Abstract: A method or system is capable of detecting operator behavior (“OB”) utilizing a virtuous cycle containing sensors, machine learning center (“MLC”), and cloud based network (“CBN”). In one aspect, the process monitors operator body language captured by interior sensors and captures surrounding information observed by exterior sensors onboard a vehicle as the vehicle is in motion. After selectively recording the captured data in accordance with an OB model generated by MLC, an abnormal OB (“AOB”) is detected in accordance with vehicular status signals received by the OB model. Upon rewinding recorded operator body language and the surrounding information leading up to detection of AOB, labeled data associated with AOB is generated. The labeled data is subsequently uploaded to CBN for facilitating OB model training at MLC via a virtuous cycle.

Abstract: The present invention discloses an apparatus and a method for detecting a touch pressure. The apparatus includes a fingerprint sensor module and a touch pressure calculating module, where the fingerprint sensor module includes a plurality of pixels, in which: the fingerprint sensor module configured to collect, via the plurality of pixels, texture information data of a body part touching the fingerprint sensor module; the touch pressure calculating module configured to calculate a touch pressure of the body part according to the collected texture information data, thereby achieving the detection of the touch pressure by virtue of an existing fingerprint sensor.

Abstract: A method for color index coding of blocks in a picture is disclosed. In one embodiment for the decoder side, a current coding mode is parsed from the input coded bitstream for one or more first currently decoded pixels in a current block starting from a first starting position. If the current coding mode corresponds to a generalized copy-previous-row mode, one or more first reference pixels starting from a first starting reference position located at T-th row above the first currently decoded pixels are identified, where T is an integer equal to or greater than one. The first reference pixels starting from the first starting reference position are then used to decode the first currently decoded pixels starting from a first starting position by copying the first reference pixels starting from the first starting reference position respectively. The system may also include a copy-left mode or escape mode.

Abstract: The invention generally relates to devices and systems for individually barcoding sample vessels. In certain embodiments, the devices comprise an attachment member and an extension member, where the extension member can accommodate an identifier, such as a barcode. When loaded into a substrate, the barcoded vials are scanned by a barcode reader.

Abstract: An image information recognition processing method, device and a computer storage medium are provided. A first reference image and an image to be detected are acquired. Nth interception or cutting processing on the image to be detected is performed in a specified direction to obtain an Nth sub-image according to a first preset rule. First attribute values and/or second attribute values of the first reference image and the Nth sub-image are acquired respectively, the first attribute values being configured to represent color distribution information of the images and the second attribute values being configured to represent fingerprint information of the images. When the first attribute value and/or second attribute value of the Nth sub-image and the corresponding attribute value(s) of the first reference image meet a predetermined condition, it is recognized that the image to be detected to which the Nth sub-image belongs is matched with the first reference image.

Abstract: An image processing method is provided. The method is configured to process the color-block image output by the image sensor. The face region of the color-block image is determined. A part of the color-block image beyond the face region is converted into a first simulation image using a first interpolation algorithm. A part of the color-block image within the face region is converted into a second simulation image using a second interpolation algorithm. The complexity of the second interpolation algorithm is less than that of the first interpolation algorithm. The first simulation image and the second simulation image are merged into a simulation image corresponding to the color-block image. An image processing apparatus and an electronic device are provided. With the image processing method, the image processing apparatus and the electronic device, distinguishability and resolution of the image are improved, and time required for processing the image is reduced.

Abstract: A face liveness detection method includes outputting a prompt to complete one or more specified actions in sequence within a specified time period, obtaining a face video, detecting a reference face image frame in the face video using a face detection method, locating a facial keypoint in the reference face image frame, tracking the facial keypoint in one or more subsequent face image frames, determining a state parameter of one of the one or more specified actions using a continuity analysis method according to the facial keypoint, and determining whether the one of the one or more specified actions is completed according to a continuity of the state parameter.

Abstract: Techniques related to performing skin detection in an image are discussed. Such techniques may include generating skin and non-skin models based on a skin dominant region and another region, respectively, of the image and classifying individual pixels of the image via a discriminative skin likelihood function based on the skin model and the non-skin model.

Abstract: Technologies are described in conjunction with automatic grouping based handling of similar photos. According to some examples, similar photos may be grouped as a group of people or person's image taken within a short time frame. Grouping of the photos may be based on a difference metric comparing facial features, background composition, and color composition. Among the group of photos, a representative image may be selected based on a quality threshold and displayed representing the entire group. Visual aids such as icons, text, and other elements may be used to indicate information associated with the grouped photos. Context based menus may be presented to allow users to select and handle the entire group or photos within the group seamlessly as the user handles other images within a photo viewing/handling user interface.

Abstract: In some embodiments, noise data may be used to train a neural network (or other prediction model). In some embodiments, input noise data may be obtained and provided to a prediction model to obtain an output related to the input noise data (e.g., the output being a prediction related to the input noise data). One or more target output indications may be provided as reference feedback to the prediction model to update one or more portions of the prediction model, wherein the one or more portions of the prediction model are updated based on the related output and the target indications. Subsequent to the portions of the prediction model being updated, a data item may be provided to the prediction model to obtain a prediction related to the data item (e.g., a different version of the data item, a location of an aspect in the data item, etc.).

