Abstract: According to one embodiment, an information processing device includes a memory and a processor. The processor is configured to acquire an image, determine a likelihood of presence of an objected within the image, display information on a position of the object within the image based on the likelihood, identify the object within the image, and generate a recognition result based on the identified object.

Abstract: A facial skin mask may be generated based on isolating a head part in a captured image, removing a first pixel that is indicative of non-skin from the head part in the captured image, and removing a second pixel that is indicative of having a high velocity from the head part in the captured image. Heart rate may be detected based on the change of color of the pixels of the generated facial skin mask.

Abstract: Systems and methods of producing medical images of a subject are disclosed herein. In one embodiment, structural data and vascular data are acquired from a region of interest in the subject. A filter is generated using structural image data acquired from a second layer and blood flow image data received from a first layer in the region of interest. The filter is applied to vascular image data acquired from a second, deeper layer in the region of interest to form an image of the second layer having reduced tailing artifacts relative to the unfiltered vascular image data.

Abstract: Systems and methods for robust biometric applications using a detailed eye shape model are described. In one aspect, after receiving an eye image of an eye (e.g., from an eye-tracking camera on an augmented reality display device), an eye shape (e.g., upper or lower eyelids, an iris, or a pupil) of the eye in the eye image is calculated using cascaded shape regression methods. Eye features related to the estimated eye shape can then be determined and used in biometric applications, such as gaze estimation or biometric identification or authentication.

Abstract: A system and methods for muddy water detection using normalized semantic layers, wherein a spectrum analyzer isolates spectrum bands within an image to produce a set of three normalized differential index images from which a composite color image is created, from which a power band is computed, from which a two-color image is produced, and then filters image components within the two-color representation based on defined criteria.

Abstract: Comparing extracted card data from a continuous scan comprises receiving, by one or more computing devices, a digital scan of a card; obtaining a plurality of images of the card from the digital scan of the physical card; performing an optical character recognition algorithm on each of the plurality of images; comparing results of the application of the optical character recognition algorithm for each of the plurality of images; determining if a configured threshold of the results for each of the plurality of images match each other; and verifying the results when the results for each of the plurality of images match each other. Threshold confidence level for the extracted card data can be employed to determine the accuracy of the extraction. Data is further extracted from blended images and three-dimensional models of the card. Embossed text and holograms in the images may be used to prevent fraud.

Abstract: A system, article, and method of image segmentation refinement for image processing.

Abstract: In an image processing system a processor is configured to perform an image processing method. The method performs receiving a spectral image of a person's skin and identifying the person based on the received spectral image of the person's skin and skin reflectance information.

Abstract: Techniques are provided for segmentation of objects in a 3D image of a scene. An example method may include receiving, 3D image frames of a scene. Each of the frames is associated with a pose of a depth camera that generated the 3D image frames. The method may also include detecting the objects in each of the frames based on object recognition; associating a label with the detected object; calculating a 2D bounding box around the object; and calculating a 3D location of the center of the bounding box. The method may further include matching the detected object to an existing object boundary set, created from a previously received image frame, based on the label and the location of the center of the bounding box, or, if the match fails, creating a new object boundary set associated with the detected object.

Abstract: Methods and apparatus for inspection of electronic parts such as semiconductor wafers, high-density circuit boards, multi-layer substrates, chrome on glass masks, and other fine line products which compensates for reference misalignment. Conductor linewidth and space measurements are performed along the entire length of every conductor to sub-camera pixel, sub-micron accuracy in real time as the part is scanned. Billions of metrology measurements are also performed in real time to sub-micron accuracy. A self-learning automated method to extract measurement values from Computer Aided Design (CAD) files is described. This method automatically determines locations to perform these billons of operations within defined allowed manufacturing tolerances.

Abstract: A generative adversarial network (GAN) system includes a generator neural sub-network configured to receive one or more images depicting one or more objects. The generator neural sub-network also is configured to generate a foreground image and a background image based on the one or more images that are received, the generator neural sub-network configured to combine the foreground image with the background image to form a consolidated image. The GAN system also includes a discriminator neural sub-network configured to examine the consolidated image and determine whether the consolidated image depicts at least one of the objects. The generator neural sub-network is configured to one or more of provide the consolidated image or generate an additional image as a training image used to train another neural network to automatically identify the one or more objects in one or more other images.

Abstract: A surround view system for a machine is provided. The surround view system includes a plurality of image capturing devices generating image data of surroundings of the machine, and an object detection system for detecting an object in a target field of view of the machine and generating object position data corresponding to the object. The surround view system also includes an image processing system configured to generate an initial 3-dimensional composite surround view by projecting the image data on a virtual model corresponding to the machine. The virtual model has a 3-dimensional shape based on an initial calibration position data. The image processing system is also configured to modify the 3-dimensional shape of the virtual model based on the object position data, and generate an updated 3-dimensional composite surround view by projecting the image data on the virtual model having a modified 3-dimensional shape.

