Abstract: A method for keypoint matching includes receiving an input image obtained by a sensor of an agent. The method also includes identifying a set of keypoints of the received image. The method further includes augmenting the descriptor of each of the keypoints with semantic information of the input image. The method also includes identifying a target image based on one or more semantically augmented descriptors of the target image matching one or more semantically augmented descriptors of the input image. The method further includes controlling an action of the agent in response to identifying the target.

Abstract: The disclosed computer-implemented method may include (1) receiving a present frame of a video stream, the present frame comprising a present depiction of a multi-segment articulated body system, (2) identifying a previous frame of the video stream that comprises a previous depiction of the multi-segment articulated body system, (3) analyzing the present frame and the previous frame to determine whether the multi-segment articulated body system remained substantially rigid between the previous frame and the present frame, and (4) estimating a pose of the multi-segment articulated body system in the present frame using a first pose estimation computation that treats the multi-segment articulated body system as rigid and that is selected in contrast to a second pose estimation computation based on determining that the multi-segment articulated body system remained substantially rigid between the previous frame and the present frame. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: The invention relates to: a light-emitting device which includes a first flexible substrate having a first electrode, a light-emitting layer over the first electrode, and a second electrode with a projecting portion over the light-emitting layer and a second flexible substrate having a semiconductor circuit and a third electrode electrically connected to the semiconductor circuit, in which the projecting portion of the second electrode and the third electrode are electrically connected to each other; a method for manufacturing the light-emitting device; and a cellular phone which includes a housing incorporating the light-emitting device and having a longitudinal direction and a lateral direction, in which the light-emitting device is disposed on a horn side and in an upper portion in the longitudinal direction of the housing.

Abstract: Systems, methods, devices and non-transitory, computer-readable storage mediums are disclosed for gesture recognition for a wearable multimedia device using real-time data streams. In an embodiment, a method comprises: detecting a trigger event from one or more real-time data streams running on a wearable multimedia device; taking one or more data snapshots of the one or more real-time data streams; inferring user intent from the one or more data snapshots; and selecting a service or preparing content for the user based on the inferred user intent. In an embodiment, a hand and finger pointing direction is determined from a depth image, a 2D bounding box for the hand/finger is projected into a 2D image space and compared to bounding boxes for identified/labeled objects in the 2D image space to identify an object that the hand is holding or the finger is pointing toward.

Abstract: A vehicle external environment recognition apparatus to be applied to a vehicle includes one or more processors and one or more memories configured to be coupled to the one or more processors. The one or more processors are configured to: calculate three-dimensional positions of respective blocks in a captured image; group the blocks to put any two or more of the blocks that have the three-dimensional positions differing from each other within a predetermined range in a group and thereby determine three-dimensional objects; identify each of a preceding vehicle of the vehicle and a sidewall on the basis of the determined three-dimensional objects; and track the preceding vehicle. The one or more processors are configured to determine, upon tracking the preceding vehicle, whether the preceding vehicle to track is to be hidden by the sidewall on the basis of a border line between a blind region and a viewable region.

Abstract: Embodiments may include novel techniques for Task-Adaptive Feature Sub-Space Learning (TAFSSL). For example, in an embodiment, a method may be implemented in a computer system comprising a processor, memory accessible by the processor, and computer program instructions stored in the memory and executable by the processor, the method comprising: training a machine learning system to classify features in images by: generating a sample set comprising one or a few labeled training samples and one or a few additional samples containing instances of target classes, performing dimensionality reduction computed on the samples in the sample set to form a dimension reduced sub-space, generating class representatives in the dimension reduced sub-space using clustering, and classifying features in images using the trained machine learning system.

Abstract: A face recognition method includes: obtaining a first feature image that describes a face feature of a target face image and a first feature vector corresponding to the first feature image; obtaining a first feature value that represents a degree of difference between a face feature in the first feature image and that in the target face image; obtaining a similarity between the target face image and a template face image according to the first feature vector, the first feature value, and a second feature vector and a second feature value corresponding to a second feature image of the template face image, the second feature value describing a degree of difference between a face feature in the second feature image and that in the template face image; and determining, when the similarity is greater than a preset threshold, that the target face image matches the template face image.

Abstract: Vehicles and a method for initiating, maintaining, and terminating an image capture session with an external image capture component. The method includes initiating an image capture session with an image capture component that is external to the vehicle, receiving, from the image capture component, an image, determining whether image data of the image includes identifying information associated with the vehicle, and instructing the image capture component to maintain the image capture session associated with the vehicle in response to determining that the image data includes identifying information associated with the vehicle. Additionally, the method includes terminating the image capture session with the image capture component in response to determining that the image data does not include the identifying information.

Abstract: Provided are a vehicle outside information acquiring unit to acquire vehicle outside information, a face information acquiring unit to acquire face information, a biological information acquiring unit to acquire biological information, a vehicle information acquiring unit to acquire vehicle information, a vehicle outside information feature amount extracting unit to extract a vehicle outside information feature amount on the basis of the vehicle outside information, a face information feature amount extracting unit to extract a face information feature amount in accordance with the vehicle outside information feature amount, a biological information feature amount extracting unit to extract a biological information feature amount in accordance with the vehicle outside information feature amount, a vehicle information feature amount extracting unit to extract a vehicle information feature amount in accordance with the vehicle outside information feature amount, and a cognitive function estimation unit to estim

Abstract: A ranging apparatus capable of suppressing reduction of ranging accuracy at a long distance end of a distance measurement range, thereby making it possible to perform high-accuracy ranging over a wide distance range. An image pickup device receives light fluxes from a fixed focus optical system. A distance information acquisition unit acquires distance information of an object based on image signals from the image pickup device. This section acquires the distance information based on parallax between a first image based on a light flux having passed a first region of an exit pupil, and a second image based on a light flux having passed a second region of the exit pupil. The optical system is configured such that parallax of an object existing at a predetermined distance is smaller than parallax of an object existing at a shorter distance than the predetermined distance.

