Kabushiki Kaisha Toshiba

Chao Zhang

Stephan Liwicki

Ignas Budvytis

A computer-implemented method for place recognition including: obtaining information identifying an image of a first scene; identifying a plurality of pixel clusters in the image; generating a set of feature vectors associated with the pixel clusters; generating a graph of the scene; adding a first edge between a first node and a second node in response to determining that a first property associated with a first pixel cluster is similar to a second property associated with a second pixel cluster; generating a vector representation of the graph; calculating a measure of similarity between the vector representation of the graph and a reference vector representation associated with a second scene; and determining that the first scene and the second scene are associated with a same place in response to determining that the measure of similarity is less than a threshold.

Lifted semantic graph embedding for omnidirectional place recognition

A computer implemented method for pose estimation of an image sensor includes receiving an omnidirectional image of a scene captured by an image sensor; using a trained neural network to generate a rotation equivariant feature map from the omnidirectional image of the scene; and determining information relating to the pose of said camera when capturing the scene from the rotation equivariant feature map. The rotation equivariant feature map is a SO(3) indexed feature map.

Rotation equivariant orientation estimation for omnidirectional localization

A computer vision method for processing an omnidirectional image to extract understanding of a scene, the method comprising:

Growing community of inventors

Cambridge, United Kingdom

Chao Zhang