Abstract: The present disclosure describes a system and method for implementing a virtual shoe try-on feature. The method includes predicting, using a machine learning model, a first plurality of pixels including pixels of an image corresponding to a foot in the image and adding a first virtual cylindrical object to a three-dimensional model of a shoe such that a portion of the first virtual cylindrical object is positioned within the three-dimensional model of the shoe. The method also include determining a set of pixels including pixels of the first plurality of pixels that intersect with the first virtual cylindrical object and removing, from the three-dimensional model of the shoe, a first portion of the three-dimensional model of the shoe that intersects with the set of pixels.

Abstract: An electronic device and method for 3D human modeling under a specific body-fitting of clothes is disclosed. A set of depth images of a person wearing clothes is acquired and an initial body model is generated based on a first shape-fitting of a human body prior with at least a first depth scan. A posed-body model is obtained based on a pose-fitting of the initial body model with at least one depth scan. In each depth scan, clothed scan points and unclothed scan points are determined. A final body model is determined based on a second shape-fitting of vertices which belong to the posed-body model and correspond to an under-cloth skin portion of the body of the person. The second shape-fitting is based on the clothed scan points and the unclothed scan points. The final body model is textured based on a skin texture map for the body.

Abstract: A method, processor, and computer readable medium for generating blended intensity data for processing by a further processor, the method comprising the steps of generating a local contrast map based on image data, the local contrast map comprising a plurality of contrast values. An alpha mask is generated by associating an alpha mask value to each contrast value. First intensity data based on the image data using a first intensity calculation method and second intensity data based on the image data using a second intensity calculation method are also generated. The blended intensity data is generated by blending from at least one of the first intensity data and the second intensity data based on the alpha mask values; and outputted to the further processor.

Abstract: Disclosed is an image processing apparatus and a method of operating the same. The image processing apparatus includes: a memory storing information on at least one random patch; and at least one processor configured to: obtain correlations between a pixel block included in an input image and each of a plurality of random patches obtained from the information on the at least one random patch, obtain weights respectively for the plurality of random patches on a basis of the obtained correlations and apply the weights respectively to the plurality of random patches, and obtain an output image by applying, to the pixel block, the plurality of random patches to which the weights are respectively applied.

Abstract: A method for displaying a personalized face of a three-dimensional (3D) character is provided, performed by a computer device, the method including: obtaining a texture identifier of a personalized face model of a 3D character, the texture identifier being used for identifying a target pattern texture of a target part on the personalized face model, the target part being configured with a corresponding UV texture image, the UV texture image comprising at least two candidate pattern textures of the target part; drawing a basic UV texture image on the personalized face model, the basic UV texture image comprising a texture of a region other than the target part; determining, according to the texture identifier, the target pattern texture from the at least two candidate pattern textures of the target part according to; and drawing the target pattern texture on a region corresponding to the target part on the personalized face model.

Abstract: A method of garment deformation based on Laplacian deformation of a human body, including the following steps: inputting polygonal mesh models of the human body and the garment; discretizing non-homogeneous mesh models of the human body and the garment inputted in the first step; clustering all the discretized mesh vertices, to reduce a number of vertices and to form a set of homogeneous discrete vertices; constructing Laplacian matrices of the human body and the garment; preprocessing and solving inverse matrices; editing by using the human body mesh as a control vertex, to drive a real-time smooth deformation of the garment mesh; and mapping a deformed and simplified mesh back to a mesh space of an original resolution to obtain deformed human body and garment mesh models.

Abstract: An information-processing device selects a worn-item object to be worn by a character object within a virtual space, controls the character object within the virtual space, deforms at least one part of the character object by a degree according to a first parameter that is associated with the selected worn-item object, the at least one part being associated with the first parameter, and generates, by use of a virtual camera, an image of the virtual space that includes the character object wearing the selected worn-item object.

Abstract: An automated cage-to-cage fitting technique is used to fit arbitrary three-dimensional (3D) geometry to arbitrary target 3D geometry for 3D avatars in a 3D environment, such as an online game. Each graphical representation of items of clothing is provided with an inner cage and with an outer cage. The inner cage of a clothing item (a current layer) is mapped to the outer cage of another clothing item (a previous/underlying layer) that has already been fitted on the 3D avatar. This mapping enables the current layer to conform to the shape of the previous layer. The technique allows any body geometry to be fitted with any clothing geometry, including enabling layers of clothing to be fitted over underlying layer(s) of clothing, thereby providing customization.