Abstract: A multi-dimensional task facial beauty prediction method and system, and a storage medium are disclosed. The method includes the steps of: at a training phase, using first facial images to optimize a shared feature extraction network for extracting shared features and to train a plurality of sub-task networks for performing facial beauty classification tasks; at a testing phase, extracting shared features of second facial images; inputting the shared features to the trained plurality of sub-task networks; and obtaining a first beauty prediction result based on first output results of the plurality of sub-task networks.

Abstract: Dictionary learning method and means for zero-shot recognition can establish the alignment between visual space and semantic space at category layer and image level, so as to realize high-precision zero-shot image recognition. The dictionary learning method includes the following steps: (1) training a cross domain dictionary of a category layer based on a cross domain dictionary learning method; (2) generating semantic attributes of an image based on the cross domain dictionary of the category layer learned in step (1); (3) training a cross domain dictionary of the image layer based on the image semantic attributes generated in step (2); (4) completing a recognition task of invisible category images based on the cross domain dictionary of the image layer learned in step (3).

Abstract: A conformable sensor module may conform to skin of a user's face. The sensor module may include multiple piezoelectric strain sensors. The sensor module may measure mechanical strain of facial skin that occurs while the user makes facial gestures. To do so, the sensor module may take a time series of multiple measurements of strain of the user's facial skin at each of multiple locations on the user's face, while the user makes a facial gesture. The resulting spatiotemporal data regarding facial strain may be fed as an input into a trained machine learning algorithm. The trained machine learning algorithm may, based on this input, classify a facial gesture. A computer may determine content associated with the classification. The content may be outputted in audible or visual format. This may facilitate communication by patients with neuromuscular disorders who are unable to vocalize intelligible speech.

Abstract: A camera calibration includes; a camera configured to acquire a first forward image from a first viewpoint and a second forward image from a second viewpoint; an event trigger module configured to determine whether to perform camera calibration; a motion estimation module configured to acquire information related to motion of a host vehicle; a three-dimensional reconstruction module configured to acquire three-dimensional coordinate values based on the first forward image and the second forward image; and a parameter estimation module configured to estimate an external parameter of the camera based on the three-dimensional coordinate values.

Abstract: Provided are communication devices having adaptable features and methods for implementation. One device includes at least one adaptable component and a processor configured to detect an external cue relevant to operation of the at least one adaptable component, to determine a desired state for the at least one adaptable component corresponding to the external cue, and then to dynamically adapt the at least one adaptable component to substantially produce the desired state. One adaptable component comprises at least one adaptable speaker system. Another adaptable component comprises at least one adaptable antenna.

Abstract: An image processing device according to one aspect of the present disclosure includes: at least one memory storing a set of instructions; and at least one processor configured to execute the set of instructions to: receive a visible image of a face; receive a near-infrared image of the face; adjust brightness of the visible image based on a frequency distribution of pixel values of the visible image and a frequency distribution of pixel values of the near-infrared image; specify a relative position at which the visible image is related to the near-infrared image; invert adjusted brightness of the visible image; detect a region of a pupil from a synthetic image obtained by adding up the visible image the brightness of which is inverted and the near-infrared image based on the relative position; and output information on the detected pupil.

Abstract: An image processing device according to one aspect of the present disclosure includes: at least one memory storing a set of instructions; and at least one processor configured to execute the set of instructions to: receive a visible image of a face; receive a near-infrared image of the face; adjust brightness of the visible image based on a frequency distribution of pixel values of the visible image and a frequency distribution of pixel values of the near-infrared image; specify a relative position at which the visible image is related to the near-infrared image; invert adjusted brightness of the visible image; detect a region of a pupil from a synthetic image obtained by adding up the visible image the brightness of which is inverted and the near-infrared image based on the relative position; and output information on the detected pupil.

Abstract: An image processing device according to one aspect of the present disclosure includes: at least one memory storing a set of instructions; and at least one processor configured to execute the set of instructions to: receive a visible image of a face; receive a near-infrared image of the face; adjust brightness of the visible image based on a frequency distribution of pixel values of the visible image and a frequency distribution of pixel values of the near-infrared image; specify a relative position at which the visible image is related to the near-infrared image; invert adjusted brightness of the visible image; detect a region of a pupil from a synthetic image obtained by adding up the visible image the brightness of which is inverted and the near-infrared image based on the relative position; and output information on the detected pupil.

Abstract: A detachable remote controller and a remote controlling method of controlling an air conditioner of an autonomous vehicle are provided. The detachable remote controller may be configured to control the air conditioner to be detachable from a console box or a front console box by a detachment button.

Abstract: An image processing device according to one aspect of the present disclosure includes: at least one memory storing a set of instructions; and at least one processor configured to execute the set of instructions to: receive a visible image of a face; receive a near-infrared image of the face; adjust brightness of the visible image based on a frequency distribution of pixel values of the visible image and a frequency distribution of pixel values of the near-infrared image; specify a relative position at which the visible image is related to the near-infrared image; invert adjusted brightness of the visible image; detect a region of a pupil from a synthetic image obtained by adding up the visible image the brightness of which is inverted and the near-infrared image based on the relative position; and output information on the detected pupil.