Abstract: Systems and methods for biometric authentication with liveness detection are disclosed. A method of biometric authentication may be performed in an information processing apparatus including at least a memory, a communication interface, at least one computer processor, a display, and an image capture device. The method may include (1) receiving a streaming images of a user's face captured by the image capture device; (2) graphically presenting, on the display, the streaming images, a target and a moveable object; (3) detecting a movement of a feature of the user's face in the streaming images; (4) graphically presenting the movement of the feature of the user's face on the display by moving the object in a direction of the movement of the feature of the user's face; and (5) determining whether the user is live based on the movement.

Abstract: Systems and methods are provided for navigating an autonomous vehicle. In one implementation, a system for detecting whether a road on which a host vehicle travels is a one-way road may include at least one processing device. The processing device may be programmed to receive at least one image associated with an environment of the host vehicle, identify a first plurality of vehicles on a first side of the road, identify a second plurality of vehicles on a second side of the road, determine a first facing direction associated with the first plurality of vehicles, determine a second facing direction associated with the second plurality of vehicles, and cause at least one navigational change of the host vehicle when the first facing direction and the second facing direction are both opposite to a heading direction of the host vehicle.

Abstract: A system includes, in one aspect, one or more processing devices that perform operations comprising: detecting one or more human objects in images captured by a visual image recording device; obtaining a motion timeseries for each of the detected one or more human objects using the captured images; obtaining a received signal strength (RSS) timeseries for each of the one or more mobile devices, based on received RF signals from the one or more mobile devices; and generating an association between (i) identifying data for a first mobile device of the one or more mobile devices, and (ii) identifying data for one of the one or more human objects representing a first human, wherein the first mobile device has an RSS timeseries that fluctuates at a time period corresponding to movement in the obtained motion timeseries for the one of the one or more human objects representing the first human.

Abstract: Image data corresponding to an image depicting an equation is received. The image data is processed to identify a plurality of morphological components corresponding to the equation depicted in the image. A computer readable data object is generated using the plurality of morphological components, wherein the computer readable data object is in a defined syntax computable by a computational application.

Abstract: A fingerprint entry prompting method, includes: obtaining an ith entered fingerprint image, during a process of collecting and combining N fingerprint images entered in sequence to generate a fingerprint template of a user, wherein N?i?2, and N and i are integers; obtaining an overlap region between the ith entered fingerprint image and a determined template image, wherein the determined template image is generated by combining i?1 previously entered fingerprint images; and presenting a prompting message when the overlap region satisfies a prompting condition, wherein the prompting message is configured to instruct the user to move a finger towards a specified direction and re-enter the ith fingerprint image.

Abstract: In general, techniques are described that facilitate processing of color image data using both a mono image data and a color image data. A device comprising a monochrome camera, a color camera, and a processor may be configured to perform the techniques. The monochrome camera may capture monochrome image data of a scene. The color camera may capture color image data of the scene. A processor may determine a parallax value indicative of a level of parallax between the monochrome image data and the color image data and determine that the parallax is greater than the parallax threshold. The processor may further combine, in response to the determination that the parallax is greater than the parallax threshold, a luma component of the color image data with a luma component of the monochrome image data to generate a luma component of enhanced color image data.

Abstract: Image data is generated from a load stack in the operating area of a load handling apparatus. The image data includes a sight apparatus having several lines that are set in relation to each other such that the lines correspond to at least two sides of the lowest load in the load stack and at least two sides of a load set on top of the lowest load in the load stack.

Abstract: Infrastructure and methods to implement a feedback loop for a horticultural operation are disclosed. Image capture devices are deployed on a per plant or near per plant basis, and upload images to image analysis server. The image analysis server applies image preprocessing to the uploaded images, and then applies image analysis to identify plants and plant artifacts. Where artifacts indicate an issue with a plant, a course of action to remediate is identified. Static analysis techniques, sequential analysis techniques, and adaptive techniques are some of the techniques enabled and disclosed by the application of object recognition techniques to horticultural applications. Images may be associated with a plant state vector to enable complex comparison operations.

Abstract: A method for registering image data sets of a target region of a patient includes selecting a first anatomical structure only or at least partially only visible in the first image data set, and a second anatomical structure only or at least partially only visible in the second image data set, such that there is a known geometrical relationship between extended segments of the anatomical structures; automatically determining a first geometry information describing the geometry of at least a part of the first anatomical structure and a second geometry information describing the geometry of at least a part of the second anatomical structure, neither information being sufficient to enable registration of the image data sets on its own; automatically optimizing transformation parameters describing a rigid transformation of one of the anatomical structures with respect to the other and geometrical correspondences; and determining registration information from the optimized transformation parameters.

Abstract: Systems and methods for cloud-based device management. In one implementation, a processing device receives one or more images captured in relation to a device, processes the one or more images to determine a presence of one or more identifiers within the one or more images, based on a determination that an identifier is present within the one or more images, processes the identifier in relation to an information repository to determine a permission status with respect to the identifier; identifies an instruction protocol associated with the device, generates an instruction corresponding to the permission status and the instruction protocol, and provides the instruction to the device.

