Abstract: A system for enabling spot cleaning includes a mobile computing device and a mobile cleaning robot. The mobile computing device includes at least one camera configured to capture images of an environment, and at least one data processor configured to (a) establish, based at least in part on first information provided by the at least one image sensor, a coordinate system in the environment, (b) determine, based at least in part on second information provided by the at least one camera, a first set of coordinates of a region at a first location, (c) determine, based at least in part on third information provided by the at least one camera, a second set of coordinates of a mobile cleaning robot at a second location, (d) send the first set of coordinates and second set of coordinates, or coordinates of the first location relative to the second location, to the mobile cleaning robot, and (e) send an instruction to the mobile cleaning robot to request the mobile cleaning robot to travel to the first location.

Abstract: The present disclosure provides a living body detecting method and apparatus, and a computer device, wherein the method comprises: obtaining data of a user's same breathing act through a humidity sensor array and a camera respectively; determining the user's face posture according to data obtained by the humidity sensor array and data obtained by the camera respectively; comparing the determined face postures, and judging whether the user is a living body according to a comparison result. The technical solution of the present disclosure can implement living body detection for the user.

Abstract: Methods and systems for creating a memory recall composite for a face and name association image are described. A first image comprising at least a portion of a subject's face may be received. The first image may be analyzed to determine a set of facial features. A set of objects may be determined and displayed using a set of visual and auditory correspondence rules. An association between a graphical representation of the object and a facial feature may be received. A second image or a memory recall composite may be generated that displays at least a portion of the first image using the graphical representation of the object based in part on the association between the graphical representation of the object and the facial feature associated with the subject's face.

Abstract: The present disclosure provides an emotion recognition-based artwork recommendation method and device. The method includes: obtaining a current biometric parameter of a user; determining a current emotion type of the user according to the current biometric parameter; selecting an image of an artwork corresponding to the current emotion type according to the current emotion type; and recommending an image of the artwork to the user by displaying the image of the artwork on the display screen.

Abstract: A method configured to implemented on at least one image processing device for detecting objects in images includes obtaining an image including an object. The method also includes generating one or more feature vectors related to the image based on a first convolutional neural network, wherein the one or more feature vectors includes a plurality of parameters. The method further includes determining the position of the object based on at least one of the plurality of parameters. The method still further includes determining a category associated with the object based on at least one the plurality of parameters.

Abstract: While a user is located outside a verification area, one or more computing devices are used to obtain, in real time, a first image of the user. The one or more computing devices are used to store the first image among a plurality of images. While the user is located inside the verification area, the one or more computing devices are used to obtain identification information from the user. The one or more computing devices are used to identify, based on the identification information, a second image that is associated with the identification information. The one or more computing devices are used to perform identity verification on the user using the plurality of images, including the first image, and the second image.

Abstract: An annotation device includes: a similarity information obtainer that obtains similarity information indicating whether or not a plurality of labels to be added as annotation data to images are similar to each other; a determiner that determines a layout of the plurality of labels to be displayed on an operation screen for an annotation operation based on the similarity information; a data obtainer communicator that obtains the annotation data added to the images using the operation screen; and an inspector that inspects the annotation data obtained by the second communicator for an erroneously added label.

Abstract: An image processing apparatus comprises a normalisation module operatively connected across a bus to a memory storing an image in which a region of interest (ROI) has been identified within the image. The ROI is bound by a rectangle having a non-orthogonal orientation within the image. In one embodiment, the normalisation module is arranged to divide the ROI into one or more slices, each slice comprising a plurality of adjacent rectangular tiles. For each slice, the apparatus successively reads ROI information for each tile from the memory including: reading a portion of the image extending across at least a width of the slice line-by-line along an extent of a slice. For each tile, the apparatus downsamples the ROI information to a buffer to within a scale SD<2 of a required scale for a normalised version of the ROI.

Abstract: Provided is a drawing section that generates a display image from a predetermined viewpoint by using a texture image and a depth image of a first layer and using a texture image and a depth image of a second layer in which a range of information indicated by a pixel value is different from at least one of the texture image or the depth image of the first layer.

Abstract: A recognition device a first recognition unit, a second recognition unit, and a third recognition unit. The first recognition unit acquires image information of a target person, and determines, based on a first discriminator and a feature in the image information, a first range corresponding to the image information of the target person. The second recognition unit acquires distance information of the target person, and determines, based on a second discriminator and a feature in the distance information, a second range corresponding to the distance information of the target person. The third recognition unit determines, based on the first range determined by the first recognition unit and the second range determined by the second recognition unit, a direction that a body of the target person is facing, and recognizes, based on the determined direction and a joint position dictionary, a skeleton of the target person.

