IP Library Granted Patent US 10,339,698
Granted Patent B2
US 10,339,698 · App. 15/534,869 · Granted Jul 2, 2019

Method for discrimination and identification of objects of a scene by 3-D imaging

Inventors: Stefan Berechet (Joinville le Pont, FR); Ion Berechet (Vincennes, FR); Jean-Baptiste Bellet (Metz, FR); Gérard Berginc (Thiais, FR)
Assignees: THALES; UNIVERSITE DE LORRAINE; SISPIA
G06T15/08G06T7/11G06T7/136G06T2207/10072G06T2219/2021
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Quick Facts
Patent No.
US 10,339,698
App. No.
15/534,869
Granted
Jul 2, 2019
Kind
B2
Abstract

A method for discriminating and identifying, by 3D imaging, an object in a complex scene comprises the following steps: generating a sequence of 2D MIP images of the object, from a 3D voxel volume of the complex scene, this volume visualized by an operator by using an iterative process of MIP type from a projection plane and an intensity threshold determined by the operator on each iteration, automatically extracting, from the sequence of images, coordinates of a reduced volume corresponding to the sequence of images, choosing one of the intensity thresholds used during the iterations, automatically extracting, from the 3D volume of the complex scene, from the coordinates and chosen intensity threshold, a reduced 3D volume containing the object, automatically generating, from the reduced volume, by intensity threshold optimization, an optimized intensity threshold and an optimized voxel volume, a color being associated with each intensity, identifying the object by visualization.

Claims (18)

1. A method for discriminating and identifying, by 3D imaging, an object in a complex scene comprising the following steps:

A) generating a sequence of images called two-dimensional (2D) maximum intensity projection (MIP) images of the object, from a three-dimensional (3D) voxel volume of the complex scene, this volume being predetermined and visualized by an operator by using an iterative process of “MIP” type from a projection plane and an intensity threshold determined by the operator on each iteration,

B1) automatically extracting from the sequence of 2D MIP images, coordinates of a reduced volume corresponding to the sequence of 2D MIP images,

B2) choosing one of the intensity thresholds used during the iterations of the step A), this choice being made by the operator,

C) automatically extracting, from the 3D voxel volume of the complex scene, from the coordinates and from the chosen intensity threshold, a reduced 3D voxel volume containing the object,

D) automatically generating from the reduced volume, by intensity threshold optimization, an optimized intensity threshold and an optimized voxel volume of the object, a color being associated with each intensity,

E) automatically generating, from the coordinates of the voxels whose intensity is represented by the 2D MIP images and from the chosen intensity threshold, a 3D cloud of points of the object,

F1) automatically generating, from the 3D volume of the complex scene and from the chosen intensity threshold, a raw 3D cloud of points of the complex scene,

F2) automatically generating, from the optimized 3D voxel volume and from the optimized intensity threshold, an optimized 3D cloud of points of the object,

G) automatically generating, from an overlaying of the 3D cloud of points of the object, and of the optimized 3D cloud of points of the object, and of the raw 3D cloud of points of the complex scene, an optimized global 3D cloud of points of the object included in the complex scene,

visualizing the optimized global 3D cloud,

identifying the object by the visualization, and

if the visualization is not satisfactory, iterating the previous steps to obtain a densification of the 3D clouds of points.

2. The method for discriminating and identifying an object in a complex scene as claimed in claim 1 , comprising a step of visualization of the reduced 3D voxel volume.

3. The method for discriminating and identifying an object in a complex scene as claimed in claim 1 , comprising a step of visualization of the optimized 3D voxel volume of the object.

4. The method as claimed in claim 1 wherein the 3D cloud of points of the object and/or the raw 3D cloud of points of the complex scene and/or the optimized 3D cloud of points of the object is displayed by the operator.

5. The method as claimed in claim 1 , wherein the 3D voxel volume of the complex scene is obtained by reflection of a visible or infrared radiation (IR) optical wave on the complex scene or by thermal emission from the object.

6. A non-transitory computer-readable medium comprising instructions that, when executed by a computer, cause the computer to perform the method as claimed in claim 1 .

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Aug 23, 2017
From: BERECHET, STEFAN; BERECHET, ION; BELLET, JEAN-BAPTISTE; BERGINC, GÉRARD
To: THALES; UNIVERSITE DE LORRAINE; SISPIA
Reel/Frame 043376/0216 →
Priority Claims (1)
FR 14 02929 · Dec 19, 2014 · national
Continuity (1)
Related Publication 20170345204A1 · Nov 30, 2017