Abstract: Embodiments described herein provide various examples of a joint face-detection and head-pose-angle-estimation system based on using a small-scale hardware CNN module such as the built-in CNN module in HiSilicon Hi3519 system-on-chip. In some embodiments, the disclosed joint face-detection and head-pose-angle-estimation system is configured to jointly perform multiple tasks of detecting most or all faces in a sequence of video frames, generating pose-angle estimations for the detected faces, tracking detected faces of a same person across the sequence of video frames, and generating “best-pose” estimation for the person being tracked. The disclosed joint face-detection and pose-angle-estimation system can be implemented on resource-limited embedded systems such as smart camera systems that are only integrated with one or more small-scale CNN modules.

Abstract: The invention comprises a depth-image generator which, based on shape information representing a shape of an object in the captured images of the cameras, generates depth images corresponding to the captured images obtained from a plurality of cameras; a detector which, based on a generated depth image, detects a boundary region of the object in a corresponding captured image; a pixel map generator which, based on the boundary region in the captured image detected by the detector, generates a pixel map representing a contributing ratio for generating the virtual-viewpoint image for each pixel position of the captured image; and an output-image generator which generates the virtual-viewpoint image based on the captured images obtained from the plurality of cameras, and the pixel map corresponding to the captured images.

Abstract: An image processing apparatus comprises processing circuitry. The processing circuitry is configured to acquire a first image in which each pixel is expressed with a first gradation. And the processing circuitry is configured to specify a partial region in the first image. And the processing circuitry is configured to convert, based on correspondence information that associates each level of the first gradation with a display pattern of a plurality of pixels in a display, the level in the first gradation of each pixel included in the partial region in the first image into the corresponding display pattern, the display displaying the display pattern with a second gradation having fewer levels than the first gradation. And the processing circuitry is configured to generate a second image that expresses a plurality of pixels included in the partial region of the first image as the converted display patterns.

Abstract: A method for providing real time service of huge and high quality digital image on internet is disclosed, wherein data relevant to a general life such as a general photo, an advertising leaflet, and a pamphlet and professional image data exhibited in an art gallery, exhibition grounds, a pavilion are made into huge and high quality digital image or scanned and photographed to be digital, thereby processing real time service as an interactive browsing form. In the present invention, data are directly made, edited, constructed, and uploaded on internet, thereby providing various additional information with image through hyperlink and processing high quality digital image service on network without speed delay for huge image.

Abstract: An apparatus for image correction is configured to execute a second image generation process that includes execution of a process for emphasizing a contrast for a first image to generate a second image, execute a ratio calculation process that includes calculation, based on a relation between a frequency distribution of at least one of a luminance value, an edge strength and a color component in the first image or the second image and a value of the at least one for each pixel, of a synthesis ratio of the first image to the second image for the pixel, and execute a synthesis process that includes synthesis of the first image and the second image based on the synthesis ratio for each pixel.

Abstract: An optical imaging system with a variable light field for a biometrics application includes: a central processing unit (CPU); a display, which is electrically connected to the CPU, displays information to a user or interacts with the user, and provides a digital light signal to an object placed upon the display, the object covers a cover region of the display, and the cover region has at least an outer region and an inner region from outside to inside; and an optical imaging device electrically connected to the CPU and disposed in or under the display, the optical imaging device receives a digital light signal reflected from the object and obtains an optical image of biometrics characteristics of the object to obtain an image sensing signal. The digital light signal has the variable light field varying from the outer region to the inner region.

Abstract: As set forth herein low energy signal data and high energy signal data can be acquired. A first material decomposed (MD) image of a first material basis and a second material decomposed (MD) image of a second material basis can be obtained using the low energy signal data and the high energy signal data. At least one of the first or second MD image can be input into a guide filter for output of at least one noise reduced and cross-contamination reduced image. A computed tomography (CT) imaging system can be provided that includes an X-ray source and a detector having a plurality of detector elements that detect X-ray beams emitted from the X-ray source. Low energy signal data and high energy signal data can be acquired using the detector.

Abstract: An information processing apparatus having a compression unit configured to compress image data and to store compressed image data in a storage unit, a determination unit configured to determine a compression method on a basis of a data size of the compressed image data stored in the storage unit, a decompression unit configured to decompress the compressed image data stored in the storage unit, and a transmission unit configured to transmit image data decompressed by the decompression unit and information on the determined compression method to an image forming apparatus.