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Title: Systems and methods that generate height map models for efficient three dimensional reconstruction from depth information

Patent ·
OSTI ID:1230019

Methods of generating a three dimensional representation of an object in a reference plane from a depth map including distances from a reference point to pixels in an image of the object taken from a reference point. Weights are assigned to respective voxels in a three dimensional grid along rays extending from the reference point through the pixels in the image based on the distances in the depth map from the reference point to the respective pixels, and a height map including an array of height values in the reference plane is formed based on the assigned weights. An n-layer height map may be constructed by generating a probabilistic occupancy grid for the voxels and forming an n-dimensional height map comprising an array of layer height values in the reference plane based on the probabilistic occupancy grid.

Research Organization:
The University of North Carolina at Chapel Hill, Chapel Hill, NC (United States); Eidgenossische Technische Hochschule Zurich, Zurich, CH (Switzerland)
Sponsoring Organization:
USDOE
DOE Contract Number:
FG52-08NA28778
Assignee:
The University of North Carolina at Chapel Hill
Patent Number(s):
9,208,612
Application Number:
13/578,758
OSTI ID:
1230019
Resource Relation:
Patent File Date: 2011 Dec 08
Country of Publication:
United States
Language:
English

References (18)

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conference June 2009
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A Globally Optimal Algorithm for Robust TV-L1 Range Image Integration conference October 2007
Visual Modeling with a Hand-Held Camera journal September 2004

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