Abstract: The current document is directed to methods and systems that straighten in the text lines of text-containing digital images. Initial processing of a text-containing image identifies the outline of a text-containing page. Next, aggregations of symbols, including words and word fragments, are identified within the outlined page image. The centroids and inclination angles of the symbol aggregations are determined, allowing each symbol aggregation to be circumscribed by a closest-fitting rectangle oriented in conformance with the inclination angle determined for the circumscribed symbol aggregation. A model is constructed for the text-line curvature within the text image based on the circumscribed symbol aggregations and is refined using additional information extracted from the text image. The model, essentially an inclination-angle map, allows for assigning local displacements to pixels within the page image which are then used to straighten the text lines in the text image.

Abstract: High quality, high contrast images of an iris and the face of a person are acquired in rapid succession in either sequence by a single sensor and one or more illuminators, preferably within less than one second of each other, by changing the data acquisition settings or illumination settings between each acquisition.

Abstract: A picture synthesis method and apparatus, an instant messaging method and a picture synthesis server/device are disclosed. The method comprises: after at least two pictures to be synthesized are acquired, determining a visual center of each of the pictures to be synthesized; cutting the corresponding pictures to be synthesized in accordance with the visual center of each of the pictures to be synthesized and a first set specification; and synthesizing all of the cut pictures to be synthesized to obtain a synthesized picture. Due to full consideration of the visual center of each of the pictures to be synthesized, a visual effect of the finally obtained synthesized picture is ensured, thereby improving the user experience.

Abstract: An apparatus for processing medical images includes a storage unit storing fingerprints that respectively correspond to a plurality of functions, a user input unit detecting a fingerprint of a user, and a controller performing a function corresponding to the detected fingerprint, from among the functions.

Abstract: Systems and methods for improving efficiency in three-dimensional (3D) look-up table (LUT) coding and/or reducing table size of a 3D LUT may be provided. For example, octants associated with the 3D LUT may be provided for color space segmentation and coding may be performed on an octree associated with the octants where coding may include encoding nodes of the octree associated with the octants and corresponding vertices of the 3D LUT belonging to the nodes. The 3D LUT may also be signaled (e.g., based on a sequence and/or picture level).

Abstract: A method includes acquiring, from a camera, an image frame including a representation of an object, and retrieving from a memory, data containing a template of a first pose of the object. A processor compares the first template to the image frame. A plurality of candidate locations in the image frame having a correlation with the template exceeding a predetermined threshold is determined. Edge registration on at least one candidate location of the plurality of candidate locations is performed to derive a refined pose of the object. Based at least in part on the performed edge registration, an initial pose of the object is determined, and a display image is output for display on a display device. The position at which the display image is displayed and/or the content of the display image is based at least in part on the determined initial pose of the object.

Abstract: A substrate inspection device for inspecting a flexible printed board to determine whether the transparent adhesive material is properly applied thereto comprises: a substrate reading device which irradiates the flexible printed board with visible light to acquire image data; an adhesive material position determination unit which determines a position of adhesive material CAD data corresponding to the transparent adhesive material with respect to blue color image data among the image data corresponding to blue light which is readily absorbed by polyimide, to create adhesive material alignment data in which the adhesive material CAD data is superposed; an edge enhancing unit which performs processing, on the blue color image data, to enhance an edge of the transparent adhesive material; and a straight line determination unit which determines whether the edge of the transparent adhesive material is present in edge enhanced data in which the edge of the transparent adhesive material is enhanced.

Abstract: The present disclosure provides a high resolution structured light system that is also capable of maintaining high throughput. The high resolution structured light system includes one or more image capture devices, such as a camera and/or an image sensor, a projector, and a blurring element. The projector is configured to project a binary pattern so that the projector can operate at high throughput. The binary projection pattern is subsequently filtered by the blurring element to remove high frequency components of the binary projection pattern. This filtering smoothes out sharp edges of the binary projection pattern, thereby creating a blurred projection pattern that changes gradually from the low value to the high value. This gradual change can be used by the structured light system to resolve spatial changes in the 3D profile that could not otherwise be resolved using a binary pattern.

Abstract: A detected quadrilateral area is displayed and no group of candidate lines is displayed in a normal state. While a user is selecting a side that the user desires to change, a group of candidate lines corresponding to the selected side is displayed. Then, whether to replace a position of the selected side with a position of a candidate line is determined based on a movement destination position of the selected side.

Abstract: An image-filtering method that includes the steps outlined below is provided. Target image values and an input image having input pixel values are retrieved. A difference function between filtering response values of a desired output image and the target image values is determined, wherein the filtering response values are generated by filtering desired output pixel values of the desired output image based on characteristic filtering coefficients. An optimal solution of a desired output central pixel value of the desired output image is calculated according to a linear equation related to the characteristic filtering coefficients, wherein the optimal solution minimizes a value of the difference function. A corresponding relation between the desired output central pixel values and the input pixel values are retrieved from the optimal solution to calculate optimal filtering coefficients.