A material generation apparatus includes an acquisition unit configured to acquire a plurality of camera images, and a material data generation unit configured to generate, based on a camera image selected from among the camera images, at least one of a foreground image and a background image as material data to be used for generation of an image corresponding to a designated viewpoint.

A computer-implemented method for 3D reconstruction including obtaining 2D images and, for each 2D image, camera parameters which define a perspective projection. The 2D images all represent a same real object. The real object is fixed.

The method also includes obtaining, for each 2D image, a smooth map. The smooth map has pixel values, and each pixel value represents a measurement of contour presence. The method also includes determining a 3D modeled object that represents the real object. The determining iteratively optimizes energy. The energy rewards, for each smooth map, projections of silhouette vertices of the 3D modeled object having pixel values representing a high measurement of contour presence. This forms an improved solution for 3D reconstruction.

Various embodiments may include collecting, by an unmanned aerial vehicle (UAV), a measuring image of an assessed heliostat in a heliostat field. The measuring image of the assessed heliostat includes an assessed facet forming a reflective surface of the assessed heliostat. At least a portion of a reference heliostat is visible in a reflection on the assessed facet. Also, a surface normal variance between a calculated surface normal of the assessed heliostat and a presumed surface normal of the assessed heliostat may be collected. The calculated surface normal is determined from a point on the assessed facet that corresponds to one or more features of the reference heliostat identifiable in the reflection. The presumed surface normal of the assessed heliostat may be updated based on the determined surface normal variance.

Various embodiments may include collecting, by an unmanned aerial vehicle (UAV), a measuring image of an assessed heliostat in a heliostat field. The measuring image of the assessed heliostat includes an assessed facet forming a reflective surface of the assessed heliostat. At least a portion of a reference heliostat is visible in a reflection on the assessed facet. Also, a surface normal variance between a calculated surface normal of the assessed heliostat and a presumed surface normal of the assessed heliostat may be collected. The calculated surface normal is determined from a point on the assessed facet that corresponds to one or more features of the reference heliostat identifiable in the reflection. The presumed surface normal of the assessed heliostat may be updated based on the determined surface normal variance.

An image processing apparatus includes a memory and a processor coupled to the memory and configured to perform acquiring object area information representing an image area of a target object in an image from an image database, using the object area information to calculate a distance map representing distance values from a contour of the target object inside the image area, and generating, based on the distance map, a line of points representing a curved line reflecting a global shape of the target object.

An image processing apparatus includes a memory and a processor coupled to the memory and configured to perform acquiring object area information representing an image area of a target object in an image from an image database, using the object area information to calculate a distance map representing distance values from a contour of the target object inside the image area, and generating, based on the distance map, a line of points representing a curved line reflecting a global shape of the target object.

Systems and methods for obtaining hand images are provided. A method, performed by at least one processor that implements at least one network, includes obtaining a single source image, a three-dimensional (3D) hand pose of a first hand in the single source image, and a 3D target hand pose; and generating an image of a second hand, that has an appearance of the first hand and a pose of the 3D target hand pose, based on the single source image, the 3D hand pose, and the 3D target hand pose.

Systems and methods for obtaining hand images are provided. A method, performed by at least one processor that implements at least one network, includes obtaining a single source image, a three-dimensional (3D) hand pose of a first hand in the single source image, and a 3D target hand pose; and generating an image of a second hand, that has an appearance of the first hand and a pose of the 3D target hand pose, based on the single source image, the 3D hand pose, and the 3D target hand pose.

A medical image processing apparatus of an embodiment includes processing circuitry. The processing circuitry is configured to acquire time-series medical images including blood vessels of an examination subject, the time-series medical images being fluoroscopically captured in at least one direction at a plurality of points in time, generate a blood vessel shape model including time-series variation information about the blood vessels in an analysis region of the blood vessels on the basis of the acquired time-series medical images, and perform fluid analysis of blood flowing through the blood vessels on the basis of the generated blood vessel shape model.

A medical image processing apparatus of an embodiment includes processing circuitry. The processing circuitry is configured to acquire time-series medical images including blood vessels of an examination subject, the time-series medical images being fluoroscopically captured in at least one direction at a plurality of points in time, generate a blood vessel shape model including time-series variation information about the blood vessels in an analysis region of the blood vessels on the basis of the acquired time-series medical images, and perform fluid analysis of blood flowing through the blood vessels on the basis of the generated blood vessel shape model.