Abstract: A system for image processing, a method of facial expression detection and a method of reconstruction image generation. The system comprises a facial expression extraction module arranged to, upon receiving a source sequence of images representing a predetermined facial expression performed by a sample target, extract a motion of at least one key facial feature of the sample target associated with the predetermined facial expression, and to enhance the detection of the motion including at least one subtle movement of the at least one key facial feature; and a facial expression data analyser arranged to collect facial micro-expression data associated with the predetermined facial expression and the motion including subtle movements of all key facial features of the sample target performing the predetermined facial expression.

Abstract: Systems and methods for providing a dynamic medical practice queueing platform via at least one patient user mobile device in operable connection with a network. An application server is in operable communication with the network to host an application program for displaying, via a display module, a virtual patient queue. The application program includes a user interface module for providing access to the virtual patient queue through the display module. A geofencing module determines the location of a user in reference to a geofenced location. A virtual patient queue module determines a time of arrival of a patient using the current location of the patient and positions the patient within a virtual queue.

Abstract: In one embodiment, a service chain data packet is instrumented as it is communicated among network nodes in a network providing service-level and/or networking operations visibility. The service chain data packet includes a particular header identifying a service group defining one or more service functions, and is a data packet and not a probe packet. A network node adds networking and/or service-layer operations data to the particular service chain data packet, such as, but not limited to, in the particular header. Such networking operations data includes a performance metric or attribute related to the transport of the particular service chain packet in the network. Such service-layer operations data includes a performance metric or attribute related to the service-level processing of the particular service chain data packet in the network.

Abstract: An action recognition system and method for recognising actions performed by a subject, the action recognition system comprising: a computing apparatus comprising a processor, a memory unit, wherein the memory unit comprises a non-transitory computer readable medium comprising computer executable instructions stored thereon that, upon execution of the instructions by the processor, the processor configured to: receiving one or more input images of a subject captured by an image capture device, generate a wire three dimensional (3D) skeletal model of the subject identified within the one or more input images, determine an observation viewpoint for each image, apply a transform to the skeletal model based on the identified viewpoint, process the skeletal model to identify an action.

Abstract: In one embodiment, a service chain data packet is instrumented as it is communicated among network nodes in a network providing service-level and/or networking operations visibility. The service chain data packet includes a particular header identifying a service group defining one or more service functions, and is a data packet and not a probe packet. A network node adds networking and/or service-layer operations data to the particular service chain data packet, such as, but not limited to, in the particular header. Such networking operations data includes a performance metric or attribute related to the transport of the particular service chain packet in the network. Such service-layer operations data includes a performance metric or attribute related to the service-level processing of the particular service chain data packet in the network.

Abstract: An ultra-high performance concrete (UHPC) with waste brick powder and preparation method and application thereof are provided, which relates to the technical field of concrete. The preparation method includes the following steps: stimulating activity of a brick powder by a method of mechanically stimulating activity to obtain waste brick powder; and preparing UHPC according to a mass ratio of cement to waste brick powder of 5:5-7:3 to obtain the UHPC with waste brick powder. The UHPC is prepared by treating waste bricks from construction waste (mechanically stimulating activity) to make waste brick powder with activity, therefore partially replacing cement. The UHPC is applied in a construction field.

Abstract: Eye and hand tracking systems in head-mounted display (HMD) devices are arranged with lensless camera systems using optical masks as encoding elements that apply convolutions to optical images of body parts (e.g., eyes or hands) of HMD device users. The convolved body images are scrambled or coded representations that are captured by a sensor in the system, but are not human-recognizable. A machine learning system such as a neural network is configured to extract body features directly from the coded representation without performance of deconvolutions conventionally utilized to reconstruct the original body images in human-recognizable form. The extracted body features are utilized by the respective eye or hand tracking systems to output relevant tracking data for the user's eyes or hands which may be utilized by the HMD device to support various applications and user experiences. The lensless camera and machine learning system are jointly optimizable on an end-to-end basis.

Abstract: An ultra-high performance concrete (UHPC) with waste brick powder and preparation method and application thereof are provided, which relates to the technical field of concrete. The preparation method includes the following steps: stimulating activity of a brick powder by a method of mechanically stimulating activity to obtain waste brick powder; and preparing UHPC according to a mass ratio of cement to waste brick powder of 5:5-7:3 to obtain the UHPC with waste brick powder. The UHPC is prepared by treating waste bricks from construction waste (mechanically stimulating activity) to make waste brick powder with activity, therefore partially replacing cement. The UHPC is applied in a construction field.

Abstract: Facilitating secure and updated user profile information within a distributed network for facial recognition-based access control systems is disclosed. A user's signature (e.g., facial profile data) is routinely and consistently updated across the access control platform. A remote computing system maintains timely and accurate signature data between user devices and access control devices such that each device benefits from the most updated user information, facial recognition models, and spoof detection models. A user may enroll or disenroll in the access control platform via his or her own mobile device, a cloud-based server, and/or the access control device. The enrollment or disenrollment data may be automatically synchronized and updated throughout the platform. These and other benefits may improve the ease with which users and access controllers (e.g., building owners, landlords, etc.

Abstract: Eye and hand tracking systems in head-mounted display (HMD) devices are arranged with lensless camera systems using optical masks as encoding elements that apply convolutions to optical images of body parts (e.g., eyes or hands) of HMD device users. The convolved body images are scrambled or coded representations that are captured by a sensor in the system, but are not human-recognizable. A machine learning system such as a neural network is configured to extract body features directly from the coded representation without performance of deconvolutions conventionally utilized to reconstruct the original body images in human-recognizable form. The extracted body features are utilized by the respective eye or hand tracking systems to output relevant tracking data for the user's eyes or hands which may be utilized by the HMD device to support various applications and user experiences. The lensless camera and machine learning system are jointly optimizable on an end-to-end basis.

