Abstract: An apparatus configured for head-worn by a user, includes: a screen configured to present graphics for the user; a camera system configured to view an environment in which the user is located; and a processing unit coupled to the camera system, the processing unit configured to: obtain a first image with a first resolution, the first image having a first corner, determine a second image with a second resolution, the second image having a second corner that corresponds with the first corner in the first image, wherein the second image is based on the first image, the second resolution being less than the first resolution, detect the second corner in the second image, determine a position of the second corner in the second image, and determine a position of the first corner in the first image based at least in part on the determined position of the second corner in the second image.

Abstract: Methods, devices, and computer-readable media for generating color-neutral representations of driving objects are disclosed. In one embodiment, a method is disclosed comprising capturing an image, the image including an object of interest; identifying the object of interest in the image based on identifying one or more colors in the image; associating the object of interest with a known traffic object; identifying a color-neutral representation of the known traffic object; and displaying the color-neutral representation to a user.

Abstract: A user interface to a virtual camera for a 3-D rendering application provides various features. A rendering engine can continuously refine the image being displayed through the virtual camera, and the user interface can contain an element for indicating capture of the image as currently displayed, which causes saving of the currently displayed image. Autofocus (AF) and autoexposure (AE) reticles can allow selection of objects in a 3-D scene, from which an image will be rendered, for each of AE and AF. A focal distance can be determined by identifying a 3-D object visible at a pixel overlapped by the AF reticle, and a current viewpoint. The AF reticle can be hidden in response to a depth of field selector being set to infinite depth of field. The AF and AE reticles can be linked and unlinked, allowing different 3-D objects for each of AF and AE.

Abstract: A method of rendering an image of three-dimensional laser scan data is described. The method includes providing a range cube map and a corresponding image cube map generating a tessellation pattern using the range cube map and rendering an image based on the tessellation pattern by sampling the image cube map.

Abstract: An image processing apparatus includes: an input device to which a pre-color conversion image and a post-color conversion image are input; and a processor. The processor is configured to execute a program to extract color data in a certain region of at least one of the pre-color conversion image and the post-color conversion image, change at least one of a position and a range of the certain region in a case where the extracted color data meet a certain condition, and prepare a color conversion model using color data in the certain region after being changed.

Abstract: This disclosure relates to methods, non-transitory computer readable media, and systems that can render a virtual object in a digital image by using a source-specific-lighting-estimation-neural network to generate three-dimensional (“3D”) lighting parameters specific to a light source illuminating the digital image. To generate such source-specific-lighting parameters, for instance, the disclosed systems utilize a compact source-specific-lighting-estimation-neural network comprising both common network layers and network layers specific to different lighting parameters. In some embodiments, the disclosed systems further train such a source-specific-lighting-estimation-neural network to accurately estimate spatially varying lighting in a digital image based on comparisons of predicted environment maps from a differentiable-projection layer with ground-truth-environment maps.

Abstract: An automatic image annotation system receives a reference image with one or more parts annotated along with one or more query images and automatically identifies portions from the query images that are similar to the annotated parts of the reference image. The S-matrices of the reference image and the query images are obtained via singular value decomposition (SVD). Lower-dimensional images are also obtained for the reference image and the query images using a pre-trained deep learning model. The S-matrices and the lower-dimensional images of the corresponding images are combined to generate vector representations. A distance metric is calculated for the vector representation of the reference image with that of the query image. A preliminary output image with a preliminary annotation is initially generated. The preliminary annotation is further optimized to generate an optimized annotation that adequately covers the region of interest (ROI).

Abstract: Disclosed is a system for analyzing a display device, the system including: an image photographing device configured to photograph an image for inspection output from a display device to be inspected and obtain an RGB value for inspection from the photographed image; and an inspection control unit configured to convert the RGB value for inspection into a CIE XYZ value by using a previously prepared color conversion function, and determine defect of the display device to be inspected by using the converted CIE XYZ value.

