3D HAND POSTURE RECOGNITION SYSTEM AND VISION BASED HAND POSTURE RECOGNITION METHOD THEREOF

• US 20110268365A1
• Filed: 04/30/2010
• Published: 11/03/2011
• Est. Priority Date: 04/30/2010
• Status: Abandoned Application

• Current Assignee: Acer, Inc.
• Original Assignee: Acer, Inc.
• Inventors: LOU, CHUNG-CHENG, WANG, JING-WEI
• Application Number:
  US12/770,731
• Publication Number:
  US 20110268365A1
• Time in Patent Office: Days
• US Class Current: 382/224
• CPC Class Codes: G06V 40/113 Recognition of static hand signs

Abstract

A vision based hand posture recognition method and system thereof are disclosed. The method comprises the following steps of receiving an image frame; extracting a contoured hand image from said image frame; calculating a gravity center of said contoured hand image; obtaining contour points on a contour of said contoured hand image; calculating distances between said gravity center and said multiple contour points; recognizing a hand posture according to a first characteristic function of said multiple contour points. In embodiment, the finger number and hand direction of the hand posture can be determined according to the number and location of at least one peak of the first characteristic function.

Claims

1. A vision based hand posture recognition method, comprising:

receiving an image frame;

extracting a contoured hand image from said image frame;

calculating a gravity center of said contoured hand image;

obtaining contour points on a contour of said contoured hand image;

calculating distances between said gravity center and said multiple contour points; and

recognizing a hand posture according to a first characteristic function of said multiple distances.

2. The vision based hand posture recognition method according to claim 1, wherein the step of recognizing a hand posture further comprises:

setting a reference point;

calculating a first line between said gravity center and said reference point;

calculating second lines between said gravity center and each of said contour points;

calculating angles between said first line and said second lines; and

defining said first characteristic function being a function of said angles and said distances.

3. The vision based hand posture recognition method according to claim 2, wherein the step of recognizing a hand posture further comprises:

providing a database recording second characteristic functions of multiple predefined hand postures;

calculating cost values between said first characteristic function and said second characteristic functions; and

according to said cost values, selecting one of multiple predefined hand postures as said hand posture.

4. The vision based hand posture recognition method according to claim 2, wherein the step of recognizing a hand posture further comprises:

determining whether any peak exists in said first characteristic function; and

if at least one peak exists in said first characteristic function, recognizing said hand posture according to number and location of said peak of said first characteristic function.

5. The vision based hand posture recognition method according to claim 4, further comprising:

if no peak exists in said first characteristic function, determining said hand posture to be a fist posture.

6. The vision based hand posture recognition method according to claim 4, further comprising a step of determining a finger number of said hand posture according to said number of said peak.

7. The vision based hand posture recognition method according to claim 4, further comprising a step of determining a hand direction of said hand posture according to said location of said peak.

8. A vision based hand posture recognition system, comprising:

an image capture unit for receiving an image frame;

an image processing unit for extracting a contoured hand image from said image frame and calculating a gravity center of said contoured hand image;

a data processing unit for obtaining contour points on a contour of said contoured hand image, and calculating distances between said gravity center and said multiple contour points; and

a hand posture recognition unit for recognizing a hand posture according to a first characteristic function of said multiple distances.

9. The vision based hand posture recognition system according to claim 8, wherein said data processing unit further calculates angles between a first line and multiple second lines, and defines said first characteristic function being a function of said angles and said distances, wherein said first line is connected with said gravity center and a reference point, and each of said second lines is connected with said gravity center and each of said contour points.

10. The vision based hand posture recognition system according to claim 9, further comprising a database recording second characteristic functions of multiple predefined hand postures, wherein said hand posture recognition unit further calculates cost values between said first characteristic function and said second characteristic functions, and selects one of multiple predefined hand postures as said hand posture according to said cost values.

11. The vision based hand posture recognition system according to claim 9, wherein said hand posture recognition unit further determines at least one peak of said first characteristic function, and recognizes said hand posture according to number and location of said peak of said first characteristic function.

12. The vision based hand posture recognition system according to claim 11, wherein said hand posture recognition unit determines said hand posture to be a fist posture if no peak exists in said first characteristic function.

13. The vision based hand posture recognition system according to claim 11, wherein said hand posture recognition unit determines a finger number of said hand posture according to said number of said peak, and determines a hand direction of said hand posture according to said location of said peak.

14. A 3D hand posture recognition system, comprising:

a first image capture unit for receiving a first image frame;

a second image capture unit, for receiving a second image frame;

an image processing unit for extracting a first contoured hand image and a second contoured hand image from said first image frame and said second image frame respectively, and calculating a first gravity center of said first contoured hand image and a second gravity center of said second contoured hand image;

a data processing unit for obtaining first contour points on the contour of said first contoured hand image, and obtaining second contour points on the contour of said second contoured hand image, and calculating first distances between said first gravity center and said first multiple contour points, and calculating second distances between said second gravity center and said second multiple contour points; and

a hand posture recognition unit for recognizing a first hand posture according to a first characteristic function of said multiple first distances, and recognizing a second hand posture according to a second characteristic function of said multiple second distances, and determining a 3D hand posture according to said first hand posture and said second hand posture.

15. The 3D hand posture recognition system according to claim 14, wherein said hand posture recognition unit recognizes said first hand posture according to number and location of at least one peak of said first characteristic function, and recognizes said second hand posture according to number and location of at least one peak of said second characteristic function.