Open AccessFully in tensor computation manner: one‐shot dense 3D structured light and beyond
Author(s) -
Chen XuanLi,
Van Gool Luc
Publication year - 2020
Publication title -
cognitive computation and systems
Language(s) - English
Resource type - Journals
ISSN - 2517-7567
DOI - 10.1049/ccs.2019.0027
Subject(s) - computation , computer science , tensor (intrinsic definition) , theoretical computer science , simplicity , algorithm , artificial intelligence , mathematics , geometry , physics , quantum mechanics
Tensor computation evolves fast towards a prosperous existence in recent years, e.g. PyTorch. An immediate advantage of using tensor computation is that one does not need to implement low‐level parallelism to attain efficient computation, which is of simplicity for both research and application development. The authors began with discovering that a simple manoeuvre ‘tensor shift’ could perform neighbourhood manipulation in very efficient parallel manner. Based on ‘tensor shift’, they derive the tensor version of a renowned correspondence search algorithm: semi‐global matching (SGM), which they prefix the name as tensor‐SGM. To evaluate their idea, they build‐up a novel and practical one‐shot structured light 3D acquisition system, which yields state‐of‐art reconstruction results using off‐the‐shelf hardware. This is the first fully tensorised 3D reconstruction system published to the authors’ best knowledge, and it opens new possibilities. A major one is, in the same tensorised framework, they solved the pattern interfering problem which hinders multi‐structured light systems from working together. This part is marked as ‘beyond’ in this study to avoid confusing the readers the spotlight: the fully tensorised 3D structured light framework.