Portable Scanners. Photon 3D Scanner. Digitizer. 3D Scanner for 3D scanning - easy to use & low cost. Handyscan 3D and MetraSCAN 3D by Creaform. Learning to Hash Logistic Regression for Fast 3D Scan Point Classification; IROS10. Triebel: Robust 3D Scan Point Classification using Associative Markov Networks; icra06. Anguelov: Discriminative Learning of MRFs for Segmentation of 3D Scan Data; cvpr05. Chen: Schelling points on 3D surface meshes; SIG12. This paper investigates "Schelling points" on 3D meshes, feature points selected by people in a pure coordination game due to their salience.
To collect data for this investigation, we designed an online experiment that asked people to select points on 3D surfaces that they expect will be selected by other people. We then analyzed properties of the selected points, finding that: 1) Schelling point sets are usually highly symmetric, and 2) local curvature properties (e.g., Gauss curvature) are most helpful for identifying obvious Schelling points (tips of protrusions), but 3) global properties (e.g., segment centeredness, proximity to a symmetry axis, etc.) are required to explain more subtle features. Multi-scale Salient Feature Extraction on Mesh Models.
Multi-Scale Salient Features for Analyzing 3D Shapes. Extracting feature regions on mesh models is crucial for shape analysis and understanding.
It can be widely used for various 3D content-based applications in graphics and geometry field. In this paper, we present a new algorithm of extracting multi-scale salient features on meshes. Leifman: Surface regions of interest for viewpoint selection; CVPR12. Field-guided registration for feature-conforming shape composition. Patané: wFEM heat kernel: Discretization and applications to shape analysis and retrieval; CAGD13. Efficient feature-preserving local projection operator for geometry reconstruction; CAD. 1.
Introduction 2. Efficient feature-preserving local projection operator for geometry reconstruction; CAD.