Reconstruction of Shape Boundaries with Multimodal Constrains

Information

• Publication Type: Journal Paper (without talk)
• Workgroup(s)/Project(s):
  • Rendering and Modeling
• Date: May 2013
• Journal: Computer & Graphics
• Number: 3
• Volume: 37
• Pages: 137 – 147
• Keywords: Shape boundaries, Shape primitives; , Reconstruction;

Abstract

Shape primitives are a valuable input for reconstructing 3D models from point clouds. In this paper we present a method for clipping simple shape primitives at reasonable boundaries. The shape primitives, e.g. planes or cylinders, are 2D manifolds which are automatically detected in unstructured point clouds. Shape boundaries are necessary for generating valid 3D models from multiple shape primitives, because shape primitives possibly have dimensions of infinite extent or they are only partially present in the scene. Hints for reasonable boundaries of shape primitives are indicated by different input sources and constraints. Point clouds and range images provide information where shape primitives coincide with measured surface points. Edge detectors offer cues for surface boundaries in color images. The set of shape primitives is analyzed for constraints such as intersections. Due to an iterative approach, intermediate results provide additional constraints such as coplanar boundary points over multiple shape primitives. We present a framework for extracting and optimizing shape boundaries based on the given input data and multiple constraints. Further, we provide a simple user interface for manually adding constraints in order to improve the results. Our approach generates structurally simple 3D models from shape primitives and point clouds. It is useful for reconstructing scenes containing man-made objects, such as buildings, interior scenes, or engineering objects. The application of multiple constraints enables the reconstruction of proper 3D models despite noisy or incomplete point clouds.

Additional Files and Images

Weblinks

• http://www.sciencedirect.com/science/article/pii/S0097849313000022

BibTeX

@article{Reisner_2013_RSB,
  title =      "Reconstruction of Shape Boundaries with Multimodal
               Constrains",
  author =     "Irene Reisner-Kollmann and Stefan Maierhofer and Werner
               Purgathofer",
  year =       "2013",
  abstract =   "Shape primitives are a valuable input for reconstructing 3D
               models from point clouds. In this paper we present a method
               for clipping simple shape primitives at reasonable
               boundaries. The shape primitives, e.g. planes or cylinders,
               are 2D manifolds which are automatically detected in
               unstructured point clouds. Shape boundaries are necessary
               for generating valid 3D models from multiple shape
               primitives, because shape primitives possibly have
               dimensions of infinite extent or they are only partially
               present in the scene. Hints for reasonable boundaries of
               shape primitives are indicated by different input sources
               and constraints. Point clouds and range images provide
               information where shape primitives coincide with measured
               surface points. Edge detectors offer cues for surface
               boundaries in color images. The set of shape primitives is
               analyzed for constraints such as intersections. Due to an
               iterative approach, intermediate results provide additional
               constraints such as coplanar boundary points over multiple
               shape primitives. We present a framework for extracting and
               optimizing shape boundaries based on the given input data
               and multiple constraints. Further, we provide a simple user
               interface for manually adding constraints in order to
               improve the results. Our approach generates structurally
               simple 3D models from shape primitives and point clouds. It
               is useful for reconstructing scenes containing man-made
               objects, such as buildings, interior scenes, or engineering
               objects. The application of multiple constraints enables the
               reconstruction of proper 3D models despite noisy or
               incomplete point clouds. ",
  month =      may,
  journal =    "Computer & Graphics",
  number =     "3",
  volume =     "37",
  pages =      "137--147",
  keywords =   "Shape boundaries, Shape primitives;    , Reconstruction;",
  URL =        "https://www.cg.tuwien.ac.at/research/publications/2013/Reisner_2013_RSB/",
}