Abstract: Systems and methods are disclosed for denoising chrominance channels of images. For example, methods may include receiving an image from one or more image sensors; determining a set of weights for the image based on a luminance channel of the image, wherein a weight in the set of weights corresponds to a subject pixel and a candidate pixel and is determined based on luminance values of one or more pixels of the image centered at the subject pixel and one or more pixels of the image centered at the candidate pixel; applying the set of weights to chrominance channels of the image to obtain a denoised image, wherein the subject pixel of the denoised image is determined based on the weight multiplied by the candidate pixel of the image; and storing, displaying, or transmitting an output image based on the denoised image.

Abstract: An acoustic biometric touch scanner device and method is disclosed. In one aspect, an acoustic fingerprint sensing device includes an array of ultrasonic transducers configured to transmit an ultrasound signal having a frequency in a range from 50 megahertz (MHz) to 500 MHz. The acoustic fingerprint ultrasonic transducers include a piezoelectric film. The acoustic fingerprint sensing device further includes a receiving surface configured to receive a finger. The acoustic fingerprint sensing device further includes a processor configured to generate an image of at least a portion of a fingerprint of the finger based on a reflection of the ultrasound signal from the finger.

Abstract: A passive flash system for illuminating images being captured on a user device while maintaining preview of the content being captured. The passive flash system can display a portion of a screen in as an elevated brightness element that is brighter than the content being captured. The elevated brightness element can surround or overlap the content being captured to passively increase the lighting of the imaged environment.

Abstract: A mechanism is described for facilitating depth and motion estimation in machine learning environments, according to one embodiment. A method of embodiments, as described herein, includes receiving a frame associated with a scene captured by one or more cameras of a computing device; processing the frame using a deep recurrent neural network architecture, wherein processing includes simultaneously predicating values associated with multiple loss functions corresponding to the frame; and estimating depth and motion based the predicted values.

Abstract: A machine learning scheme can be trained on a set of labeled training images of a subject in different poses, with different textures, and with different background environments. The label or marker data of the subject may be stored as metadata to a 3D model of the subject or rendered images of the subject. The machine learning scheme may be implemented as a supervised learning scheme that can automatically identify the labeled data to create a classification model. The classification model can classify a depicted subject in many different environments and arrangements (e.g., poses).

Abstract: A determination system includes an imaging data acquisition device that captures an image of a printed surface of a printed product to acquire imaging data of the captured image, and a determination device that determines, based on the imaging data, a printing method used to produce the printed surface of the printed product for which the image is captured by the imaging data acquisition device. The determination device selects a plurality of determination areas included in the captured image, acquires determination data based on a line-segment image included in each of the determination areas, compares the acquired determination data between two determination areas, and acquires, based on a result of the comparison, a determination value for determining a printing method used to produce the printed surface of the printed product, and determines, based on the determination value, a printing method used to produce the printed surface of the printed product.

Abstract: A method for recognizing persons in video streams includes obtaining a live video stream, detecting a first person in the live video stream, determining from analysis of the live video stream first information that identifies an attribute of the first person, determining based on at least some of the first information that the first person is not identifiable to the computing system, storing at least some of the first information, receiving a user classification of the first person as being a stranger, and deleting the stored first information.

Abstract: A dark circle detection and evaluation method includes: obtaining a to-be-processed image; extracting a dark circle region of interest from the to-be-processed image; performing color clustering on the dark circle region of interest to obtain n types of colors in the dark circle region of interest, where n is a positive integer; recognizing a dark circle region in the dark circle region of interest based on the n types of colors; and obtaining a dark circle evaluation result based on the dark circle region.

Abstract: An authentication method includes receiving, at a processor, a signal representing an image of a serialization code and multiple flecks of a label, the flecks having a random distribution. The processor detects the serialization code and applies a modification to the image to produce a modified image. A subset of flecks of the modified image is detected, and metrics associated with each fleck from the subset of flecks are identified. The identified metrics are compared with metrics associated with a unique signature, and a message is displayed, via a user interface, indicating an authenticity of the label based on the comparison.

Abstract: An appearance inspection system is equipped with illumination devices that irradiate light, and retaining tools that retain an object to be inspected. Light receiving devices are disposed at locations (irradiated locations) which are on the retaining tools and are irradiated with the light emitted by the illumination devices. A determination unit of the appearance inspection system determines that an “inspection condition is not satisfied” when a measured value of a luminance measured with the light receiving devices is less than or equal to a preset reference value. Grayscale charts may be provided instead of the light receiving devices.