Abstract: A method for preparing a select graphic for printing using a digital printing device includes receiving the select graphic, at least one position for printing the select graphic, and a select spot color name for the select graphic, wherein the select spot color name represents a tone printable using at least one colorant of the digital printing device; generating a select spot color separation for the select graphic using a halftone screen to produce the tone represented by the security spot name, wherein the halftone screen is selected for printing the select graphic without a discernible dot pattern upon unmagnified viewing; and preparing raster data incorporating the select spot color separation for printing the select graphic at the at least one position on the item.

Abstract: The present invention discloses a space allocation system and a method for allocating space to objects with multi-variate characteristics. In the present invention, intra-container allocation and/or inter-container allocation is performed to generate a combination in which the objects can be placed in one or more pre-defined storage spaces in a plurality of storage containers. The generated combination is further optimized for efficient space allocation to objects with multi-variate characteristics.

Abstract: Performing realtime image analysis and providing realtime feedback are disclosed. A stream comprising a plurality of arriving RAW images is received. A RAW image included in the stream is sent to a graphics processing unit (GPU). A result of the GPU is used to generate a visualization corresponding to the RAW image. The visualization is co-presented with a realtime view of a scene in a display.

Abstract: An application control device according to an embodiment of the present invention has an acquisition unit that acquires image data of a skin; a division unit that divides the image data into a plurality of segments each smaller than or equal to 200 ?m; and a calculation unit that calculates, from a value of one or a plurality of segments of the image data, an application amount of a cosmetic material to be applied to each portion of the skin.

Abstract: A debanding determination method for an image and a debanding determination circuit thereof are provided. The method includes: calculating change amounts between color components respectively corresponding to a start pixel, an end pixel, and at least one intermediate pixel in a plurality of pixels of the image; adjusting the change amounts according to weight values corresponding to the color components, and calculating a weighted total change amount according to the adjusted change amounts; calculating change counts between the color components of the start pixel, the end pixel, and the at least one intermediate pixel; and determining whether to perform debanding compensation on each of the color components of the start pixel by using the end pixel as a reference pixel.

Abstract: A method and a system for establishing a light source information prediction model are provided. A plurality of training images are captured for a target object. A white object is attached on the target object. True light source information of the training images is obtained according to a color of the white object in each of the training images. A neural network model is trained according to the training images and the true light source information, and a plurality of pieces of predicted light source information is generated according to the neural network model during the training. A learning rate for training the neural network model is adaptively adjusted based on the predicted light source information.

Abstract: Systems, methods, tangible non-transitory computer-readable media, and devices associated with object localization and generation of compressed feature representations are provided. For example, a computing system can access training data including a source feature representation and a target feature representation. An encoded target feature representation can be generated based on the target feature representation and a machine-learned encoding model. A binarized target feature representation can be generated based on the encoded target feature representation and lossless binarization operations. A reconstructed target feature representation can be generated based on the binarized target feature representation and a machine-learned decoding model. A matching score for the source feature representation and the reconstructed target feature representation can be determined. A loss associated with the matching score can be determined.

Abstract: In one embodiment, a method includes detecting objects in an image. The method includes accessing a mask for each object. The method includes receiving an input in relation to the image. The input corresponds to an input region and an input type. The method includes identifying a region of the image corresponding to the input region of the input. The identified region of the image includes one or more of the masks. The method includes providing feedback regarding the one or objects in the identified region of the image based on the input type.

Abstract: An apparatus for customizing camera parameters is provided. The apparatus includes: an image signal processor; and a processor configured to execute instructions to: generate a first edited image based on a first original image, the first original image including first original image data and first metadata indicating a first pattern of processed RGB colors; identify a first mapping function by analyzing the first pattern with respect to a fixed pattern of unprocessed-RGB color space samples; generate first unprocessed image data based on the first mapping function and the first original image; identify image signal processor adjustment parameters based on the first unprocessed image data and the first edited image; and image signal processor parameters of the image signal processor based on the image signal processor adjustment parameters.

