HoloLensを用いた拡張現実環境における意味的インタラクション
Semantic Interaction in Augmented Reality Environments for Microsoft HoloLens
Microsoft HoloLensで屋内環境を3Dメッシュ化し、2D意味セグメンテーションを投影して物体クラスを注釈付け、ユーザーのジェスチャーで物体操作を可能にするシステムを提案・評価した論文。
著者: Peer Schüett, Max Schwarz, Sven Behnke
分類: cs.CV, cs.RO
原文アブストラクト
Augmented Reality is a promising technique for human-machine interaction. Especially in robotics, which always considers systems in their environment, it is highly beneficial to display visualizations and receive user input directly in exactly that environment. We explore this idea using the Microsoft HoloLens, with which we capture indoor environments and display interaction cues with known object classes. The 3D mesh recorded by the HoloLens is annotated on-line, as the user moves, with semantic classes using a projective approach, which allows us to use a state-of-the-art 2D semantic segmentation method. The results are fused onto the mesh; prominent object segments are identified and displayed in 3D to the user. Finally, the user can trigger actions by gesturing at the object. We both present qualitative results and analyze the accuracy and performance of our method in detail on an indoor dataset.
