- Author
- Witzgall, C. | Cheok, G. S.
- Title
- Experiences With Point Cloud Registration.
- Coporate
- National Institute of Standards and Technology, Gaithersburg, MD
- Report
- NIST SP 989, September 2002,
- Distribution
- AVAILABLE FROM: National Technical Information Service (NTIS), Technology Administration, U.S. Department of Commerce, Springfield, VA 22161. Telephone: 1-800-553-6847 or 703-605-6000; Fax: 703-605-6900; Rush Service (Telephone Orders Only) 800-553-6847; Website: http://www.ntis.gov AVAILABLE FROM Superintendent of Documents, U.S. Government Printing Office, Mail Stop SSOP, Washington, DC 20402-0001. Telephone: 202-512-1800. Fax: 202-512-2250. Website: http://www.bookstore.gpo.gov
- Book or Conf
- International Symposium on Automation and Robotics in Construction, 19th (ISARC). Proceedings. National Institute of Standards and Technology, Gaithersburg, Maryland. September 23-25, 2002, 349-355 p., 2002
- Keywords
- robotics | construction | lasers | technology utilization
- Identifiers
- 3D LADAR; measures-of-fit; pint cloud; registration; TIN; triangular mesh
- 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.