Abstract: In one aspect, a method includes receiving first query fingerprint data representing first content channeled through a portion of a content-distribution system. The method also includes detecting a first match between the received first query fingerprint data and first reference fingerprint data representing a modifiable content-segment. The method also includes responsive to detecting the first match, performing a first action. The method also includes receiving second query fingerprint data representing content received by a content-presentation device. The method also includes detecting a second match between the received second query fingerprint data and second reference fingerprint data representing second content transmitted by the content-distribution system, where the second content is a modified version of the first content. The method also includes responsive to detecting the second match, performing a second action that is different from the first action.

Abstract: A photo design smart assistant system for reducing similar photos for display and product design includes a similarity distance computation module that can calculate hash values of images and to calculate similarity distances between the images using at least the hash values, a burst grouping module that can automatically group the images into a burst based at least in part on the similarity distances of the images, wherein at least one image is automatically selected from the burst of images, an intelligent design creation engine that can automatically create a photo product design using the selected image from the burst, and a printing and finishing facility that can automatically make a physical photo product based on the photo product design.

Abstract: Systems and methods provided for presenting supplemental content in an augmented reality environment where an object within a field of view of an augmented reality device of a user is identified and processed to detect a reference related to a participant in an event. A user profile or user social network is searched to identify a message from the user about the participant. The message may be combined with the object in the augmented reality field of view.

Abstract: A method for mapping a low-dynamic range (LDR) video into a high-dynamic range (HDR) video and a device therefor are provided. The method includes a modeling process, and a mapping process. The modeling process includes training according to LDR videos of at least three different exposure levels to obtain a highlight reconstruction model and an exposure generation model, and the mapping process includes mapping an LDR video to be processed into an HDR video through the highlight reconstruction model and the exposure generation model. Accordingly, solutions to the problems of a multi-exposure synthetic image being too dark or too light is provided, and jitter in video synthesis, are provided.

Abstract: A method for parallelized processing of elements of a first vector R using processors 1 through k includes steps of a) loading a first non-loaded element of the first vector R into processor 1; (b) loading the next non-loaded element of the first vector R in processor 1; (c) parallel processing of loaded elements by the processors; (d) transmitting the loaded elements of the first vector R from processors 1 through k?1 to the respectively next processor 2 through k; (e) loading the next non-loaded element of the first vector R in processor 1; and (f) returning to step c if not all elements of the first vector R were loaded and processed.

Abstract: The disclosed techniques include at least one computer-implemented method performed by a system. The system can receive a textual query and process query features of the textual query to identify a color profile indicative of a color intent of the query. The system can identify candidate images that at least partially match the desired content and color intent of the query. The system can further order candidate images based in part on a similarity of a candidate color profile for each candidate image with the identified color profile of the query, and output image data indicative of the ordered set of candidate images.

Abstract: A method for down-up sampling of image sensor data includes the steps of down sampling green pixels in a super Bayer pattern of image sensor data, where a decimation factor of the downsampling corresponds to a size of a color cluster in the super Bayer pattern, where two green pixels that are those closest to a non-green pixel cluster remain in each green cluster after downsampling, and wherein each non-green pixel cluster is bordered by four downsampled green pixels, and up sampling non-green color pixels in a non-green cluster from the remaining green pixels that are closest to the non-green cluster by a bilinear interpolation of each non-green pixel with respect to the closest remaining green pixels, where the up sampling of the non-green color pixels is guided by a compressed array that corresponds to the image sensor data.

Abstract: An image processing apparatus includes a first signal processing circuit that receives image signals from an image sensor and a second signal processing circuit that performs image processing on image signals output from the first signal processing circuit. The first signal processing circuit includes an evaluation circuit that determines evaluation values for image signals, a control circuit that controls an order according to which the image signals are output to the second signal processing circuit, based on the evaluation values, and a selection circuit that selects an image signal for a single frame from among the image signals for a predetermined plural number of frames, based on the evaluation values.