Abstract: The shape of a moving object is reconstructed from a shot image under relatively-strong ambient light or an embedded image is demodulated from a video image in which an image that may not be visually recognized is embedded to display the image. The image processing method of the present invention includes irradiating flashing light to the surface of the object based on a spreading signal obtained by spread spectrum modulation, receiving reflected light from the surface of the object to output the signal including the image information, a filtering for eliminating noise including a low-frequency component from the signal including the image information, inverse-spreading the signal after the filtering to demodulate the signal, and outputting, based on a signal obtained by the demodulation, an image reflecting the state of the surface of the object.

Abstract: Methods and systems are provided for electronic authentication. A modified electronic image is generated by altering at least a pixel of an electronic image. The electronic image is an image that has been previously viewed by a user during a setup process. In response to receiving an authentication request from the user, the modified electronic image is displayed to the user via an electronic display along with one or more other electronic images. A determination is made as to whether the user is able to recognize the modified electronic image. In response to determination that the user is able to recognize the modified electronic image, the authenticating request is granted.

Abstract: Systems, devices, media, and methods are presented for generating facial representations using image segmentation with a client device. The systems and methods receive an image depicting a face, detect at least a portion of the face within the image, and identify a set of facial landmarks within the portion of the face. The systems and methods determine one or more characteristics representing the portion of the face, in response to detecting the portion of the face. Based on the one or more characteristics and the set of facial landmarks, the systems and methods generate a representation of a face.

Abstract: A skin analyzer includes a facial part recognition unit that recognizes a facial part from a face image of a user captured by a camera; a UI unit that causes a display to display a UI in which a facial part mark indicating the facial part is disposed on a face image, and that accepts an operation with respect to the facial part mark; an analysis region setting unit that sets a skin analysis region for the face image based on a position of the operated facial part mark; and a skin analysis performing unit that performs a skin analysis on the set skin analysis region.

Abstract: In one embodiment, a technique includes detecting an identifier associated with a product. The technique further includes accessing a content object associated with the identifier on a third-party system. In the technique, the content object includes a set of instructions. The technique also includes detecting a trigger. The technique further includes selecting a step of the content object and outputting the selected step.

Abstract: In one aspect, a computerized method useful for handwriting recognition (HWR) on physical mail envelopes addressed to a user includes the step of scanning a physical mail item to obtain a digital image of the address-side of the physical mail item. The method includes the step of identifying that at least one of a return address region or a recipient address region of the address-side of the physical mail item. The method includes the step of determining that the at least one of the return address region or a recipient address region comprises a handwritten text. The method includes the step of providing a data store of known senders to the recipient address. The data store of known senders comprises a data store of return address information in a known sender handwriting samples and a data store of receiver address information in the known sender handwriting samples. The method includes the step of providing a data store of a receiver's identity and address.

Abstract: A skin analyzing device includes: a facial coordinates setting unit that sets facial coordinates on a facial image of a measurement subject by using, as a reference, a position of a facial portion identified from the facial image, a region-of-interest setting unit that sets a first region of interest to a first facial image of the measurement subject, and sets a second region of interest that has facial coordinates in common with the first region of interest to a second facial image of the measurement subject, and a skin analysis user interface (UI) unit that displays the first facial image and the second facial image next to each other, and displays a skin analysis result in the first region of interest with respect to the first facial image and a skin analysis result in the second region of interest with respect to the second facial image.

Abstract: A plurality of electronic documents comprising one or more document pages are received. First position markers, second position markers and page identifiers are inserted to the pages. The plurality of electronic documents are printed, thereby generating a printed corpus comprising a plurality of printed documents. The plurality of printed documents are scanned, thereby generating a scanned corpus comprising a plurality of scanned images. Scanning frame positions of the first and the second position markers are detected and the detected scanning frame positions and the page positions are used to define affine transformations between the plurality of scanned images and the corresponding document pages. The affine transformations are applied to the plurality of scanned images to align the plurality of scanned images with the corresponding document pages of the plurality of electronic documents.

Abstract: Disclosed embodiments provide for vehicle manipulation using convolutional image processing. The convolutional image processing is accomplished using a computer, where the computer can include a multilayered analysis engine. The multilayered analysis engine can include a convolutional neural network (CNN). The computer is initialized for convolutional processing. A plurality of images is obtained using an imaging device within a first vehicle. A multilayered analysis engine is trained using the plurality of images. The multilayered analysis engine includes multiple layers that include convolutional layers hidden layers. The multilayered analysis engine is used for cognitive state analysis. The evaluating provides a cognitive state analysis. Further images are analyzed using the multilayered analysis engine. The further images include facial image data from one or more persons present in a second vehicle. Voice data is collected to augment the cognitive state analysis.

Abstract: Disclosed are systems and methods of capturing sensor data associated with a retail location. The systems and methods further include a point-of-sale device for processing customer transactions and generating an event trigger for capturing sensor data from one or more of the sensors at the retail location. In response to the event trigger, the systems and methods capture data from the one or more sensors at the retail location and provide access to the stored sensor data and event triggers via a user interface of the point-of-sale device for review of the stored sensor data and event trigger.