Abstract: The invention relates to a method of neighbor influence compensation between a plurality of objects in at least one digital image, wherein the at least one digital image contains image information about a plurality of objects. Each of the plurality of objects is configured to receive at least one molecule comprising genetic information, wherein the at least one molecule is configured to receive a fluorescent compound, and the at least one digital image is taken by an optical imaging system during emission of electromagnetic radiation of the fluorescent compounds received by the at least one molecules.

Abstract: A diet management apparatus. The apparatus includes a weighing unit including weighing scales and food trays which includes one or more slots to receive corresponding food substances. The weighing scales are configured to calculate weight of food substances corresponding to each slot. The apparatus includes an image acquisition device to capture images of the one or more food substances the one or more slots. The apparatus includes a control unit configured to analyse the captured images to identify a category of each of the one or more food substances, comparing the calculated weight corresponding to identified category of each food substances with a predefined weight and determine calorie count GI/GL count of each food substances based on a compared result. The apparatus includes audio alerts based on food caloric values; GI/GL recommended by health care provider. The apparatus is configured to communicate with the end user computing device.

Abstract: An encoder according to one aspect of the present disclosure encodes a block of an image, and includes a processor and memory connected to the processor. Using the memory, the processor partitions a block into a plurality of sub blocks and encodes a sub block included in the plurality of sub blocks in an encoding process including at least a transform process or a prediction process. The block is partitioned using a multiple partition including at least three odd-numbered child nodes and each of a width and a height of each of the plurality of sub blocks is a power of two.

Abstract: A method of color-matching a body part, such as a nipple of a human breast, to a lip product, such as a lipstick, comprises receiving an image of the body part, determining a color of the body part, and choosing a color of the lip product (e.g., the lipstick) that corresponds to the color of the body part (e.g., the nipple).

Abstract: An imaging system and method for microbial growth detection, counting or identification. One colony may be contrasted in an image that is not optimal for another type of colony. The system and method provides contrast from all available material through space (spatial differences), time (differences appearing over time for a given capture condition) and color space transformation using image input information over time to assess whether microbial growth has occurred for a given sample.

Abstract: A tactile sensation providing method and device. The tactile sensation providing method includes: generating a first tactile sensation based on information of a contour attribute of a visual object; generating a second tactile sensation based on information of a texture attribute of the visual object; and generating a third tactile sensation based on information of a roughness attribute of the visual object.

Abstract: The present disclosure discloses a method for identifying a boundary of a sedimentary facies, a computer device and a computer readable storage medium. The method comprises: acquiring a preliminary marked result of the sedimentary facies in a seismic attribute map; acquiring a color-based K-means classification result of the seismic attribute map by using a maximal between-cluster variance and a K-means clustering; acquiring a super-pixel classification result of the seismic attribute map according to a SLIC super-pixel segmentation; and performing a region growing fusion on the super-pixel classification result by taking the preliminary marked result and the K-means classification result as constraints, to determine an identification result of the boundary of the sedimentary facies in the seismic attribute map.

Abstract: A method of detecting and quantifying blur in a digital image, making use of a computer and comprising: a step a) of obtaining a digital image comprising pixels; a step b) of obtaining a brightness parameter for each pixel, said step b) comprising a convolution operation with an edge detection matrix; a step c) of calculating a score S1 comprising the maximum, calculated over all the pixels, of the brightness parameter obtained in step b) and a second score S2 comprising a logistic function, and a step d) of evaluating the digital image, said digital image being considered to be blurry if the score S1 obtained in step c) is strictly less than a first predetermined threshold S10, the score S1 providing a first quantity of blur present in the digital image.

