Abstract: A system and method is disclosed to reduce variation of the clinical decision making process when an image reporting and data system (IRADS) for medical diagnosis is used. Image reporting and data systems provide guidelines for an operator to identify images as belonging to one of a number of categories and specific clinical actions are then recommended based upon such categories. Some clinical actions such as biopsies may be recommended by IRADS even when they are not necessary. The present inventive concept is configured to utilize a Computer-Assisted Diagnosis (CAD) system that is specifically programmed to minimize discrepancies between the recommended clinical actions of an individual or specific group of experts using the standard IRADS process and the optimum clinical actions based on correlation with biopsy proven data. The resulting CAD system reduces the number of unnecessary clinical actions such as biopsies based on the operator's error profile.

Abstract: Methods and systems may provide for technology to identify one or more light sources. The technology generates a light reflection profile associated with the one or more light sources. The light reflection profile is to predict one or more of reflection characteristics of light emitted from the one or more light sources or identify at least one characteristic of the one or more light sources. The technology further one or more of adjusts a first image based on the light reflection profile or identify one or more characteristics of a first object in the first image based on the light reflection profile.

Abstract: The present disclosure discloses a method and a device for acquiring figure parameters of a user. The method includes the following steps: acquiring a photo of the user; processing the photo to generate a profile of the user; taking a parameterized three-dimensional human body model with a projection profile consistent with the profile of the user as a target parameterized three-dimensional human body model; and taking figure parameters of the target parameterized three-dimensional human body model as figure parameters of the user.

Abstract: Provided is an apparatus for identifying pharmaceuticals, including an identifier configured to perform at least one of first identification of a medicine based on an image of the medicine in a pharmaceutical package or second identification of the medicine based on a spectrum of the medicine; a verifier configured to verify an error in dispensing the pharmaceutical package based on comparison of a result of the at least one of the first identification and the second identification with a prescription upon which the pharmaceutical package is prepared; and a controller configured to, based on a result of the first identification being unsuccessful, control to acquire the spectrum of the medicine and perform the second identification of the medicine.

Abstract: An image signal indicative of the head pose of a person in a scene, as provided by a camera may be processed by estimating, as a function of the image signal received by the image sensor, the head pose of the person. A view frustum of the person may be generated from the estimated head pose. A visual frustum of attention or VFOA of the person may be generated from the view frustum. From the visual frustum, a predicted movement trajectory of the person or an estimated scene attention map as a function of the visual frustum of attention, preferably by identifying in the attention map at least one object to be controlled may be generated.

Abstract: Provided are a method and a device for detecting a flying spot on an edge of a depth image and an electronic device. The method includes the following. Image data of the depth image is collected. A normal vector of each pixel of the depth image is calculated according to the image data. An edge point of the depth image is calculated according to the normal vector with an edge detection operator. The edge point is taken as a seed point, and whether the seed point satisfies a growing condition is determined. Upon determining that the seed point satisfies the growing condition, the seed point is determined as the flying spot.

Abstract: Systems and methods are provided for generating sets of candidates comprising images and places within a threshold geographic proximity based on geographic information associated with each of the plurality of images and geographic information associated with each place. For each set of candidates, the systems and methods generate a similarity score based on a similarity between text extracted from each image and a place name, and the geographic information associated with each image and each place. For each place with an associated image as a potential match, the systems and methods generate a name similarity score based on matching the extracted text of the image to the place name, and store an image as place data associated with a place based on determining that the name similarity score for the extracted text associated with the image is higher than a second predetermined threshold.

Abstract: A driver assistance system detects lane markings in a perspective image of a road in front of a vehicle. The driver assistance system extracts a plurality of features, in particular lane markings, from the perspective image for generating a set of feature coordinates, in particular lane marking coordinates. The system generates a plurality of pairs of feature coordinates, each pair defining a straight line, and estimates a lane curvature on the basis of a subset of the pairs of feature coordinates. For each pair a straight line defined by the pair intersects a predefined target portion of the perspective image, the predefined target portion including a plurality of possible positions of a vanishing point.

Abstract: There is provided an ultrasound device comprising: ultrasound transducer(s), memory storing code, hardware processor(s) coupled to the ultrasound transducer(s) and the memory for executing stored code comprising: activating the transducer(s) for simultaneously transmitting at least one line with a predefined focus width, and receiving an indication of a plurality of narrow-focused received lines, inputting the indication of the narrow-focused received lines into a convolutional neural network (CNN) trained on pairs of ultrasound imaging data capturing rapid motion of the certain tissue of sample patient(s), including a single-line ultrasound imaging data captured based on a single line in response to a transmitted single narrow-focused pulse, and a multiple-line ultrasound imaging data captured based on receiving narrow-focused lines in response to simultaneously transmitted at least one line, outputting adjusted narrow-focused received lines, and computing an adjusted ultrasound image according to the adjust

Abstract: A method for acquiring queuing information includes: acquiring a location and a height of each pixel point in a first video image in a world coordinate system, wherein the first video image is a video image captured by a video camera at a queue area; determining a behavior state of each human body at the area based on the location and the height of each pixel point; and acquiring queuing information based on the behavior state of each human body at the area at a current time.

