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A New Approach for 3D Edge Extraction by Fusing Point Clouds and Digital Images

In: Automation, Communication and Cybernetics in Science and Engineering 2013/2014

Author

Listed:
  • Ying Wang

    (RWTH Aachen University, IMA/ZLW & IfU)

  • Daniel Ewert

    (RWTH Aachen University, IMA/ZLW & IfU)

  • Daniel Schilberg

    (RWTH Aachen University, IMA/ZLW & IfU)

  • Sabina Jeschke

    (RWTH Aachen University, IMA/ZLW & IfU)

Abstract

Edges are crucial features for object segmentation and classification in both image and point cloud processing. Though many research efforts have been made in edge extraction and enhancement in both areas, their applications are limited respectively owing to their own technical properties. This paper presents a new approach to integrating the edge pixels in the 2D image into boundary data in the 3D point cloud by establishing the mapping relationship between these two types of data to represent the 3D edge features of the object. The 3D edge extraction – based on the adoption of Microsoft Kinect as a 3D sensor - involves the following three steps: first, the generation of a range image from the point cloud of the object, second the edge extraction in the range image and edge extraction in the digital image, and finally edge data integration by referring to the correspondence map between point cloud data and image pixels.

Suggested Citation

  • Ying Wang & Daniel Ewert & Daniel Schilberg & Sabina Jeschke, 2014. "A New Approach for 3D Edge Extraction by Fusing Point Clouds and Digital Images," Springer Books, in: Sabina Jeschke & Ingrid Isenhardt & Frank Hees & Klaus Henning (ed.), Automation, Communication and Cybernetics in Science and Engineering 2013/2014, edition 127, pages 765-772, Springer.
    • Handle: RePEc:spr:sprchp:978-3-319-08816-7_60
    DOI: 10.1007/978-3-319-08816-7_60
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