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:
Feb. 02, 2021

Filed:

Jun. 27, 2019
Applicants:

National University Corporation Nagoya University, Nagoya, JP;

Toyota Jidosha Kabushiki Kaisha, Toyota, JP;

Inventors:

Hiroshi Murase, Nagoya, JP;

Yasutomo Kawanishi, Nagoya, JP;

Daisuke Deguchi, Nagoya, JP;

Nik Mohd Zarifie bin Hashim, Nagoya, JP;

Yusuke Nakano, Nagoya, JP;

Norimasa Kobori, Brussels, BE;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/70 (2017.01); G06T 7/00 (2017.01); G06K 9/00 (2006.01); G06N 20/00 (2019.01); G06F 17/18 (2006.01);
U.S. Cl.
CPC ...
G06T 7/70 (2017.01); G06F 17/18 (2013.01); G06K 9/00523 (2013.01); G06N 20/00 (2019.01); G06T 7/97 (2017.01); G06T 2207/20081 (2013.01);
Abstract

A viewpoint recommendation apparatus includes image feature extraction means for extracting an image feature from the acquired image at a first viewpoint, pose estimation means for calculating a first likelihood map indicating a relation between the estimated pose of the object and a likelihood of this estimated pose, second storage means for storing a second likelihood map indicating a relation between the true first viewpoint and a likelihood of this first viewpoint in the estimated pose, third storage means for storing a third likelihood map indicating a relation between the pose of the object when the object is observed at the first and the second viewpoints and a likelihood of this pose, and viewpoint estimation means for estimating the second viewpoint so that a value of an evaluation function of the first, second, and third likelihood maps becomes the maximum or minimum.


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