Abstract: A method and a system are described for performing optical character recognition on an image including a plurality of printed characters. The method includes defining one or more opcodes and direction pointers associated with the plurality of printed characters of a language and a font type, wherein each of the one or more opcodes has an associated unique opcode characterization value. The method includes creating a binary tree comprising a plurality of nodes, wherein each node of the plurality of nodes is assigned the unique opcode characterization value. The method includes retrieving a set of operations associated with the unique opcode characterization value assigned to each of the plurality of nodes. The method includes navigating the binary tree from a root node to a leaf node based on the set of operations, the first pointer value, and the second pointer value until the leaf node is reached.

Abstract: An image pickup device of the present invention includes an image pickup unit that captures a video image, a mask area determination unit that determines a mask area, for which processing for detection of a characteristic part of a target is excluded, among a portion or the entirety of an area of image data of the video image captured by the image pickup unit, and a characteristic part detector that performs the detection processing of the characteristic part of the target on a detection target area obtained by excluding the mask area determined by the mask area determination unit from the portion or the entirety of the area of the image data of the video image captured by the image pickup unit.

Abstract: A target searching apparatus includes a display, an object region extractor, a feature amount calculator, a second feature amount calculator, and an object present region extractor. The object region extractor extracts, from a display image, an object region including an identification object. The feature amount calculator calculates in-region and out-region representative values of the image feature amount that respectively are representative values inside and outside the object region in the display image. The second feature amount calculator calculates a representative value of the image feature amount in each of a plurality of small regions into which the object region is divided. The object present region extractor extracts, from the plurality of small regions, one or more small region having the representative value that is closer to the in-region representative value than the out-region representative value, as an object present region in which the identification object is present.

Abstract: Image processing technologies, an image acquisition method and an image acquisition apparatus are provided. A method comprises exposing an image sensor, reading a charge on the image sensor and performing analog-to-digital conversion, where a charge of pixels on a partial region of the photosensitive sensor is read by means of pixel binning according to data characteristics of an image of a target scene, and obtaining a target image of the target scene according to the read charge. Local combination can be performed on at least two images of different image quality according to data characteristics of the images, so that the dynamic range and/or signal-to-noise ratio can be improved locally on the basis of presenting image details as fully as possible, that is, the image quality can be improved according to requirements.

Abstract: A face recognition system of a residential environment identifies an individual present in the residential environment. The residential environment include a plurality of home devices and is associated with a group of different persons. The face recognition system identifies which person in the group is the individual and generate an operating instruction for a home device based on identity of the individual. For example, the face recognition system captures an image set of the individual's head and face and applies the image set to a machine learning model that is trained to distinguish between the different persons based on images of their heads and faces. The face recognition system can retrieve a personal profile of the identified individual, which includes settings of the home device for the identified individual. The face recognition system generates the operating instruction based on the personal profile.

Abstract: An information processing apparatus detects a line segment from an image, determines whether four sides of a plate are detected based on the detected line segment, calculates an aspect ratio of the detected four sides in a case where it is determined that four sides of the plate are detected, and determines whether the aspect ratio satisfies a first condition. In a case where it is determined that four sides of the plate are not detected, the information processing apparatus searches a vicinity of the detected line segment for an object, and determines whether the object satisfies a second condition. The information processing apparatus judges that a recognition target area is included in the image in a case where it is determined that the first condition or the second condition is satisfied.

Abstract: A method and apparatus for grading leather based upon the size and spacing of the breaks in the leather. All or a portion of a hide is fed to a fixture that compresses a local area of the hide into a concave shape. The outer side of the hide is compressed and the inner side of the hide is expanded to cause breaks to be manifested in a local area. The local area of the hide is scanned with a digitizing profilometer that measures the depth of the breaks as the hide is fed through the fixture. The depth data measured by the digitizing profilometer is recorded by a controller. The depth data is then correlated with location data representing the local area scanned to develop a map of the break.

Abstract: An apparatus for detecting an attitude of electronic components. The electronic components include an electronic component having a plurality of terminals. The apparatus includes a storage and an image processor. The image processor is configured to: extract a binarized image from an image acquired by an imaging device; perform image matching between a terminal in the binarized image and a terminal in a model image to extract attitude candidates of image matching; obtain coordinates of a corner part of the plurality of terminals from the binarized image of the electronic component; select an attitude candidate from among the attitude candidates of image matching; and output the attitude candidate as a detected attitude of the electronic component.

Abstract: A computer-implemented technique is described for verifying the identity of a user using two components of face analysis. In a first part, the technique determines whether captured face information matches a previously stored structural face signature pertaining to the user. The structural face signature describes, at least in part, gross structural characteristics of the face that are largely invariant from pose to pose. In the second part, the technique determines whether the captured face information matches a dynamic face signature associated with the user. The dynamic face signature describes movement of parts of the face over a span of time as the user performs a gesture, and the correlation of different parts of the face during the movement. The technique reduces the risk that a malicious actor can successfully artificially duplicate the appearance of an authorized user.

Abstract: The present disclosure relates to an image classification and clustering method and device. Two images containing human faces may be classified into one cluster or different clusters based on a cluster merging threshold adaptively determined according to the combinational face poses in the two images. The adaptive cluster merging threshold help reduce false positive and false negative classification of human face containing images into clusters.