Abstract: The present disclosure provides computing device implemented methods, computing device readable media, and systems for motion compensation in a three dimensional scan. Motion compensation can include receiving three-dimensional (3D) scans of a dentition, estimating a motion trajectory from one scan to another, and calculating a corrected scan by compensating for the motion trajectory. Estimating the motion trajectory can include one or more of: registering a scan to another scan and determining whether an amount of movement between the scans is within a registration threshold; determining an optical flow based on local motion between consecutive two-dimensional (2D) images taken during the scan, estimating and improving a motion trajectory of a point in the scan using the optical flow; and estimating an amount of motion of a 3D scanner during the scan as a rigid body transformation based on input from a position tracking device.

Abstract: A method is described to greatly improve the efficiency of and reduce the complexity of image compression when using single-sensor color imagers for video acquisition. The method in addition allows for this new image compression type to be compatible with existing video processing tools, improving the workflow for film and television production.

Abstract: Various methods and systems are provided for image processing for multiple cameras. In one embodiment, a method comprises acquiring image frames with a plurality of image frame sources configured with different acquisition settings, processing the image frames based on the different acquisition settings to generate at least one final image frame, and outputting the at least one final image frame. In this way, information from different image frame sources such as cameras may be leveraged to achieve increased frame rates with improved image quality and a desired motion appearance.

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 electronic apparatus includes an imaging device and a control device, and the control device performs moving image acquisition processing of acquiring a first moving image captured by the imaging device, important scene determination processing of determining whether or not each of frames included in the first moving image is an important scene, based on image information included in the first moving image, and scene information generation processing of generating important scene information including a result of the determination whether or not each of the frames is the important scene.

Abstract: One embodiment can provide a system for detecting a difference between a physical object and a reference model corresponding to the physical object. During operation, the system obtains a real-world image of the physical object and generates an augmented reality (AR) image by projecting a three-dimensional overlay generated from the reference model onto the physical object in the real-world image. While generating the AR image, the system aligns a pose of the reference model to a pose of the physical object. The system can detect the difference between the physical object and the reference model based on the generated AR image and the real-world 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: An image processing system may include an imaging device for capturing an image and an image processing apparatus for processing the image. The imaging device may include an imaging unit for capturing the image, a first recording unit for recording information relating to the image, the information being associated with the image, and a first transmission control unit for controlling transmission of the image to the image processing apparatus. The image processing apparatus may include a reception control unit for controlling reception of the image transmitted from the imaging device, a feature extracting unit for extracting a feature of the received image, a second recording unit for recording the feature, extracted from the image, the feature being associated with the image, and a second transmission control unit for controlling transmission of the feature to the imaging device.

Abstract: An image identification apparatus includes: a memory; and a processor coupled to the memory, the processor being configured to perform processing, the processing including: acquiring a contour image where pixels indicating a contour of a subject are extracted from an input image; detecting pixels of 3 points or more over the contour from each of regions in the contour image, which are separated by a predetermined distance in a vertical direction or a horizontal direction; calculating, for each combination of pixels of every 2 points among the detected pixels, an intersection point of a perpendicular bisector of a line segment having 2 points as end points and a distance between the intersection point and one of the detected pixels; and identifying, from the input image, a circle having the intersection point as a center of the circle and the distance as a radius.

Abstract: A feature amount generation unit 26a of an information processing unit 20-1 generates a feature amount indicating the relationship in spectral reflectance between two points, from spectral data of a multispectral image in an irradiation region of a common light source acquired by a multispectral camera 10. A recognition processing unit 27 performs recognition processing on a subject, on the basis of the feature amount generated by the feature amount generation unit 26a, with at least one of the two points regarded as a position in an image area of the subject that is a recognition target in the multispectral image. Therefore, the feature amount generation unit 26a can easily generate the feature amount robust against variation of the light source and appropriate for the subject. In addition, the authentication processing unit 27 can accurately perform the recognition processing even if the light source varies between registration of the subject and the recognition of the subject.

Abstract: An information processing apparatus includes a processor configured to: acquire an amount of color change, the amount of color change being an amount of color change caused by processing performed on image data, the amount of color change being acquired for each area with a color change within the image data; and extract an interest region from the image data, the interest region being an area in the image data where the amount of color change is greater than in other areas.

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.