ETH Zurich - D-INFK - IVC - CVG - Research - FreeNovation: 4D Image Reconstruction for Acne in Genomic Studies

FreeNovation: 4D Image Reconstruction with AI-based Lesion Quantification as Biomarker for Acne in Genomic Studies

Srivathsan Murali, Pablo Speciale, Martin R. Oswald, and Marc Pollefeys
Department of Computer Science, ETH Zürich, Switzerland

IROS 2017


We present a system to generate building information models (BIMs) of house interiors from 3D scans. The strength of our approach is its simplicity and low runtime which allows for mobile processing applications. We consider scans of single floor, Manhattan-like indoor scenes for which our method creates metric room layouts by detecting walls and performing a subsequent reasoning about their neighborhood relations. The output of our method is a 3D BIM with hierarchical semantic annotations for individual rooms being refined by walls, ceilings, floors and doors. A variety of experiments demonstrate the effectiveness of our approach. Our reconstruction results compare well to other state-of-art methods in both reconstruction quality as well as runtime.


  • Fast 3D Reconstruction of Faces with Glasses.
    Fabio Maninchedda, Martin R. Oswald, Marc Pollefeys.
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.
  • Face Reconstruction on Mobile Devices Using a Height Map Shape Model and Fast Regularization.
    Fabio Maninchedda, Christian Häne, Martin R. Oswald, Marc Pollefeys.
    International Conference on 3D Vision (3DV), 2016.

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