and periodically so that any deviation with respect to the expected result is catch the
earliest possible in the software/firmware development cycle.
Creative Commons License
This work is licensed under a Creative Commons Attribution-Share Alike 4.0 License.
Recommended Citation
INC, HP, "AN AUTOMATED REGRESSION TESTING FRAMEWORK FOR VALIDATING VOXEL DATA PIPELINES", Technical Disclosure Commons, (February 23, 2021)
https://www.tdcommons.org/dpubs_series/4094