Abstract: A system and method for determining a facial expression including a facial mask generator arranged to detect a plurality of facial points from one or more facial images to generate one or more associated facial point masks, arranged to represent the facial features of an associated face of the one or more facial images; and a learning network arranged to receive and input of the one or more facial images and the one or more associated facial point masks to obtain a classification result for each of the one or more facial images, wherein the classification result is one of a plurality of predefined facial expressions.

Abstract: A system and method to perform lane position sensing and tracking in a vehicle include using a first camera with a first field of view of a first side of the vehicle and a second camera with a second field of view on a second side of the vehicle to capture images. The method includes determining if a first lane line on a first side of the vehicle and a second lane line on the second side of the vehicle are both visible, and based on the first lane line and the second lane line being visible, determining, a position of the vehicle in a lane between the first lane line and the second lane line and determining a trajectory of the first lane line and the second lane line and of the vehicle.

Abstract: Described herein are various technologies pertaining to a computing system architecture that facilitates construction of virtual motherboards and virtual storage devices. A computing system includes a plurality of computing nodes and a plurality of storage nodes, where the computing nodes are disaggregated from the storage nodes. The computing nodes include respective system on chip modules. The computing nodes and the storage nodes are communicatively coupled by way of a full bisection bandwidth network, where each storage node is allocated network bandwidth that at least matches the maximum input/output speed of the storage node. Responsive to receipt of a client request, computing nodes are allocated to the client and exposed to an application of the client as a motherboard. Likewise, storage nodes are allocated to the client and exposed to the application of the client as a larger storage device.

Abstract: A system and method to perform lane position sensing and tracking in a vehicle include using a first camera with a first field of view of a first side of the vehicle and a second camera with a second field of view on a second side of the vehicle to capture images. The method includes determining if a first lane line on a first side of the vehicle and a second lane line on the second side of the vehicle are both visible, and based on the first lane line and the second lane line being visible, determining, a position of the vehicle in a lane between the first lane line and the second lane line and determining a trajectory of the first lane line and the second lane line and of the vehicle.

Abstract: An information switch comprises a plurality of input circuits and a plurality of output circuits, the information switch being configured to communicate information units between the input circuits and the output circuits in successive transmission cycles; each input circuit being configured, in dependence upon a queue of one or more information units for transmission via that input circuit and in dependence upon hint data received in respect of a current transmission cycle, to send an information unit transmission request to one or more of the output circuits; and each output circuit being configured, in response to one or more information unit transmission requests received from respective input circuits, to select an input circuit for information unit transmission to that output circuit in a current transmission cycle and to provide hint data indicating a provisional selection, by that output circuit, of an input circuit at a next transmission cycle.

Abstract: A processing system for and a method of segmenting a physiological image is provided. Once the physiological image is received, extrinsic data defining extrinsic regions is further received. Additionally, intrinsic data defining at least one intrinsic region, each intrinsic region corresponding to one extrinsic region is received. A primary modification is performed, where a shape and size of at least one extrinsic region having a corresponding intrinsic region is modified based on a shape and size of the corresponding intrinsic region, to form a modified extrinsic data. The physiological image is segmented into segmented regions based on the modified extrinsic data, each segmented region which has a corresponding intrinsic region representing a primary modification based on the corresponding intrinsic region.

Abstract: An information switch comprises a plurality of input circuits and a plurality of output circuits, the information switch being configured to communicate information units between the input circuits and the output circuits in successive transmission cycles; each input circuit being configured, in dependence upon a queue of one or more information units for transmission via that input circuit and in dependence upon hint data received in respect of a current transmission cycle, to send an information unit transmission request to one or more of the output circuits; and each output circuit being configured, in response to one or more information unit transmission requests received from respective input circuits, to select an input circuit for information unit transmission to that output circuit in a current transmission cycle and to provide hint data indicating a provisional selection, by that output circuit, of an input circuit at a next transmission cycle.

Abstract: A processing system for and a method of segmenting a physiological image is provided. Once the physiological image is received, extrinsic data defining extrinsic regions is further received. Additionally, intrinsic data defining at least one intrinsic region, each intrinsic region corresponding to one extrinsic region is received. A primary modification is performed, where a shape and size of at least one extrinsic region having a corresponding intrinsic region is modified based on a shape and size of the corresponding intrinsic region, to form a modified extrinsic data. The physiological image is segmented into segmented regions based on the modified extrinsic data, each segmented region which has a corresponding intrinsic region representing a primary modification based on the corresponding intrinsic region.

Abstract: A processing system for and a method of segmenting a physiological image is provided. Once the physiological image is received, extrinsic data defining extrinsic regions is further received. Additionally, intrinsic data defining at least one intrinsic region, each intrinsic region corresponding to one extrinsic region is received. A primary modification is performed, where a shape and size of at least one extrinsic region having a corresponding intrinsic region is modified based on a shape and size of the corresponding intrinsic region, to form a modified extrinsic data. The physiological image is segmented into segmented regions based on the modified extrinsic data, each segmented region which has a corresponding intrinsic region representing a primary modification based on the corresponding intrinsic region.

Abstract: A processing system for and a method of segmenting a physiological image is provided. Once the physiological image is received, extrinsic data defining extrinsic regions is further received. Additionally, intrinsic data defining at least one intrinsic region, each intrinsic region corresponding to one extrinsic region is received. A primary modification is performed, where a shape and size of at least one extrinsic region having a corresponding intrinsic region is modified based on a shape and size of the corresponding intrinsic region, to form a modified extrinsic data. The physiological image is segmented into segmented regions based on the modified extrinsic data, each segmented region which has a corresponding intrinsic region representing a primary modification based on the corresponding intrinsic region.