Canon Kabushiki Kaisha

Yu Okano

Kazuki Takemoto

An information processing device controls a display for displaying a guide that instructs a user to perform each of a plurality of patterns of motions including translational motions or rotational motions of an inertial sensor that correspond to a first axis and a second axis, which are perpendicular to each other. Based on inertial information and position and orientation information acquired by causing the inertial sensor to perform the plurality of patterns of motions, the information processing device acquires parameters including a degree of correlation between actual inertial values of the inertial sensor corresponding to the first axis and the inertial information corresponding to the second axis.

Information processing device, information processing method, non-transitory computer readable medium

A calibration apparatus of an inertial sensor, obtains an angular velocity value from the inertial sensor, derives a distribution of a difference between temporally adjacent angular velocity values concerning a plurality of angular velocity values obtained during a given period, and determines, based on the distribution, whether the inertial sensor is in a motionless state during the given period. Then, if it is determined that the inertial sensor is in the motionless state, the calibration apparatus decides a bias value of the inertial sensor based on the plurality of angular velocity values and corrects the obtained angular velocity value based on the bias value.

Calibration apparatus and calibration method

Based on an image captured by an image capturing unit, a three-dimensional position in a real space corresponding to each of one or more features included in the image is estimated, a candidate region that is a region on a plane of an object existing in the real space is determined as a candidate for a region to which features are to be added based on the estimated three-dimensional position, and a recommended region to which the features are to be added is determined in the candidate region based on the number of features included in a partial region set in the determined candidate region.

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Yokohama, Japan

Yu Okano