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Mitsubishi Electric Research Laboratories, Inc.

Sarah F F Gibson

Ronald N Perry

Michael E Leventon

A method generates a surface model for a three-dimensional object. The object is scanned from a plurality of directions to produce a volume data for each scanning direction. Each volume data is segmented to extract data associated with the object. The volume data are then registered to a common coordinate frame. After registration, a surface net is initialized for each volume data. The multiple surface nets are relaxed and merge according to the common coordinate frame to generate a renderable surface model.

Surface model generation for visualizing three-dimensional objects using multiple elastic surface nets

A volumetric distance map of an object is generated from one or more depth images of the object. Each depth image is projected onto the object by casting parallel rays to the object. The parallel rays are cast perpendicular to the depth image. Sample points in a projected distance volume represent distances from the distance map to a surface of the object. The magnitude of a local gradient at each sample point of the projected distance volume is determined, and each distance at each sample point is divided by the magnitude of the corresponding local gradient at each sample point to obtain a scalar distance to a closest surface of the object.

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Arlington, MA, United States of America

Sarah F F Gibson