AUTOMATIC HANDBAG RECOGNITION USING VIEW-DEPENDENT CNNs

1 . A method for identifying characteristics of a handbag, the method comprising in any order:

receiving one or more images of a handbag;

eliminating all but select images from the one or more images of the handbag to obtain a grouping of one or more select images, the select images being those embodying a complete periphery and frontal view of the handbag;

for each of the one or more select images, aligning feature-corresponding pixels with an image axis;

comparing at least a portion of the one or more select images with a plurality of stored images, wherein said comparing comprises:

for each of the one or more select images, extracting a plurality of style-identifying features from the handbag contained therein, and

comparing the plurality of style-identifying features with a plurality of stored-image features from each of the plurality of stored images; and

determining said characteristics of the handbag based on said comparing.

2 . The method of claim 1 , wherein the characteristics comprise a brand identifier and a style identifier.

3 . The method of claim 2 , wherein the brand identifier comprises a fashion brand name.

4 . The method of claim 2 , wherein the style identifier comprises a handbag name.

5 . The method of claim 1 , the steps further comprising transforming the one or more images of the handbag or the one or more select images from a colorscale to a grayscale image.

6 . The method of claim 1 , wherein the feature-corresponding pixels comprises at least one of a bottom, a top, or a side portion of the handbag.

7 . The method of claim 6 , wherein the image axis comprises a bottom, a top, a left, or a right of the select image.

8 . A computer system comprising:

a processor; and

a non-transitory computer-readable medium configured to store instructions, the instructions when executed by the processor cause the processor to perform steps comprising:

receiving one or more images of a handbag,

eliminating all but select images from the one or more images of the handbag to obtain a grouping of one or more select images, the select images being those embodying a complete periphery and frontal view of the handbag,

for each of the one or more select images, aligning feature-corresponding pixels with an image axis,

comparing at least a portion of the one or more select images with a plurality of stored images, wherein said comparing comprises:

for each of the one or more select images, extracting a plurality of style-identifying features from the handbag contained therein, and

comparing the plurality of style-identifying features with a plurality of stored-image features from each of the plurality of stored images, and

determining characteristics of the handbag based on said comparing.

9 . The computer system of claim 8 , wherein the characteristics comprise a brand identifier and a style identifier.

10 . The computer system of claim 9 , wherein the brand identifier comprises a fashion brand name.

11 . The computer system of claim 9 , wherein the style identifier comprises a handbag name

12 . The computer system of claim 8 , the steps further comprising transforming the one or more images of the handbag or the one or more select images from a colorscale to a grayscale image.

13 . The computer system of claim 8 , wherein the feature-corresponding pixels comprises at least one of a bottom, a top, or a side portion of the handbag.

14 . The computer system of claim 13 , wherein the image axis comprises a bottom, a top, a left, or a right of the select image.

15 . A non-transitory computer-readable medium configured to store instructions, the instructions when executed by one or more computers, cause the one or more computers to perform operations comprising:

receiving one or more images of a handbag;

eliminating all but select images from the one or more images of the handbag to obtain a grouping of one or more select images, the select images being those embodying a complete periphery and frontal view of the handbag;

for each of the one or more select images, aligning feature-corresponding pixels with an image axis;

comparing at least a portion of the one or more select images with a plurality of stored images, wherein said comparing comprises:

for each of the one or more select images, extracting a plurality of style-identifying features from the handbag contained therein, and

comparing the plurality of style-identifying features with a plurality of stored-image features from each of the plurality of stored images; and

determining characteristics of the handbag based on said comparing.

16 . The non-transitory computer-readable medium of claim 15 , wherein the characteristics comprise a brand identifier and a style identifier.

17 . The non-transitory computer-readable medium of claim 16 , wherein the brand identifier comprises a fashion brand name.

18 . The non-transitory computer-readable medium of claim 16 , wherein the style identifier comprises a handbag name.

19 . The non-transitory computer-readable medium of claim 15 , the steps further comprising transforming the one or more images of the handbag or the one or more select images from a colorscale to a grayscale image.

20 . The non-transitory computer-readable medium of claim 15 , wherein the feature-corresponding pixels comprises at least one of a bottom, a top, or a side portion of the handbag.