Abstract:
An electronic device includes at least one processor that identifies a cyclic change related to an arm swing of a user from a three-dimensional acceleration measured by a measurer. The at least one processor defines a two-dimensional plane containing a plane of the arm swing of the user from the three-dimensional acceleration measured at a wrist of the user, detects the cyclic change as a motion on an arc centered at a shoulder of the user in the two-dimensional plane, obtains, from the three-dimensional acceleration, a direction of a line segment connecting the wrist and the shoulder, and obtains a bending angle of an elbow of the user based on the line segment.
Abstract:
When a displacement between a reference frame of a plurality of images acquired by continuous image pickup and a target frame is less than a first threshold indicating that such a frame is not likely to be affected by occlusion, smoothing is performed on an object area through a morphological operation with a normal process amount. Conversely, when a displacement between the reference frame of the plurality of images acquired by continuous image pickup and a target frame is larger than or equal to the first threshold, smoothing is performed with the process amount of morphological operation being increased with respect to the normal process amount.
Abstract:
An image processing apparatus includes: a first determination unit that determines whether or not a privacy level indicating a level of difficulty in identifying a person's face included in an image as a face of a specific person satisfies a predetermined condition; and an image capture control unit that performs control to execute a predetermined image-related process, in the case where the first determination unit determines that the privacy level satisfies the predetermined condition.
Abstract:
The animation preparing device includes at least one processor. The processor acquires exercise data concerning an exercise done by a user or the exercise that the user is doing. In a case where there exists a plurality of causes for a characteristic point of the user that has been detected based on the acquired exercise data, the processor prepares, from the exercise data, a first user animation represented in a first direction of line of sight as an animation of the exercise done by the user or the exercise that the user is doing in order to indicate a first cause for the characteristic point, and prepares a second user animation represented in a second direction of line of sight that is separate from the first line of sight in order to indicate a second cause for the characteristic point that is separate from the first cause.
Abstract:
In order to allow main parts of a face to move more naturally, a movement processing apparatus includes a face main part detection unit configured to detect a main part forming a face from an acquired face image, a shape specifying unit configured to specify a shape type of the detected main part, and a movement condition setting unit configured to set a control condition for moving the main part, based on the specified shape type of the main part.
Abstract:
A subject determination apparatus includes: an image obtaining unit, first and second similarity degree determination units, an information obtaining unit, and a subject determination unit. The second similarity degree determination unit determines whether a similarity degree between a reference image and an image of a candidate region of a specific subject image in one of frame images sequentially obtained by the image obtaining unit is equal to or more than a second threshold value smaller than a first threshold value if the similarity degree is determined by the first similarity degree determination unit to be less than the first threshold value. The information obtaining unit obtains information indicating a similarity degree between the reference image and an image of a region corresponding to the candidate region in another frame image obtained a predetermined number of frames before the one frame image.
Abstract:
An electronic device includes at least one processor that identifies a cyclic change related to an arm swing of a user from a three-dimensional acceleration measured by a first measurer. The at least one processor defines a two-dimensional plane containing a plane of the arm swing of the user from the three-dimensional acceleration measured at a wrist of the user, detects the cyclic change as a motion on an arc centered at a shoulder of the user in the two-dimensional plane, and obtains an angle of the arm swing.
Abstract:
A contour detection apparatus includes a processor. The processor learns to detect a nail contour being a detection target by setting an initial shape including feature points based on learning data each being image data on a finger including a learning target nail, and setting, as a reference point, a feature point among the feature points corresponding to a reference position, thereby obtaining contour detection information. The processor arranges, in treatment target data being image data on a finger including a treatment target nail, an initial position of the shape such that a point corresponding to the reference position in a contour of the finger including the treatment target nail is superposed on the reference point, and fits the shape to the treatment target nail from the initial position, thereby detecting the nail contour of the treatment target nail.
Abstract:
A nail contour detecting device including a processor, wherein the processor obtains first feature point data of a first nail contour which is a nail contour detected from a first nail image obtained by imaging a nail of a finger or a toe, and second feature point data of a second nail contour which is a nail contour detected from a second nail image obtained by imaging a nail of the same finger or toe as the first nail image; and the processor obtains one nail contour based on the first feature point data and the second feature point data.
Abstract:
A contour detection apparatus includes at least one processor. The processor detects a first nail contour defining a nail region from a finger image of a finger including a nail by performing fitting with a nail contour model. Further, the processor obtains a second nail contour input from a user against the first nail contour that the user does not approve. Further, the processor classifies the first nail contour as a group based on dimensional information on dimensions of the first nail contour, and derives difference information indicating a difference between the first nail contour and the second nail contour.