Abstract: A computer-implemented method for generating personalized image filters is disclosed. The computer-implemented method includes receiving a user request to generate a filter for an input image. The computer-implemented method further includes generating one or more keyword lists associated with the input image. The computer-implemented method further includes determining one or more themes associated with the input image based, at least in part, on one or more keywords selected from the one or more keyword lists. The computer-implemented method further includes identifying one or more candidate images matching the one or more themes associated with the image. The computer-implemented method further includes generating one or more personalized image filters based on one or more features from one or more of the candidate images.

Abstract: The present disclosure relates to combination of images. A method according to an embodiment comprises: receiving a visual image and an infrared (IR) image of a scene and for a portion of said IR image extracting high spatial frequency content from a corresponding portion of said visual image. The method according to the embodiment further comprises combining said extracted high spatial frequency content from said portion of the visual image with said portion of the IR image, to generate a combined image, wherein the contrast and/or resolution in the portion of the IR image is increased compared to the contrast and/or resolution of said received IR image.

Abstract: Disclosed is an image processing apparatus and a method of operating the same. The image processing apparatus includes: a memory storing information on at least one random patch; and at least one processor configured to: obtain correlations between a pixel block included in an input image and each of a plurality of random patches obtained from the information on the at least one random patch, obtain weights respectively for the plurality of random patches on a basis of the obtained correlations and apply the weights respectively to the plurality of random patches, and obtain an output image by applying, to the pixel block, the plurality of random patches to which the weights are respectively applied.

Abstract: An electronic device includes a display, at least one processor, and a memory. The memory is configured to store instructions that when executed enable the processor to control the display to display an execution screen of application stored in the memory. The instructions also enable the processor to identify an occurrence of an event for displaying an execution screen of the virtual keyboard application while displaying the execution screen of the application. The instructions further enable the processor to, based on the occurrence of the event, identify at least one color value related to the at least one element included in the execution screen of the application, and control the display to display the execution screen of the virtual keyboard application corresponding to the at least one identified color value.

Abstract: A method for a user to paint an image includes generating a display of a room image uploaded by the user. The method also includes employing a straight-line masking tool to block off a first area of the room image with a straight line such that color will not be applied to the first area when color is applied to a second area of the room image. The method also includes employing a polygon masking tool to draw at least three lines to mask off a selected polygon area of the room image such that color can be applied by the user to an inside of the selected polygon area when the user selects the inside of the selected polygon area and an outside of the selected polygon area when the user selects the outside of the selected polygon area.

Abstract: Disclosed is an image processing apparatus and a method of operating the same. The image processing apparatus includes: a memory storing information on at least one random patch; and at least one processor configured to: obtain correlations between a pixel block included in an input image and each of a plurality of random patches obtained from the information on the at least one random patch, obtain weights respectively for the plurality of random patches on a basis of the obtained correlations and apply the weights respectively to the plurality of random patches, and obtain an output image by applying, to the pixel block, the plurality of random patches to which the weights are respectively applied.

Abstract: Fill techniques as implemented by a computing device are described to perform hole filling of a digital image. In one example, deeply learned features of a digital image using machine learning are used by a computing device as a basis to search a digital image repository to locate the guidance digital image. Once located, machine learning techniques are then used to align the guidance digital image with the hole to be filled in the digital image. Once aligned, the guidance digital image is then used to guide generation of fill for the hole in the digital image. Machine learning techniques are used to determine which parts of the guidance digital image are to be blended to fill the hole in the digital image and which parts of the hole are to receive new content that is synthesized by the computing device.

Abstract: A mobile terminal is provided. The mobile terminal includes at least one processor configured to divide one image into a plurality of partial images, perform first resolution processing on a first partial image among the plurality of partial images, perform second resolution processing on a second partial image partially overlapping the first partial image among the plurality of partial images, perform overlapping processing on an overlapping region of the first partial image and the second partial image by using “first result data by the first resolution processing and second result data by the second resolution processing” in the overlapping region, and display an image obtained by connecting a non-overlapping region of the first partial image on which the first resolution processing is performed, the overlapping region on which the overlapping processing is performed, and a non-overlapping region of the second partial image on which the second resolution processing is performed.

