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Publication Citation: Experiences with Point Cloud Registration

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Author(s): Christoph J. Witzgall; Geraldine S. Cheok;
Title: Experiences with Point Cloud Registration
Published: September 01, 2002
Abstract: The development of LADAR (laser distance and ranging) technology to acquire 3D spatial data made it possible to create 3D models of complex objects. Because an unobstructed line-of-sight is required to capture a point on an object, an individual LADAR scan may acquire only a partial 3D image, and several scans from different vantage points are needed for complete coverage of the object. As a result there is a need for software which registers various scans to a common coordinate frame. NIST is investigating direct optimization as an approach to numerically registering 3D LADAR data without utilizing fiduciary points or matching features. The primary capability is to register a point cloud to a triangulated surface--a TIN surface. If a point cloud is to be registered against another point cloud, then the first point cloud is meshed in order to create a triangulated surface against which to register the second point cloud. The direct optimization approach to registration depends on the choice of the measure-of-fit to quantify the extent to which the point cloud differs from the surface in areas of overlap. Two such measures-of-fit have been implemented. Data for an experimental evaluation were collected by scanning a box, and registration accuracy was gauged based on comparisons of the volume and height to known values.
Citation: Experiences with Point Cloud Registration
Keywords: LADAR;measures-of-fit;point cloud;registration;TIN;triangular mesh
Research Areas: Building and Fire Research
PDF version: PDF Document Click here to retrieve PDF version of paper (435KB)