Abstract:
A medical image processing apparatus includes a processing unit configured to process, using learning result data that is at least one or more pieces of learning result data obtained by machine learning and is selected based on imaging information, a medical image obtained based on the imaging information, the imaging information including information regarding a radiation detection apparatus used for imaging.
Abstract:
An information processing apparatus that inspects a state of a target object using distance information obtained by measuring the target object includes an acquisition unit configured to acquire position information indicating a position of a part of the target object based on the distance information, and an output unit configured to output, in a case where a position of a part of the target object does not satisfy a predetermined condition, based on the position information and the condition, information regarding a direction in which the target object is to be moved from a current state of the target object to a state satisfying the condition.
Abstract:
An information processing apparatus includes, an acquisition unit that acquires surface position information on an object, a decision unit that decides a measurement position for measuring the object based on the surface position information acquired by the acquisition unit, a measurement unit that measures contact position information on contact with the object at the measurement position decided by the decision unit, a creation unit that creates map information indicative of spatial position information on the object based on the contact position information measured by the measurement unit, and a recognition unit that recognizes the position and orientation of the object based on the map information created by the creation unit.
Abstract:
A robot control apparatus for controlling a robot manipulating a target object includes a measurement unit configured to measure a change of a gripping unit configured to grip the target object when the gripping unit contacts the target object, a first acquisition unit configured to acquire the change of the gripping unit measured by the measurement unit, a second acquisition unit configured to acquire a gripping state, which is a state of gripping of the target object by the gripping unit, based on the change of the gripping unit acquired by the first acquisition unit, and a control unit configured to control an action of the robot based on the gripping state acquired by the second acquisition unit.
Abstract:
A distance measurement apparatus includes an imaging lens configured to form an image of an object on an imaging plane, a solid-state image sensor configured to acquire an image based on light flux passing through a plurality of areas different from each other in an exit pupil of the imaging lens, and a calculation unit configured to calculate a distance based on a signal acquired from the solid-state image sensor. The calculation unit includes a processing unit configured to acquire a first signal in a first imaging condition by using the solid-state image sensor, a processing unit configured to acquire a second signal in a second imaging condition different from the first imaging condition by using the solid-state image sensor, and a processing unit configured to calculate a base length and a distance based on the first signal and the second signal.
Abstract:
An image processing apparatus comprises a first obtaining unit that obtains examination information, a readout unit that reads out learning result data selected based on the examination information from a storage unit storing at least one piece of learning result data that has been obtained by machine learning in advance, a second obtaining unit that obtains a medical image obtained based on the examination information obtained by the first obtaining unit, and a processing unit that processes the medical image obtained by the second obtaining unit using learning result data read out by the readout unit.
Abstract:
An image processing apparatus comprises a first obtaining unit that obtains examination information, a readout unit that reads out learning result data selected based on the examination information from a storage unit storing at least one piece of learning result data that has been obtained by machine learning in advance, a second obtaining unit that obtains a medical image obtained based on the examination information obtained by the first obtaining unit, and a processing unit that processes the medical image obtained by the second obtaining unit using learning result data read out by the readout unit.
Abstract:
A medical information processing apparatus comprises: an obtaining unit that obtains medical information; a learning unit that performs machine learning on a function of the medical information processing apparatus using the medical information; an evaluation data holding unit that holds evaluation data for evaluating a learning result of the learning unit; and an evaluating unit that evaluates a learning result obtained through machine learning, based on the evaluation data.
Abstract:
The information processing apparatus includes an estimation unit to estimate information indicating a holding success possibility from an image of a plurality of the target objects by using a pre-trained model that estimates the information indicating the holding success possibility in at least one or more partial regions, a determination unit to determine a holding region for the robot to hold the target object among the partial regions based on the information indicating the holding success possibility, and a control unit to move the robot based on the holding region and cause the robot to perform a holding operation on the target object. In a case where the holding operation performed on the target object by the robot is failed, the determination unit determines a partial region, among the partial regions, satisfying a predetermined condition as a next holding region based on the information indicating the holding success possibility.
Abstract:
An information processing apparatus includes a first obtaining unit configured to obtain a holding position and orientation of a manipulator when holding of a target object is performed and holding success or failure information of the target object in the holding position and orientation, a second obtaining unit configured to obtain an image in which the target object is imaged when the holding of the target object is performed, and a generation unit configured to generate learning data when the holding of the target object by the manipulator is learnt on a basis of the holding position and orientation and the holding success or failure information obtained by the first obtaining unit and the image obtained by the second obtaining unit.