Abstract: This disclosure describes a device and system for verifying the content of items in a bin within a materials handling facility. In some implementations, a bin content verification apparatus may pass by one or more bins and capture images of those bins. The images may be processed to determine whether the content included in the bins has changed since the last time images of the bins were captured. A determination may also be made as to whether a change to the bin content was expected and, if so, if the determined change corresponds with the expected change.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for tracking moving objects depicted in multiple images. One of the methods includes determining, for an image captured by a camera, a first bounding box that represents a first moving object depicted in the image, determining that the first bounding box and a second bounding box overlap in an overlap area, determining that the first moving object represented by the first bounding box was farther from the camera that captured the image than a second moving object represented by the second bounding box, generating a mask for the first bounding box based on the overlap area, and determining, using data from the image that is associated with the mask, that the first moving object matches an appearance of another moving object depicted in another image captured by the camera.

Abstract: An RGB-D fusion information-based obstacle target classification method includes: collecting an original image through a binocular camera within a target range, and acquiring a disparity map of the original image; collecting a color-calibrated RGB image through a reference camera of the binocular camera within the target range; acquiring an obstacle target through disparity clustering in accordance with the disparity map and the color-calibrated RGB image, and acquiring a target disparity map and a target RGB image of the obstacle target; calculating depth information about the obstacle target in accordance with the target disparity map; and acquiring a classification result of the obstacle target through RGB-D channel information fusion in accordance with the depth information and the target RGB image.

Abstract: A visual aid provides utility to its users by performing geometric transformations of raw images from a digital camera into processed images for electronic display, via three nested levels of “implementation” namely, the nature of the mapping that will be applied, i.e. specifying a specific mapping or parameterized family of mappings; the algorithm set used to effect the select mapping, independent of the processor upon which it executes; and the method for realizing this algorithm on that processor. Likewise offered for consideration are software feature sets tied to user interface which enable dynamic tuning of the subject visual context and environments for low vision users, inter alia.

Abstract: Images depicting items in a waste flow on a conveyor belt are provided to two analysis systems. The first system processes images to decode digital watermark payload data found on certain of the items (e.g., plastic containers). This payload data is used to look up corresponding attribute metadata for the items in a database, such as the type of plastic in each item, and whether the item was used as a food container or not. The second analysis system can be a spectroscopy system that determines the type of plastic in each item by its absorption characteristics. When the two systems conflict in identifying the plastic type, a sorting logic processor applies a rule set to arbitrate the conflict and determine which plastic type is most likely. The item is then sorted into one of several different bins depending on a combination of the final plastic identification, and whether the item was used as a food container or not. A variety of other features and arrangements are also detailed.

Abstract: An electronic data processor is configured to estimate a spatial region of interest of plant pixels of one or more target plants in the obtained image data for a harvestable plant component and its associated harvestable plant component pixels of the harvestable plant component. The electronic data processor is configured to identify the component pixels of a harvestable plant component within the obtained image data of plant pixels of the one or more target plants. An edge, boundary or outline of the component pixels is determined. The data processor is configured to detect a size of the harvestable plant component based on the determined edge, boundary or outline of the identified component pixels. A user interface is configured to provide the detected size of the harvestable plant component for the one or more target plants as an indicator of yield of the one or more plants or standing crop in the field.

Abstract: The present application discloses a mura detecting method, device and readable storage medium. The method includes obtaining an area of a target test image obtained from an original image signal where mura exists to serve as a target test area; processing the target test area to obtain a grayscale distribution; obtaining a brightness gradient distribution based on the grayscale distribution; calculating a SEMU value based on the brightness gradient distribution; and obtaining a location corresponding to the mura area based on the SEMU value. It realizes objective measurement and evaluation of halo phenomenon.

Abstract: Using various embodiments, systems, methods and techniques to determine whether a surface of the multidimensional object is projected on a camera on a viewport space displayed on a graphical user interface. This includes projecting a first vector normal to a surface of the multidimensional object, where the multidimensional object is rendered in an electronically generated multidimensional environment, projecting a second vector from the camera to the surface of the multidimensional object, determining an angle between the first vector and the second vector, and based on the angle determining whether the surface is projected on the viewport space.

Abstract: A search system searches a storage where one electronic document or a plurality of electronic documents is/are stored for an electronic document that satisfies an entered search condition. The search system includes a first processor and a second processor. The first processor manages a feature relating to a color shade of the electronic document as an index of the electronic document and retrieves the electronic document that satisfies the search condition from the storage based on the index. The second processor has an electronic document printed. Managing a feature relating to a color shade of the electronic document as an index of the electronic document includes registering the feature relating to the color shade of the electronic document obtained by analyzing the electronic document as the index of the electronic document and updating, when the electronic document is printed, the index of the electronic document.

Abstract: Disclosed are apparatuses, systems, and techniques to render images depicting light interacting with media that have volume attenuation, using optimized spectral rendering that emulates rendering of the media in tristimulus color rendering schemes.