Abstract: A processor detects feature lines from an image of an object and generates projection lines by projecting line segments in shape information of the object on the image. The processor generates combinations each including a feature line and a projection line and generates plural sets each including a specific number of combinations. The processor uses each set to estimate a position and an orientation of an imaging device that has captured the image, and evaluates a result of the estimation for each set. When there is a change in a relative position or orientation between the object on the image and a shape represented by the shape information, the processor repeats generation of the plural sets, estimation of the position and the orientation of the imaging device and evaluation of the estimation result. The processor determines the position and the orientation of the imaging device based on the repeated evaluation.

Abstract: An image processing method using a first image sensor covering the visible range and a second sensor covering the infra-red range. The method includes a) acquiring a first image I1 of said given zone of space by means of the first image sensor, b) acquiring a second image I2 of said given zone of space by means of the second image sensor, c) performing a decomposition of the first image I1 so as to obtain at least one luminance image I1L, d) obtaining an image If resulting from digital fusion of the luminance image I1L and of the second image I2, e) adding colour information to the fusion image If or during the fusion stage d).

Abstract: Fill techniques as implemented by a computing device are described to perform hole filling of a digital image. In one example, deeply learned features of a digital image using machine learning are used by a computing device as a basis to search a digital image repository to locate the guidance digital image. Once located, machine learning techniques are then used to align the guidance digital image with the hole to be filled in the digital image. Once aligned, the guidance digital image is then used to guide generation of fill for the hole in the digital image. Machine learning techniques are used to determine which parts of the guidance digital image are to be blended to fill the hole in the digital image and which parts of the hole are to receive new content that is synthesized by the computing device.

Abstract: A method of operating an electronic device is provided. The method includes receiving, by a display driving circuit of the electronic device, main image data over a first channel from a first processor or a second processor of the electronic device, outputting, by the display driving circuit, a main image on a display panel of the electronic device based on the main image data, generating, by the display driving circuit, an additional image different from the main image, and merging, by the display driving circuit, the main image with the additional image and outputting, by the display driving circuit, the merged image on the display panel.

Abstract: According to an example, coordinates in a coordinate space of a display device at which a line is to be displayed may be determined. A first set of intensity profile discs corresponding to the determined coordinates and a second set of intensity profile discs having inverted intensity profiles from the first set of intensity profile discs may be identified. The identified second set of intensity profile discs may be displayed at the determined coordinates on the display device and the identified first set of intensity profile discs may be displayed over the displayed second set of intensity profile discs on the display device.

Abstract: The invention provides a computer-implemented authentication method comprising the step of enabling a user to input an identifier (e.g. a PIN) into an electronic device having a screen and a keypad operable within a keypad zone of the screen; by operating at least one key of the keypad via an image of at least part of a scrambled keypad which is displayed at least partially within the keypad zone. The user's operation of the keypad key via the image generates an encoded version of the user's intended input. In one sense the invention can be perceived as superimposing a non-functional image of a scrambled keyboard over an underlying, functional keypad. The image may be any type of electronic image, and may include a video image. The invention is particularly suited for use with, but not limited to, mobile phones, tablet computer, PCs etc. It can be implemented in any system wherein a user's identity must be verified before access is granted to a controlled resource.

Abstract: Video overlays are modified to enhance readability. In one example a frame of a video sequence of frames is received and an overlay for display on the frame is received. A location of the overlay in the frame is determined. Background pixels in the frame that are in the overlay location are determined. Values of the identified pixels are analyzed and an overlay color is selected based on the analysis. The overlay is then blended into the frame using the selected overlay color.

Abstract: In various example embodiments, a system and method are provided for automated estimation of a saliency map for an image based on a graph structure comprising nodes corresponding to respective superpixels on the image, the graph structure including boundary-connecting nodes that connects each non-boundary node to one or more boundary regions. Each non-boundary node is in some embodiments connected to all boundary nodes by respective boundary-connecting edges forming part of the graph. Edge weights are calculated to generate a weighted graph. Saliency map estimation comprises bringing respective nodes for similarity to a background query. The edge weights of at least some of the edges are in some embodiments calculated as a function of a geodesic distance or shortest path between the corresponding nodes.

