The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Sep. 24, 2019

Filed:

Sep. 15, 2015
Applicant:

Peking University Shenzhen Graduate School, Shenzhen, CN;

Inventors:

Wenmin Wang, Shenzhen, CN;

Mingmin Zhen, Shenzhen, CN;

Ronggang Wang, Shenzhen, CN;

Ge Li, Shenzhen, CN;

Shengfu Dong, Shenzhen, CN;

Zhenyu Wang, Shenzhen, CN;

Ying Li, Shenzhen, CN;

Wen Gao, Shenzhen, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/46 (2006.01); G06T 5/00 (2006.01); G06T 7/33 (2017.01); G06T 7/37 (2017.01); G06K 9/40 (2006.01); G06K 9/62 (2006.01);
U.S. Cl.
CPC ...
G06T 5/002 (2013.01); G06K 9/40 (2013.01); G06K 9/4676 (2013.01); G06K 9/6247 (2013.01); G06K 9/6267 (2013.01); G06T 7/33 (2017.01); G06T 7/37 (2017.01);
Abstract

An image representation method and processing device based on local PCA whitening. A first mapping module maps words and characteristics to a high-dimension space. A principal component analysis module conducts principal component analysis in each corresponding word space, to obtain a projection matrix. A VLAD computation module computes a VLAD image representation vector; a second mapping module maps the VLAD image representation vector to the high-dimension space. A projection transformation module conducts projection transformation on the VLAD image representation vector obtained by means of projection. A normalization processing module conducts normalization on characteristics obtained by means of projection transformation, to obtain a final image representation vector. An obtained image representation vector is projected to a high-dimension space first, then projection transformation is conducted on a projection matrix computed in advance and vectors corresponding to words, to obtain a low-dimension vector; and in this way, the vectors corresponding to the words are consistent. The disclosed method and the processing device can obtain better robustness and higher performance.


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