Point location in multi-modality stereo imaging

• US 20060034485A1
• Filed: 08/11/2005
• Published: 02/16/2006
• Est. Priority Date: 08/12/2004
• Status: Abandoned Application

• Current Assignee: Shahriar Negahdaripour
• Original Assignee: Shahriar Negahdaripour
• Inventors: Negahdaripour, Shahriar
• Application Number:
  US11/201,456
• Publication Number:
  US 20060034485A1
• Time in Patent Office: Days
• US Class Current: 382/103
• CPC Class Codes: G06T 7/593 from stereo images
• CPC Class Codes: G06V 10/24 Aligning, centring, orientation detection or correction of the image

Abstract

A multimodal point location method can include the steps of acquiring at least two different images of a target object with cameras of different imaging modalities, including acoustic and optical cameras, and matching point coordinates in each of the two different images to reconstruct a point in a three-dimensional reconstructed view of the target object. In this regard, the images can include two-dimensional images. In a preferred aspect of the invention, the matching step can include the steps of computing a rotation matrix and a translation vector for the images and further computing a conical or trigonometric constraint for the images.

Claims

1. A multimodal point location system comprising:

a data acquisition and reduction processor disposed in a computing device;

at least two cameras of which at least one of said cameras is not an optical camera, at least one of said cameras being of a different modality than another, and said cameras providing image data to said computing device; and

a point reconstruction processor configured to process image data received through said computing device from said cameras to locate a point in a three-dimensional view of a target object.

2. The system of claim 1, wherein said cameras comprise at least one sonar sensor and one optical sensor.

3. The system of claim 1, wherein said point reconstruction processor comprises logic for computing conical constraints for matching conjugate points in the images of said cameras.

4. The system of claim 1, wherein said image data represents a two-dimensional image.

5. The system of claim 1, wherein said point reconstruction processor comprises logic for computing trigonometric constraints for matching conjugate points in the images of said cameras.

6. A multimodal point location method comprising the steps of:

acquiring at least two images of different modalities of a target object from corresponding cameras of different modalities; and

matching point coordinates in each of said two different images to reconstruct a point in a three-dimensional reconstructed view of said target object.

7. The method of claim 6, wherein said images are two-dimensional images.

8. The method of claim 6, wherein said matching step comprises the steps of:

computing a rotation matrix and a translation vector for said images; and

further computing conical constraints for said images.

9. The method of claim 6, wherein said matching step comprises the steps of:

computing a rotation matrix and a translation vector for said images; and

further computing trigonometric constraints for said images.

10. The method of claim 6, wherein at least one of said cameras is an optical camera.