A method includes steps of: (a) causing a display device to display an image of a real object based on captured image data of a real object; (b) causing the display device to display a 2D model obtained from a projection of a 3D model corresponding to the real object based at least on a view; and (c) storing appearance data of the real object and data of the 2D model into a memory device while associating the appearance data and the data of the 2D model with each other after the real object and the 2D model are displayed so as to be aligned with or substantially aligned with each other by the display device.

The image inspection device includes a reference height setting part configured to set a reference height as a reference of vibration component estimation, a vibration estimation part configured to estimate a vibration component in an inspection environment, based on the two-dimensional profile generated by the two-dimensional profile generation part and the reference height set by the reference height setting part, a profile correction part configured to remove, from the two-dimensional profile, the vibration component estimated by the vibration estimation part, a three-dimensional data generation part configured to generate three-dimensional data of the inspection object from a plurality of the two-dimensional profiles from which the vibration component is removed by the profile correction part, and an inspection part configured to conduct outer appearance inspection of the inspection object, based on the three-dimensional data generated by the three-dimensional data generation part.

A method includes, following specification of an initial transformation as a test transformation that is to be optimized, determining a 2D gradient x-ray image and a 3D gradient dataset of the image dataset, carrying out, for each image element of the gradient comparison image, a check for selection as a contour point, and determining an environment best corresponding to a local environment of the contour point and extending around a comparison point in the gradient x-ray image for all contour points in the at least one gradient comparison image. Local 2D displacement information is determined by comparing the contour points with the associated comparison points, and motion parameters of a 3D motion model describing a movement of the target region between the acquisition of the image dataset and the x-ray image are determined from the displacement information and a registration transformation describing the registration.

A method includes, following specification of an initial transformation as a test transformation that is to be optimized, determining a 2D gradient x-ray image and a 3D gradient dataset of the image dataset, carrying out, for each image element of the gradient comparison image, a check for selection as a contour point, and determining an environment best corresponding to a local environment of the contour point and extending around a comparison point in the gradient x-ray image for all contour points in the at least one gradient comparison image. Local 2D displacement information is determined by comparing the contour points with the associated comparison points, and motion parameters of a 3D motion model describing a movement of the target region between the acquisition of the image dataset and the x-ray image are determined from the displacement information and a registration transformation describing the registration.

The present disclosure is directed to techniques for medical imaging image presentation. The techniques include obtaining, for a target area including a first target, an image of the target area that is taken without a contrast agent and an image of the target area that is taken with a contrast agent. The techniques also include subtracting the image that is taken with a contrast agent from the image that is taken without a contrast agent to obtain a subtraction image; extracting a contour of a second target from the subtraction image, to obtain a contour image of the second target; and registering, based on a same marker, the contour image of the second target and a currently-acquired (e.g. real-time) image, and then displaying the images in a superimposed manner. The technical solutions in the embodiments of the present disclosure improve the efficiency of treatment based on radiological images.

The present disclosure is directed to techniques for medical imaging image presentation. The techniques include obtaining, for a target area including a first target, an image of the target area that is taken without a contrast agent and an image of the target area that is taken with a contrast agent. The techniques also include subtracting the image that is taken with a contrast agent from the image that is taken without a contrast agent to obtain a subtraction image; extracting a contour of a second target from the subtraction image, to obtain a contour image of the second target; and registering, based on a same marker, the contour image of the second target and a currently-acquired (e.g. real-time) image, and then displaying the images in a superimposed manner. The technical solutions in the embodiments of the present disclosure improve the efficiency of treatment based on radiological images.

A method for deriving accurate body size measures of a user from a sequence of 2D images includes: a) automatically guiding the user through a sequence of body poses and motions; b) scanning the body of said user by obtaining a sequence of raw 2D images of said user as captured by at least one camera during said guided sequence of poses and motions; c) analyzing the behavior of said user to ensure that the user follows the provided instructions; d) extracting and encoding 2D shape data descriptors from said sequence of images by using a 2D shape analyzer (2DSA); and e) integrating said 2D shape descriptors and data representing the user's position, pose and rotation into a 3D shape model.

A method for deriving accurate body size measures of a user from a sequence of 2D images includes: a) automatically guiding the user through a sequence of body poses and motions; b) scanning the body of said user by obtaining a sequence of raw 2D images of said user as captured by at least one camera during said guided sequence of poses and motions; c) analyzing the behavior of said user to ensure that the user follows the provided instructions; d) extracting and encoding 2D shape data descriptors from said sequence of images by using a 2D shape analyzer (2DSA); and e) integrating said 2D shape descriptors and data representing the user's position, pose and rotation into a 3D shape model.

The embodiments herein relate to a method for deriving topography of an object surface. A linearly polarized light wave is directed towards the object surface and a reference surface. Images of reflected linearly polarized light wave for a plurality of wavelengths are obtained. The images are obtained for at least four polarizations for each of the plurality of wavelengths. The reflected linearly polarized light wave is a reflection of the linearly polarized light wave directed towards the object surface and the reference surface. The topography of the object surface based on the obtained images is obtained.

The embodiments herein relate to a method for deriving topography of an object surface. A linearly polarized light wave is directed towards the object surface and a reference surface. Images of reflected linearly polarized light wave for a plurality of wavelengths are obtained. The images are obtained for at least four polarizations for each of the plurality of wavelengths. The reflected linearly polarized light wave is a reflection of the linearly polarized light wave directed towards the object surface and the reference surface. The topography of the object surface based on the obtained images is obtained.