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    Article

    Augmented Autoencoders: Implicit 3D Orientation Learning for 6D Object Detection

    We propose a real-time RGB-based pipeline for object detection and 6D pose estimation. Our novel 3D orientation estimation is based on a variant of the Denoising Autoencoder that is trained on simulated views ...

    Martin Sundermeyer, Zoltan-Csaba Marton in International Journal of Computer Vision (2020)

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    Chapter and Conference Paper

    Applicability of Deep Learned vs Traditional Features for Depth Based Classification

    In robotic applications, highly specific objects such as industrial parts, for example, often need to be recognized. In these cases methods can’t rely on the online availability of large labeled training data ...

    Fabio Bracci, Mo Li, Ingo Kossyk in Computational Modeling of Objects Presente… (2019)