Image processing apparatus
First Claim
1. An image processing apparatus comprising:
- a calculating unit; and
a storage unit, wherein the calculating unit converts pixels of two-dimensional-image data being obtained by photo capturing an object into an N- dimensional converted value and calculates N dimensional estimated feature values which are parameters for expressing the N-dimensional converted value with plural N-dimensional regions as bases, wherein the N is an integer larger than 2, the storage unit stores the N-dimensional estimated feature values and information, which indicates the object and is associated with the N-dimensional estimated feature values, and the calculating unit executes a recognition process with the recognition database.
1 Assignment
0 Petitions
Accused Products
Abstract
An image processing apparatus is provided that is capable of executing identification of an object by using a two-dimensional-image having a relatively low resolution. In the image processing apparatus, image data obtained by photo capturing a prescribed object is used as a processing target; with respect to at least one plane relating to a part of the object, an N-dimensional estimated feature value (N ≧3) defining the plane is operated; the N-dimensional estimated feature value and information identifying the original object are associated with each other and stored as a recognition database in a storage unit; and the recognition database is applied to a recognition process of the object.
76 Citations
16 Claims
-
1. An image processing apparatus comprising:
-
a calculating unit; and
a storage unit, wherein the calculating unit converts pixels of two-dimensional-image data being obtained by photo capturing an object into an N- dimensional converted value and calculates N dimensional estimated feature values which are parameters for expressing the N-dimensional converted value with plural N-dimensional regions as bases, wherein the N is an integer larger than 2, the storage unit stores the N-dimensional estimated feature values and information, which indicates the object and is associated with the N-dimensional estimated feature values, and the calculating unit executes a recognition process with the recognition database. - View Dependent Claims (4, 8, 10)
-
-
2. An image processing apparatus comprising:
-
a calculating unit that is configured to be accessible to a recognition database; and
an output unit, wherein the recognition database holds a prepared object identifying information for identifying each prepared object and N-dimensional estimated feature values each of the prepared object, wherein N dimensional estimated feature values are parameters for expressing an N-dimensional converted value with plural N-dimensional regions as bases, the N-dimensional converted value is a value converted pixels of two-dimensional-image data of the prepared object and the N is an integer larger than 2, the calculating unit converts pixels of two-dimensional-image data being obtained by photo capturing an aimed object for a reorganization into an N- dimensional converted value and calculates N dimensional estimated feature values, wherein N dimensional estimated feature values are parameters for expressing an N-dimensional converted value with plural N-dimensional regions as bases, the N-dimensional converted value is a value converted pixels of two-dimensional-image data of the aimed object, the calculating unit compares the N-dimensional estimated feature values of the aimed object with the N-dimensional estimated feature values of the prepared objects, and the output unit outputs a result of the comparison. - View Dependent Claims (3, 5, 9, 11)
-
-
6. A method of image processing, comprising:
-
(a) loading two-dimensional-image data obtained by photo capturing an object;
(b) converting multidimensional variables each comprising a positional coordinate value of each pixel and a pixel value, the pixels being contained in the two-dimensional-image data;
(c) calculating likelihood of the plurality of the multidimensional variables, which are formed for each pixel, the likelihood being used when the multidimensional variables are described as mixed distributions; and
(d) executing a recognition process with the likelihood. - View Dependent Claims (7, 12)
-
-
13. A method for producing a recognition database, comprising:
-
(a) loading two-dimensional-image data including a plurality of regions;
the two-dimensional-image data being obtained by photo capturing an object,(b) converting pixels of two-dimensional-image data being obtained by photo capturing an object into an N- dimensional converted value, (C) calculating N dimensional estimated feature values which are parameters for expressing the N-dimensional converted value with plural N-dimensional regions as bases, wherein the N is an integer larger than 2, and (d) storing the N-dimensional estimated feature values and information indicating the object as a recognition database.
-
-
14. A method of image processing executable by a computer, wherein
the computer is configured to be accessible to a recognition database that holds a prepared object identifying information for identifying each prepared object and N-dimensional estimated feature values each of the prepared object, wherein N dimensional estimated feature values are parameters for expressing an N-dimensional converted value with plural N-dimensional regions as bases, the N-dimensional converted value is a value converted pixels of two-dimensional-image data of the prepared object and the N is an integer larger than 2, the program making the computer execute procedures comprising: -
(a) loading two-dimensional-image data being obtained by photo capturing an aimed object, (b) converting pixels of two-dimensional-image data being obtained by photo capturing an object into an N- dimensional converted value, (C) calculating N dimensional estimated feature values which are parameters for expressing the N-dimensional converted value with plural N-dimensional regions as bases, (d) comparing the N-dimensional estimated feature values of the aimed object with the N-dimensional estimated feature values of the prepared objects to identify the aimed object; and
(e) outputting a result of the comparison.
-
-
15. A program executable by a computer, wherein
the computer is configured to be accessible to a recognition database that holds a prepared object identifying information for identifying each prepared object and N-dimensional estimated feature values each of the prepared object, wherein N dimensional estimated feature values are parameters for expressing an N-dimensional converted value with plural N-dimensional regions as bases, the N-dimensional converted value is a value converted pixels of two-dimensional-image data of the prepared object and the N is an integer larger than 2, the program making the computer execute procedures comprising: -
(a) loading a two-dimensional-image data including an aimed object;
the two-dimensional-image data being obtained by photo capturing an aimed object,(b) converting pixels of two-dimensional-image data being obtained by photo capturing an object into an N- dimensional converted value, (C) calculating N dimensional estimated feature values which are parameters for expressing the N-dimensional converted value with plural N-dimensional regions as bases, (d) comparing the N-dimensional estimated feature values of the aimed object with the N-dimensional estimated feature values of the prepared objects to identify the aimed object; and
(e) outputting a result of the comparison.
-
-
16. A program executable by a computer, making the computer execute procedures comprising:
-
(a) loading two-dimensional-image data obtained by photo capturing an object;
(b) forming multidimensional variables each comprising a positional coordinate value of each pixel and a pixel value, the pixels being contained in the two-dimensional-image data; and
(c) calculating likelihood of the plurality of the multidimensional variables, which are formed for each pixel, the likelihood being used when the multidimensional variables are described as mixed distributions.
-
Specification