A method includes generating, based on user images, a user 3-D model. The method proceeds with obtaining, via a user interface, a request to graphically represent an accessory on to a user graphical representation. This user graphical representation is generated using the user 3-D model. In response to this request, an accessory 3-D model is obtained. Further, the method includes positioning, via the user interface and based on parameters of the user 3-D model and of the accessory 3-D model, an accessory graphical representation on to the user graphical representation. The method further includes updating, in response to detecting user movement, the user 3-D model and the accessory 3-D model and presenting, via the user interface and based on these updated 3-D models, the accessory graphical representation and the user graphical representation in accordance with the user movement.

A method includes generating, based on user images, a user 3-D model. The method proceeds with obtaining, via a user interface, a request to graphically represent an accessory on to a user graphical representation. This user graphical representation is generated using the user 3-D model. In response to this request, an accessory 3-D model is obtained. Further, the method includes positioning, via the user interface and based on parameters of the user 3-D model and of the accessory 3-D model, an accessory graphical representation on to the user graphical representation. The method further includes updating, in response to detecting user movement, the user 3-D model and the accessory 3-D model and presenting, via the user interface and based on these updated 3-D models, the accessory graphical representation and the user graphical representation in accordance with the user movement.

[Problem] To perform interpretation assistance of a back portion image in real time using a general-purpose computer for any case of scoliosis.

[Solution] An interpretation assistance apparatus includes a center line creating unit that creates a center line C in a back portion image of a subject, a measurement interval designating unit that accepts designation of an arbitrary measurement interval I along the center line C, a measurement width designating unit that accepts designation of an arbitrary measurement width W toward intersecting directions of the center line C, and a measurement point coordinate obtaining unit that obtains depth coordinates of respective measurement points that are apart from the center line on both the right and left sides by the measurement width W at every measurement interval I.

[Problem] To perform interpretation assistance of a back portion image in real time using a general-purpose computer for any case of scoliosis.

[Solution] An interpretation assistance apparatus includes a center line creating unit that creates a center line C in a back portion image of a subject, a measurement interval designating unit that accepts designation of an arbitrary measurement interval I along the center line C, a measurement width designating unit that accepts designation of an arbitrary measurement width W toward intersecting directions of the center line C, and a measurement point coordinate obtaining unit that obtains depth coordinates of respective measurement points that are apart from the center line on both the right and left sides by the measurement width W at every measurement interval I.

A method for detecting interference patterns for an under-screen camera, a compensation method and a circuit system are provided. The circuit system includes an image-processing circuit and an under-screen camera module. The under-screen camera module captures an image by a lens through a glass substrate of a display module. After receiving the image, the image-processing circuit detects and compensates an interference pattern. In the method, multiple reference points are set in the image, and a brightness average value and a brightness target value for each of the reference points are obtained for calculating an area brightness ratio of the reference points. A binarized image is then obtained. The interference pattern is determined according to symmetrical characteristics of the binarized image. A target matrix is decided for compensating the interference pattern according to weights of all of the reference points of the image.

A method for detecting interference patterns for an under-screen camera, a compensation method and a circuit system are provided. The circuit system includes an image-processing circuit and an under-screen camera module. The under-screen camera module captures an image by a lens through a glass substrate of a display module. After receiving the image, the image-processing circuit detects and compensates an interference pattern. In the method, multiple reference points are set in the image, and a brightness average value and a brightness target value for each of the reference points are obtained for calculating an area brightness ratio of the reference points. A binarized image is then obtained. The interference pattern is determined according to symmetrical characteristics of the binarized image. A target matrix is decided for compensating the interference pattern according to weights of all of the reference points of the image.

A method for identifying a jet regulator (1) with improved precision and robustness is provided using a captured photo of a hole pattern (4) of an outlet structure (3) of the jet regulator (1). The captured photo is first compared with different stored hole pattern types (15) in a computer-implemented manner in a first step, and based on an evaluation of the respective degree of a match between the captured photo and each hole pattern type (15), the hole pattern type (15) on which the captured hole pattern (4) is based is ascertained. Subsequently, in another step, the ascertained hole pattern type (15) and the captured hole pattern (4) are examined for deviations in a computer-implemented manner, and identification information which uniquely identifies the jet regulator (1) is ascertained in a computer-implement manner using detected or undetected deviations and is optionally output.

A method for identifying a jet regulator (1) with improved precision and robustness is provided using a captured photo of a hole pattern (4) of an outlet structure (3) of the jet regulator (1). The captured photo is first compared with different stored hole pattern types (15) in a computer-implemented manner in a first step, and based on an evaluation of the respective degree of a match between the captured photo and each hole pattern type (15), the hole pattern type (15) on which the captured hole pattern (4) is based is ascertained. Subsequently, in another step, the ascertained hole pattern type (15) and the captured hole pattern (4) are examined for deviations in a computer-implemented manner, and identification information which uniquely identifies the jet regulator (1) is ascertained in a computer-implement manner using detected or undetected deviations and is optionally output.

Image modification using detected symmetry is described. In example implementations, an image modification module detects multiple local symmetries in an original image by discovering repeated correspondences that are each related by a transformation. The transformation can include a translation, a rotation, a reflection, a scaling, or a combination thereof. Each repeated correspondence includes three patches that are similar to one another and are respectively defined by three pixels of the original image. The image modification module generates a global symmetry of the original image by analyzing an applicability to the multiple local symmetries of multiple candidate homographies contributed by the multiple local symmetries. The image modification module associates individual pixels of the original image with a global symmetry indicator to produce a global symmetry association map. The image modification module produces a manipulated image by manipulating the original image under global symmetry constraints imposed by the global symmetry association map.

Image modification using detected symmetry is described. In example implementations, an image modification module detects multiple local symmetries in an original image by discovering repeated correspondences that are each related by a transformation. The transformation can include a translation, a rotation, a reflection, a scaling, or a combination thereof. Each repeated correspondence includes three patches that are similar to one another and are respectively defined by three pixels of the original image. The image modification module generates a global symmetry of the original image by analyzing an applicability to the multiple local symmetries of multiple candidate homographies contributed by the multiple local symmetries. The image modification module associates individual pixels of the original image with a global symmetry indicator to produce a global symmetry association map. The image modification module produces a manipulated image by manipulating the original image under global symmetry constraints imposed by the global symmetry association map.