Abstract: Systems and methods for processing distribution items having unique identifiers affixed thereon. The unique identifiers can include computer readable codes and written alphanumeric strings generated by a user. A system receives the unique identifier and requests payment information from a user, and stores an association between the unique identifier and the payment information, and processes the item according to the payment information.

Abstract: Embodiments of the disclosure provide systems and methods for identifying a curb based on 3-D sensor data. The system includes a communication interface configured to receive the 3-D sensor data captured of a scene by a sensor equipped on the vehicle as the vehicle travels along a trajectory. The system further includes a storage configured to store the 3-D sensor data. The system also includes at least one processor. The at least one processor is configured to create a 2-D mesh representation of the 3-D sensor data. The at least one processor is further configured to segment the 2-D mesh representation into a plurality of surfaces. The at least one processor is further configured to identify boundary mesh cells connecting each pair of adjacent surfaces wherein an altitude difference between the pair of adjacent surfaces is higher than a threshold and select mesh cells that align with a direction of the trajectory as corresponding to the curb.

Abstract: A method is disclosed for detecting raised pavement markers in an environment of a vehicle by a camera system. The method includes capturing at least one first image of at least one first part of the environment by at least one first camera of the camera system and analyzing the at least one first image and determining whether at least one first pavement marker is present in the environment in dependency of a result of the analysis of the at least one first image. The method further includes capturing at least one second image of at least one second part of the environment by at least one second camera of the camera system and analyzing the at least one second image and determining whether the at least one first or at least one second pavement marker is present in the environment in dependency of a result of the analysis.

Abstract: Systems and methods for tracking persons by utilizing imagery data captured by a plurality of on-road vehicles. A large number of different persons appear in a corpus of imagery data collectively captured by a plurality of on-road vehicles. An initial and limited-accuracy model of one of the persons is used to search and detect visual occurrences of that person in the corpus of imagery data, thereby starting to track that person, in which such search is limited at first to a confined geo-temporal range, in order to limit the number of different persons over which the initial and limited-accuracy model has to search and detect that person. When the visual occurrences of that person are found, a better model can be constructed, which can now be used to expand the geo-temporal range over which yet additional visual occurrences of that person are found and used to better track that person.

Abstract: A visual fatigue recognition method, a visual fatigue recognition device, a virtual reality apparatus and a storage medium. The visual fatigue recognition method includes acquiring an eye image of a user; acquiring a visual feature from the eye image, and calculating a visual fatigue value according to the visual features according to the visual feature a visual fatigue value; comparing the visual fatigue value with a fatigue grade threshold values and determining a the visual fatigue grade based on the comparison result; and allowing the visual fatigue grade to be used to generate a corresponding alert signal. The visual fatigue recognition method helps to protect the user's eyesight.

Abstract: A hardware accelerator for computing integral image values of an image is provided that includes a plurality of row computation components configurable to operate in parallel to compute row sum values of respective rows of a row block of the image. The hardware accelerator is further configured to compute integral image values for the row block using the row sum values and block pivots.

Abstract: The present technology enables viewing, analyzing, and improve a variety of motions for a subject by facilitating comparison to a target video. Motions can include activities such as walking, athletic activities, and educational activities. The comparison can be accomplished by adjusting spatial aspects of a target and subject video to match. The comparison can also include identifying synchronization points, between the videos, that identify a temporal correspondence between of motions or objects in the videos and adjusting playback of one or more segments in the videos so corresponding synchronization points are displayed at the same time during playback. A version of one of the videos can be provided as an outline or as partially transparent, which can be overlaid with the other video to create a video combination for playback.

Abstract: Systems and methods are provided for imaging that demonstrably outperform previous approaches (especially compressive sensing based approaches). Embodiments of the present disclosure provide and solve an imaging cost function via a stochastic approximation approach. By doing so, embodiments of the preset disclosure provide a significant means of generalization and flexibility to adapt to different application domains while being competitive in terms of computational complexity.

Abstract: A display apparatus includes: a display; a memory storing one or more instructions; and a processor configured to execute the one or more instructions stored in the memory to: select an image to be displayed on the display, classify a category of the image, obtain semantic information of the image according to the category of the image, by using at least one neural network, obtain emotion information corresponding to the image by analyzing the image; determine an audio to be output together with the image, based on the semantic information of the image and the emotion information corresponding to the image, and output the audio while displaying the image.

Abstract: In some embodiments, apparatuses and methods are provided herein useful to assess quality of produce at a facility. In some embodiments, there is provided a system for assessing quality of produce at a facility including a produce assessment station configured to provide a staging area to determine a quality classification of a target produce. By one approach, the produce assessment station includes a fixed surface; a rotatable base, a first arm comprising a microphone; a second arm comprising a tapping device; and a local control circuit. In one configuration, the local control circuit configured to rotate the rotatable base at a particular angle and at a particular time interval and receive audio data from the microphone. By one approach, the system includes a plurality of sensors and a portable device configured to provide a signal to the local control circuit to initiate the quality classification of the target produce.