Abstract: A variable focal length (VFL) lens system is provided including a tunable acoustic gradient (TAG) lens and an optical focus monitoring configuration for providing a focus monitoring signal that reflects a focus state with high accuracy and without significant latency. An input illumination pattern is transmitted through the TAG lens to provide a corresponding output illumination pattern that has a size and intensity that depends on the optical power of the TAG lens. An optical focus signal detector portion includes a filtering configuration and a focus photodetector that provides a focus output signal that varies in relation to the total light energy that the focus photodetector receives, wherein the filtering configuration receives the output illumination pattern and limits the amount of included focus detection light that reaches the focus photodetector. A focus monitoring signal is provided based on the focus output signal provided by the focus photodetector.

Abstract: A mobile computing device for providing an indication of process readings of a machine includes a processor configured to receive an image of a process indicator wherein capture of the image is initiated using the mobile computing device proximate the machine. The at least one processor is also configured to determine a template including a template image of the process indicator and template components of the process indicator. The at least one processor is further configured to display the received image and the determined template image such that they overlay each other and align the received image with the determined template image. The at least one processor is also configured to determine a position of a value indicator with respect to a scale of the process indicator, transform the determined position to a process indicator value, and store the process indicator value in the one or more memory devices.

Abstract: A method, system, computer readable media and cloud systems are provided for rendering virtual reality (VR) views into VR scenes for presentation to a head mounted display (HMD). One method includes sensing a position of a nose of the user when the HMD is worn by the user. The method includes identifying a model of the nose of the user based on the position that is sensed. The model of the nose having a dimension that is based on the position of the nose of the user, when the HMD is worn. The method further includes rendering images to a screen of the HMD to present the VR scenes. The images being augmented to include nose image data from the model of the nose. In one example, the HMD is configured to capture facial feature expressions which are usable to generate avatar faces of the user, and convey facial expressions and/or emotion.

Abstract: An apparatus can include a processor; memory accessibly by the processor; a display operatively coupled to the processor; an object detector operatively coupled to the processor; and display circuitry that controls transparency of a rendered keyboard based at least in part on input sensed via the object detector.

Abstract: The disclosure is related to a method and a computer apparatus for processing a border of a computer figure and merging the figure into a background image. In the method, a user interface is provided for the user to operate the computer figure through a touch screen. The computer figure is configured to be merged into a background image, or a specific image object. The computer figure is processed by performing a border-treatment algorithm when it is moved and combined with the background image. In the process of border-treatment, the graphic information of the background image is taken into consideration. The computer figure is allowed to be well merged into the background image by considering the background's graphic information when the images are combined. Therefore, a visual effect of fusing the images can be achieved.

Abstract: A program guide in which a video layer includes a plurality of video objects including title objects, each title object having associated with it a channel and at least one time slot, the video layer being formed in response to a received video stream and a graphics layer comprising a plurality of graphics objects including title overlay objects, each of the title overlay objects selectively imparting at least a visual de-emphasis to a respective title object in the video layer, the visual de-emphasis being imparted to title objects not being associated with a desired time slot.

Abstract: An image processing program for causing a computer to execute: a procedure for obtaining a first image; a procedure for obtaining a second image; a procedure for changing at least a part of the second image in accordance with a signal; and a procedure for processing the first image using the changed second image. The second image is at least one of a handwritten image, a letter image, and a selected image, and the signal is used in a process which splashes the second image in a procedure which changes at least a part of the second image.

Abstract: An aspect of the present invention proposes a novel approach that can reduce the total number of the overlays to be composited during the display of graphical output in a mobile computing device. As a result, the total number of memory bandwidth and the usage of a graphics processing unit by a pre-compositor can be decreased significantly. According to one embodiment, this new approach is implemented with a display panel with embedded memory which supports a partial update, or refresh feature. Which such a feature, the layer compositor (typically either the display controller or GPU) is able to keep track of actively updating regions of a display panel by checking if each layer has new content to be displayed.

