@article{discovery1540772,
           month = {March},
          number = {3},
            year = {2018},
           title = {Recovering Functional Mechanical Assemblies from Raw Scans.},
         journal = {IEEE Transactions on Visualization and Computer Graphics},
          volume = {24},
            note = {{\copyright} 2016 IEEE. This version is the author accepted manuscript. For information on re-use, please refer to the publisher's terms and conditions.},
           pages = {1354--1367},
        keywords = {Geometry,
Shape,
Gears,
Motion segmentation,
Parametric statistics,
Fabrication,
Three-dimensional displays},
             url = {http://doi.org/10.1109/TVCG.2017.2662238},
          author = {Lin, M and Shao, T and Zheng, Y and Mitra, N and Zhou, K},
            issn = {1941-0506},
        abstract = {This paper presents a method to reconstruct a functional mechanical assembly from raw scans. Given multiple input scans of a mechanical assembly, our method first extracts the functional mechanical parts using a motion-guided, patch-based hierarchical registration and labeling algorithm. The extracted functional parts are then parameterized from the segments and their internal mechanical relations are encoded by a graph. We use a joint optimization to solve for the best geometry, placement, and orientation of each part, to obtain a final workable mechanical assembly. We demonstrated our algorithm on various types of mechanical assemblies with diverse settings and validated our output using physical fabrication.}
}