APPARATUS AND METHOD FOR RECOGNIZING OBJECTS USING FILTER INFORMATION

• US 20120041971A1
• Filed: 02/24/2011
• Published: 02/16/2012
• Est. Priority Date: 08/13/2010
• Status: Active Grant

• Current Assignee: Apple Inc.
• Original Assignee: Pantech Co. Ltd. (Pantech Incorporated)
• Inventors: KIM, Nam-Seok, KIM, Chang-Hwan, KIM, Hyung-Gi, PARK, Chan-Hee, PARK, Hui-Jong, YANG, Jin-Mo, YI, Mi-Na, LEE, Young-Jae
• Granted Patent: US 8,402,050 B2
• Time in Patent Office: Days
• US Class Current: 707/769
• CPC Class Codes: G06F 16/583 using metadata automatically derived from the content
• CPC Class Codes: G06F 16/5838 using colour
• CPC Class Codes: G06T 19/006 Mixed reality object pose determination, tracking or camera calibration for mixed reality G06T7/00
• CPC Class Codes: G06V 30/142 using hand-held instruments; Constructional details of the instruments

Abstract

An object recognition method using filter information includes acquiring object image information including an object of interest, acquiring filter information for recognizing the object of interest from the object image information, and recognizing the object of interest using the filter information. An object recognition apparatus using filter information including an object information acquiring unit to acquire object image information comprising an object of interest, a filter information input unit to acquire filter information, an output unit to output the image information and the filter information, and a controller to recognize the object of interest in the object image information using the filter information.

Claims

1. An object recognition method, comprising:

acquiring object image information comprising an object of interest;

acquiring filter information for recognizing the object of interest from the object image information; and

recognizing the object of interest using the filter information.

2. The object recognition method of claim 1, wherein the filter information comprises outline image data showing an outline of the object of interest.

3. The object recognition method of claim 2, wherein acquiring the filter information comprises:

outputting the acquired object image information;

receiving an outline image data of the object of interest; and

outputting the outline image data to overlap the object image information.

4. The object recognition method of claim 1, wherein the filter information comprises detailed information or location information related to the object of interest.

5. The object recognition method of claim 1, further comprising:

outputting a request to input additional filter information, if the object of interest is not recognized using the filter information;

receiving additional filter information from the user; and

recognizing the object of interest using the additional filter information.

6. The object recognition method of claim 1, further comprising:

searching for metadata related to the object of interest; and

outputting the metadata.

7. The object recognition method of claim 6, wherein outputting the metadata comprises outputting the metadata according to a predetermined priority if two or more pieces of metadata for the object of interest are found.

8. The object recognition method of claim 1, wherein recognizing the object of interest using the filter information comprises:

detecting an object recognition information, wherein object recognition information comprises characteristic information corresponding to the object of interest;

comparing the object recognition information with a stored reference characteristic information; and

recognizing the object in interest if object recognition information matches the stored reference characteristic information.

9. The object recognition method of claim 1, further comprising acquiring metadata related to the recognized object of interest, wherein the metadata is outputted with the object in interest.

10. An object recognition apparatus using filter information, comprising:

an object information acquiring unit to acquire object image information comprising an object of interest;

a filter information input unit to acquire filter information, the filter information to recognize an object of interest from the image information;

an output unit to output the image information and the filter information; and

a controller to recognize the object of interest in the object image information using the filter information.

11. The object recognition apparatus of claim 10,

wherein the controller outputs the image information through the output unit and outputs the filter information to overlap the object image information.

12. The object recognition apparatus of claim 10,

wherein the controller outputs a message requesting additional filter information and receives the additional filter information to recognize the object of interest using the additional filter information, if the object of interest is not recognized using the object information and the filter information.

13. The object recognition apparatus of claim 10, further comprising a metadata storage to store metadata of the object of interest,

wherein the controller searches for metadata related to the object of interest and outputs the metadata through the output unit.

14. The object recognition apparatus of claim 13, wherein the controller outputs the metadata according to a predetermined priority if two or more pieces of metadata for the object of interest are found.

15. The object recognition apparatus of claim 10, further comprising an object recognition information storage to store reference characteristic information, the reference characteristic information to be compared to the detected object recognition information.

16. The object recognition apparatus of claim 15, wherein object in interest is recognized if object recognition information matches with the reference recognition information.

17. An object recognition apparatus using filter information, comprising:

an object information acquiring unit to acquire image information comprising an object of interest;

a filter information input unit to acquire filter information, the filter information to recognize an object of interest from the image information;

an output unit to output the image information and the filter information;

an object recognition information storage to store reference characteristic information;

a meta data storage to store detailed information related to the object in interest; and

a controller to recognize the object of interest in the image information using the filter information and the reference recognition information.