Abstract: An image processing device including an image sensor array, an image pre-processing unit, a depth information generator, and a focusing unit is provided. The image sensor array takes multiple images of a first object and a second object. The image pre-processing unit processes the images to generate two shift images associated with the two objects. The depth information generator generates depth information according to the two shift images. The depth information includes distance information associated with the first object. The focusing unit generates a pair of focused images that have the first object focused thereon according to the depth information and the two shift images.

Abstract: A wrinkle care support device includes: a wrinkle change detector that detects a change made in a wrinkle after occurrence of the wrinkle, the wrinkle having occurred in skin by provision of predetermined stimulation; a wrinkle care information determiner that determines, based on the detected change, user presentation information relating to wrinkle care; and an information outputter that outputs the determined user presentation information. Note that the wrinkle care support device may further include: an image obtainer that obtains an image where the skin is photographed; and a wrinkle detector that detects the wrinkle from the obtained image. The detection of the change may include a detection of a wrinkle disappearing time starting from when the predetermined stimulation is provided until the wrinkle is no longer detected.

Abstract: Image registration is described. In an embodiment an image registration system executes automatic registration of images, for example medical images. In an example, semantic information is computed for each of the images to be registered comprising information about the types of objects in the images and the certainty of that information. In an example a mapping is found to register the images which takes into account the intensities of the image elements as well as the semantic information in a manner which is weighted by the certainty of that semantic information. For example, the semantic information is computed by estimating posterior distributions for the locations of anatomical structures by using a regression forest and transforming the posterior distributions into a probability map. In an example the mapping is found as a global point of inflection of an energy function, the energy function having a term related to the semantic information.

Abstract: Described herein are systems and methods providing notifications to an application in a background state on a device such as a user device. The device may be resource constrained such as having limited memory, processor, power, or other resources for execution of applications. While in a background state, notifications from other applications may be sent to the application in the background state. To other applications, the application in the background state may appear to be operating in the foreground.

Abstract: A method for improved calibration of captured infrared data values by an IR imaging system in a thermography arrangement dependent on an infrared (IR) image depicting an observed real world scene. The IR image may be captured by a thermography arrangement including the IR imaging system, wherein infrared (IR) image is related to temperature dependent on IR calibration parameters. A predefined feature may be detected from the IR image, and the IR imaging system may be calibrated based on the predefined feature.

Abstract: A program guide in which a video layer includes a plurality of video objects including title objects, each title object having associated with it a channel and at least one time slot, the video layer being formed in response to a received video stream; and a graphics layer comprising a plurality of graphics objects including title overlay objects, each of the title overlay objects selectively imparting at least a visual de-emphasis to a respective title object in the video layer, the visual de-emphasis being imparted to title objects not being associated with a desired time slot.

Abstract: One device generates a first screen by executing some processes including a first process of rendering processing of the screen to be displayed in accordance with the information required to determine the rendered contents. On the other hand, devices except for the one device generates a second screen by executing some processes, which do not include the first process but include a second process different from the first process, of the rendering processing of the screen to be displayed in accordance with that information, and sends the second screen to the one device. Then, the one device receives the second screens generated by the respective devices except for the one device, and generates the screen to be displayed by compositing the first and second screens.

Abstract: Many devices present a cursor on a display. In order to facilitate the user's visual identification and tracking of the location of the cursor, the device may present the cursor with many visual variations, such as blinking the cursor, or selecting colors for the cursor that contrast with the background. However, these techniques may only marginally increase the visibility of the cursor in some circumstances, and/or may appear visually unappealing to the user. Presented herein are techniques for presenting a cursor on the display as a first cursor layer in a first cursor color that blends with the background color, and, under the first layer, a second cursor layer in a contrasting cursor color with respect to the first cursor color and the background. The device may also periodically remove the first layer to display the contrasting second layer and to indicate the location of the cursor to the user.

Abstract: An information processing method is described that includes obtaining a first operation that is used to select a foreground image from a first picture; determining the foreground image in the first picture based on the first operation; obtaining status information of the foreground image; obtaining a second operation that is used to place the foreground image into a second picture; determining the second picture which serves as a background based on the second operation; obtaining status information of the second picture; determining a target size occupied by the foreground image in the second picture based on the status information of the foreground image and the second picture; scaling the foreground image into the target size; and displaying the foreground image in the second picture with the target size. An electronic device is also described.

