IMAGE RECOGNITION

• US 20090185746A1
• Filed: 01/22/2008
• Published: 07/23/2009
• Est. Priority Date: 01/22/2008
• Status: Abandoned Application

• Current Assignee: University of Western Australia
• Original Assignee: University of Western Australia
• Inventors: Bennamoun, Mohammed, Mian, Ajmal Saeed, Owens, Robyn
• Application Number:
  US12/017,643
• Publication Number:
  US 20090185746A1
• Time in Patent Office: Days
• US Class Current: 382/209
• CPC Class Codes: A01B 1/00 Hand tools edge trimmers for lawns A01G3/06 ; machines for working soil A01B35/00; making hand tools B21D
• CPC Class Codes: A01B 3/00 Ploughs with fixed plough-shares
• CPC Class Codes: G06V 20/64 Three-dimensional objects
• CPC Class Codes: G06V 40/168 Feature extraction; Face representation

Abstract

An image recognition method and system (10) comprises receiving at an input (12) a first image set to be recognized, wherein the image set comprises a 3-D image comprising 3-D cloud-points of an observed surface and a registered 2-D image comprising textured pixels. A gallery of image sets is provided in a storage (18) for comparison. A rejection classifier (32) performs a rejection comparison for rejecting image sets in the gallery that do not match the first image set with a high likelihood. A matching classifier (36) performs a matching comparison for identifying an image set of the non-rejected gallery image sets which matches the first image set with a high likelihood.

Claims

1. An image recognition method comprising:

receiving a first image set to be recognized, wherein the image set comprises a 3-D image comprising 3-D cloud-points of an observed surface and a registered 2-D image comprising textured pixels;

providing a gallery of image sets for comparison;

performing a rejection comparison for rejecting image sets in the gallery that do not match the first image set with a high likelihood; and

performing a matching comparison for identifying an image set of the non-rejected gallery image sets which matches the first image set with a high likelihood.

2. An image recognition system comprising:

an input for receiving a first image set to be recognized, wherein the image set comprises a 3-D image comprising 3-D cloud-points of an observed surface and a registered 2-D image comprising textured pixels;

a storage for storing a gallery of image sets for comparison;

a rejection classifier for performing a rejection comparison for rejecting image sets in the gallery that do not match the first image set with a high likelihood; and

a matching classifier for performing a matching comparison for identifying an image set of the non-rejected gallery image sets which matches the first image set with a high likelihood.

3. An image recognition system comprising:

an input for receiving a first image set to be recognized, wherein the image set comprises a 3-D image comprising 3-D cloud-points of an observed surface and a registered 2-D image comprising textured pixels;

a storage for storing a gallery of image sets for comparison;

a processor configures to;

perform a rejection comparison for rejecting image sets in the gallery that do not match the first image set with a high likelihood, and perform a matching comparison for identifying an image set of the non-rejected gallery image sets which matches the first image set with a high likelihood.

4. A computer program embodied in a computer readable storage medium comprising instructions for controlling a processor to:

receive a first image set to be recognized, wherein the image set comprises a 3-D image comprising 3-D cloud-points of an observed surface and a registered 2-D image comprising textured pixels;

access a storage of a gallery of image sets for comparison;

perform a rejection comparison for rejecting image sets in the gallery that do not match the first image set with a high likelihood; and

perform a matching comparison for identifying an image set of the non-rejected gallery image sets which matches the first image set with a high likelihood.