Abstract: To enable a good HDR image or video coding technology, being able to yield high dynamic range images as well as low dynamic range images, we invented a method of encoding a high dynamic range image (M_HDR), comprising the steps of: converting the high dynamic range image to an image of lower luminance dynamic range (LDR_o) by applying a) scaling the high dynamic range image to a predetermined scale of the luma axis such as [0,1], b) applying a sensitivity tone mapping which changes the brightnesses of pixel colors falling within at least a subrange comprising the darker colors in the high dynamic range image, c) applying a gamma function, and d) applying an arbitrary monotonically increasing function mapping the lumas resulting from performing the steps b and c to output lumas of the lower dynamic range image (LDR_o); and outputting in an image signal (S_im) a codification of the pixel colors of the lower luminance dynamic range image (LDR_o), and outputting in the image signal (S_im) values encoding the f

Abstract: An electronic device may include a display panel with pixels that present an image based on image data and an application processor that generates the image data. The electronic device may include a display pipeline coupled to the electronic display and the application processor. The display pipeline may receive first image data from the application processor corresponding to a first color space used by the application processor. The display pipeline may apply a color mapping relationship to the first image data to generate second image data. The color mapping relationship may define a transform to apply to the first image data to generate the second image data corresponding to a second color space used by the electronic display. The display pipeline may transmit the second image data to a display driver that operates the electronic display to emit light according to the second image data.

Abstract: For at least one component of a digitized image, if a magnitude of a difference between a pixel component value and a representative image-cell-value is less than a threshold for each pixel of a subset of pixels of an image cell of a digitized image, the corresponding pixel component values of corresponding pixels of a corresponding processed image cell are set to the representative image-cell-value. Otherwise, at least the most significant portion of the corresponding pixel component values of the corresponding pixels of the corresponding processed image cell are set to the value of pixel component values of the digitized image.

Abstract: A hitch assist system is provided herein. The system includes an imager for capturing images of a rear-vehicle scene containing a trailer and a controller for processing the captured images. A device is disposed at a trailer location and has a display configured to flash a shape at a predetermined frequency and alternating in color. The controller identifies the shape in the captured images to determine the trailer location.

Abstract: An interactive cognitive platform is provided that uses image-based interactivities for diagnosis, treatment, and to analyze the progress (for disease and/or treatment) of cognitive diseases via a graphical user interface. The interactivities engage multiple cognitive domains and involve Gestalt principles—aspects which can be personalized to be more effective for each user. The cognitive platform can be used by healthcare workers to produce diagnostics or treatment plans for specific cognitive conditions and diseases with a cognitive component. The cognitive platform can be used for gaming, stress reduction and skills development and performance enhancement for those without cognitive problems.

Abstract: System and method for encryption currency counter measure and deterrence against counterfeiting. The system tracks the FSN for each FRN, from the time a serial number is assigned to a new bill, until the time the bill is retired from circulation.

Abstract: The present invention provides a display apparatus that improves the uniformity of luminance among a plurality of pixels and improves chromaticity by recalibrating artifacts of a display image recognized by a visual sensation even after calibration is performed, and a method of controlling the same. The display apparatus may include a display panel; a communication circuitry configured to receive an initial calibration coefficient value of a first pixel and at least one second pixel except for the first pixel of the display panel; and a controller configured to compare luminance of the first pixel and the second pixel based on the initial calibration coefficient value, to modify the initial calibration coefficient value based on the comparison result, and to control the display panel based on the modified calibration coefficient value.

Abstract: A transmission method in the present disclosure includes; obtaining an image and image signal characteristics information indicating one of an opto-electrical transfer function (OETF) or an electro-optical transfer function (EOTF) as image signal characteristics of the image; and transmitting a signal including the image and the image signal characteristics information. According to the transmission method in the present disclosure, a receiving device that received a high dynamic range (HDR) image and a standard dynamic range (SDR) image transmitted through broadcasting or the like can display these images appropriately.