Abstract: In phase-contrast imaging, different types of image information, such as absorption image information and differential phase-contrast image information, may be obtained by a single image acquisition process and have different image properties. A frequency dependent combination of different types of image information is obtained, the combined image having improved properties over the image information and respective image information types. Accordingly, an apparatus and a method for image processing in X-ray imaging of an object is provided, including receiving first and second image information of the object of first and second image information types, respectively, where the second image information type is different from the first image information type. The first and second image information is combined to obtain combined image information of the object, where the combined image information is frequency-dependent, depending on spatial frequencies of the first and second image information, respectively.

Abstract: The invention discloses a method for adjusting a window display status, which relates to a technology for adjusting the window display status while facilitating an adjustment for the existing window display status. The method includes: receiving an instruction including an adjustment parameter and a window ID; determining an application corresponding to the window ID based on the window ID, wherein the application having a corresponding window once the application is executed; and adjusting a display status item in the application window based on the adjustment parameter. The present invention further discloses an apparatus for implementing the method as described above.

Abstract: Metabrushes for digital painting (such as 3D painting) are provided. Metabrushes may be defined by 3D paint strokes embedded on an elementary piece of geometry. Paint strokes are replicated in 3D over a user's painting gesture, allowing a fast embedding of numerous strokes using only a few user input gestures. Hierarchical metabrushes are further provided for providing faster and more diverse creation of digital paintings.

Abstract: In one embodiment, the methods and apparatuses synchronizing and tracking content receive a request corresponding to a specific content; review a record associated with the specific content in response to the request; selectively transmit a confirmation for the request based on the reviewing; and perform the request based on receiving the confirmation.

Abstract: A display device is provided that includes a transparent display unit, a setting unit that sets transparency of a first screen that is output in the foreground to the transparent display unit, and a controller that determines transparency of a background object that is seen through the transparent display unit, based on the transparency of the first screen that is set, such that the transparency of at least one of the background object and at least one region of the first screen is changed, based on a detected event that is associated with transparency control of the transparent display unit.

Abstract: A method, system and apparatus for blending overlapping images are provided. Image areas mapped to a common image space that includes a blend region: fixed image values are assigned to areas outside the blend region. Pixels from the blend region are iteratively sampled in the common image space, and for each respective sampled pixel corresponding to the sampled pixel in a respective image area: a value of the respective sampled pixel is changed to an average of neighbouring pixel values in the respective image area; and, when each respective sampled pixel in each of the at least two image spaces is changed to the average of the neighbouring pixels, each averaged respective sampled pixel value is normalize to a blended value, wherein iterations are repeated until a convergence criteria is met. One or more blend masks is output, each comprising at least normalized blended pixel values in the blend region.

Abstract: Provided is an image processing apparatus, medium, and method. The image processing apparatus may include a first calculator and a second calculator. The first calculator may calculate a first weight of a first frame depth value of a first pixel of a depth image and a second weight of a second frame depth value of the first pixel, based on an obtainment time difference between the first frame depth value of the first pixel and the second frame depth value of the first pixel among a plurality of frame depth values of the first pixel. The second calculator may determine a corrected first frame depth value of the first pixel using a linear sum that is calculated by applying the first weight to the first frame depth value of the first pixel, and by applying the second weight to the second frame depth value of the first pixel.

Abstract: Systems and techniques are disclosed for applying an effect to a digital image using a cursor. An effect can be applied to an image at a region under a cursor. The cursor has an outer periphery and an effect indicating periphery within the outer periphery. The outer periphery defines a maximum extent to which the effect is applied. The effect indicating periphery indicates how the effect will be applied to the image, such as providing a visual indication of a softness setting.

Abstract: A lighting module of a hair/fur pipeline may be used to produce lighting effects in a lighting phase for a shot and an optimization module may be used to: determine if a cache hair state file including hair parameters exists; and determine if the cache hair state file includes matching hair parameters to be used in the shot, and if so, the hair parameter values from the cache hair state file are used in the lighting phase.