Abstract: To appropriately evaluate skin spots by grasping a quality (characteristic) of the skin spots. A skin spot evaluation apparatus includes an area extracting unit that extracts skin spot areas corresponding to skin spots from a skin image obtained by photographing a skin of a subject; and an evaluation unit that analyzes, based on the skin spot areas extracted by the area extracting unit, at least one of the number of the skin spots, dimension of each of the skin spots and density of each of the skin spots, and generates data obtained by quantifying characteristic of the skin spots of the skin image using the analyzed result.

Abstract: An augmented reality system for makeup, includes a makeup objective unit including computation circuitry operably coupled to a graphical user interface configured to generate one or more instances of user selectable makeup objectives and to receive user-selected makeup objective information, a makeup palette unit operably coupled to the makeup objective unit, the makeup palette unit including computation circuitry configured to generate at least one digital makeup palette for a digital makeup product in accordance with the user-selected makeup objective information, and a makeup objective visualization unit including computation circuitry configured to generate one or more instances of a virtual try-on in accordance with the user-selected makeup objective information.

Abstract: Example tracking measures for a first functionality category may be used to generate a modified tracking measure if it is determined that the first functionality category is unsupported by an automated functionality tracking component. The modified tracking measure may be transmitted for categorization in a second functionality category, wherein the second functionality category is different from the first functionality category.

Abstract: Techniques are shown for generating image frames from a media presentation. In one embodiment a computer implemented method is provided. The method includes identifying, by a processing device, image frames from a media presentation comprising a plurality of image frames. Candidate thumbnails are selected from the identified image frames. A probability is determined that a selected candidate thumbnail with a success ranking higher than other selected thumbnails is an optimum candidate thumbnail for representing the media presentation in view of a relationship between the success ranking of the selected candidate thumbnail and the success rankings of the other selected candidate thumbnails. Thereupon, data for displaying the selected candidate thumbnail to a user as a representative of the media presentation is provided by the processing device.

Abstract: An automated content annotation workflow is disclosed. An example embodiment is configured for: registering a plurality of labelers to which annotation tasks are assigned; populating a labeling queue with content data to be annotated; assigning annotation tasks from the labeling queue to the plurality of labelers; enabling the plurality of labelers in an annotation review queue to modify or delete annotations applied by prior labelers; and evaluating a level of performance of the plurality of labelers in applying the annotations.

Abstract: The present invention relates to an end-to-end photography model for setting the light and exposure in a digital photography device with an external lighting system. The present disclosure is for a system and a method for automatically setting one or more image parameters for improved photography and image aesthetics. Specifically, the present invention is for automatically setting light and exposure which can be implemented on a personal electronic device with an integrated image capturing device having integrated and/or external illumination system. The embodiments described herein in general relate to a system and method for analyzing and controlling image parameters to set precise light and exposure for the electronic image capturing device, particularly for a personal electronic device, such as smartphone and tablet, with an integrated image capturing device.

Abstract: Provided is an information processing device connected to a device that executes a process in accordance with a function selected by a user among a plurality of functions, the information processing device includes a setter that sets a first function and a second function from the plurality of functions and a restrictor that restricts the first function, and the restrictor releases the restriction on the first function if the user selects the second function.

Abstract: The present disclosure provides a method, an electronic device, and a medium for image fusion. The method includes calculating a fusion coefficient image M based on a first frame image I1 or based on both the first frame image I1 and a second frame image I2; calculating a first gradient D1 of the first frame image I1 and a second gradient D2 of the second frame image I2; calculating a preliminary fusion result J based on the image M, the first gradient D1 and the second gradient D2; and obtaining an output image I3 based on the image M, the first gradient D1, the second gradient D2 and the preliminary fusion result J, wherein brightness of the first frame image I1 is greater than brightness of the second frame image I2, and wherein the image M is used to mark fusion weights of pixels in the first frame image I1.

Abstract: Disclosed is an image processing method and apparatus. The image processing method includes receiving an image including frames captured over time in a light environment including an alternating current (AC) light, extracting AC pixels corresponding to the AC light from pixels in the image, estimating visual spaces of the AC pixels based on values of the AC pixels in the frames, estimating information of the AC light included in the image based on the visual spaces, and processing the image based on the information of the AC light.

Abstract: A computer-implemented method of calibrating a camera includes: a. making a video screen display a calibration pattern; b. acquiring from the camera a video stream of a scene comprising said calibration pattern; c. determining a modified calibration pattern depending on the acquired video stream, and making the screen display it; said steps a. to c. being iterated a plurality of times; and then d. estimating intrinsic calibration parameters of the camera by processing the acquired video streams. A computer program product, computer-readable data-storage medium and computer system for carrying out such a method.

Abstract: The present disclosure provides a face identification method and a terminal device using the same. The method includes: obtaining a to-be-detected image; performing a brightness enhancement process on the to-be-detected image based on a preset second calculation method to generate a to-be-identified face image; obtaining a first channel value of each channel corresponding to each pixel in the to-be-identified face image; performing another brightness enhancement process on the to-be-identified face image based on each first channel value and a preset first calculation method to obtain a target to-be-identified face image; and performing a face identification process on the target to-be-identified face image to obtain an identification result. Through the above-mentioned scheme, an enhanced face identification manner for the images of low brightness is provided.

Abstract: An image processing apparatus comprises a reading unit configured to read an image of an original; a correction unit configured to correct, based on variance values acquired for a pixel, the pixel in a region where a show-through has occurred, in the image read by the reading unit; a designation unit configured to designate a chromatic color; and a conversion unit configured to convert a pixel included in an image including the pixel corrected by the correction unit into one of a chromatic color and an achromatic color designated by the designation unit.

Abstract: An information processing apparatus according to one embodiment includes a processing circuit. The processing circuit calculates a first presence probability of an object present around a moving body with positional information measured by each of a plurality of sensors having different characteristics, acquires non-measurement information indicating that the positional information on the object has not been obtained for each of the sensors, and determines a second presence probability of the object based on the first presence probability and the non-measurement information.

Abstract: A method of multiple-exposure multiple-frame image capture, comprising, capturing a first group of frames at an underexposed setting, selecting a first key frame from the first group of frames, aligning the first group of frames to the first key frame, merging the first group of frames into one first frame, capturing a second group of frames at the underexposed setting, selecting a second key frame from the second group of frames, aligning the second group of frames to the second key frame, merging the second group of frames into one second frame, selecting a main group of frames based on the first key frame and the second key frame, aligning the first key frame and the second key frame based on the main group of frames and merging the first key frame and the second key frame based on the main group of frames.

Abstract: A process for determining a tooth color of a filling or another restoration is provided which in particular is produced using composite materials, wherein at least one tooth is scanned or is visually detected. The process is characterized in that natural teeth are spectrally measured in advance, that the color values measured within a color space are classified into several, in particular four, categories which each form a color cloud extending in a three-dimensional fashion within the color space, which is done with the help of a structuring algorithm, in particular a Nearest Neighbour Algorithm, or a symmetry recognition algorithm, and that the tooth color of the filling is determined by means of evaluating to which category the tooth scanned has the smallest color distance, or to which color cloud the tooth scanned belongs.

Abstract: A method for scoring attractiveness of a real estate property including receiving an image from a subject real estate property; converting the image to RGB data; and identifying an attractiveness score from the RGB data. A real estate property attractiveness scoring application including an image processor to receive an image from a subject real estate property and convert the image to RGB data; a database of RGB data and an attractiveness score for the RGB data; and an artificial intelligence engine in communication with the image processor and the database to identify an attractiveness score in the database from the RGB data from the image processor.

Abstract: An information processing apparatus which accepts designation of a first image category from among a plurality of image categories including a visible light image, an infrared light image, and a composite image, accepts designation of a second image category different from the first image category from among the plurality of image categories, displays an image of the accepted first image category in a display region of a display unit, and accepts designation of a region in the image of the first image category displayed in the display region, wherein an image of the accepted second image category is displayed in the accepted region.