The present invention relates to a system and a method of monitoring a queue that allow for exactly recognizing objects in a queue and exactly monitoring the situation of the queue by tracking the recognized objects, using depth detection device such as a TOF camera. According to the present invention, it is possible to map a space and an image using depth information provided through a depth detection device without mapping a 3D space to an image taken by a camera and exactly measure the actual heights of objects from the ground using depth information of the objects and the background and initial parameters of the depth detection device so that desired objects can be exactly detected and recognized in filtering. Accordingly, the system can be less complicated. Further, waiting time is assigned to recognized objects so that they can be easily tracked.

Two system-level bronchoscopy guidance solutions are presented. The first incorporates a global-registration algorithm to provide the physician with updated navigational and guidance information during bronchoscopy. The system can handle general navigation to a region of interest (ROI), as well as adverse events, and it requires minimal commands so that it can be directly controlled by the physician. The second solution visualizes the global picture of all the bifurcations and their relative orientations in advance and suggests the maneuvers needed by the bronchoscope to approach the ROI. Guided bronchoscopy results using human airway-tree phantoms demonstrate the potential of the two solutions.

A method, computer system and computer-readable medium for determining a surface pattern for a target object using an evolutionary algorithm such as a genetic algorithm, a parameterized texture-generating function, a 3D renderer for rendering images of a 3D model of the target object with a texture obtained from the parameterized texture generating function, and an object recognition model to process the images and predict whether or not the image contains an object of the target object's type or category. Sets of parameters are generated using the evolutionary algorithm and the accuracy of the object recognition model's prediction of the images with the 3D model textured according to each set of parameters is used to determine a fitness score, by which sets of parameters are scored for the purpose of obtaining future further generations of sets of parameters, such as by genetic algorithm operations such as mutation and crossover operations. The surface pattern is obtained based on the images of the 3D model rendered with a surface texture generated according to a high-scoring set of parameters.

A computer-implemented method and device are directed to a geometric analysis of a result of a manufacturing process or of a simulation of a manufacturing process in which a part (14) is formed from a planar sheet of material by means of a tool (1). The result comprises result model, being a computer based representation of the part after the (real or simulated) manufacturing process. The method comprises the computer-implemented steps of retrieving the result model (2); retrieving a reference model (3), the reference model being a mesh based model derived from a CAD model representing a target shape of the part or a tool shape; determining an improved result model (33) by transforming the mesh of the reference model (3) to match the shape of the result model (2); performing a geometric analysis on the basis of the improved result model (33).

A simultaneous localization and mapping system for a motor vehicle is disclosed and includes a plurality of sensors disposed within a vehicle operable to detect an object proximate the vehicle and generate a plurality of data points representing sensor returns corresponding to the detected objects surrounding the vehicle, and a controller configured to receive the data points representing the sensor returns of the detected objects surrounding the vehicle, to define an occupancy grid based on the data points and to generate vehicle operating instructions based on the defined occupancy grid, wherein the controller is configured to define at least one geometric anchor from the detected data points and localizing the vehicle based on the at least one geometric anchor.

Systems and techniques are provided for recalibrating cameras in a real space for tracking puts and takes of items by subjects. The method includes first processing one or more selected images selected from a plurality of sequences of images received from a plurality of cameras calibrated using a set of calibration images that were used to calibrate the cameras previously. The first processing includes a process step to extract a plurality of feature descriptors from the images. The first processing also includes a process step to match one or more feature descriptors as extracted from the selected images with feature descriptors extracted from the set of calibration images that were used to calibrate the cameras previously. The feature descriptors correspond to points located at displays or structures that remain substantially immobile.

Disclosed are computer-readable devices, systems and methods for generating a model of a clothed body. The method includes generating a model of an unclothed human body, the model capturing a shape or a pose of the unclothed human body, determining two-dimensional contours associated with the model, and computing deformations by aligning a contour of a clothed human body with a contour of the unclothed human body. Based on the two-dimensional contours and the deformations, the method includes generating a first two-dimensional model of the unclothed human body, the first two-dimensional model factoring the deformations of the unclothed human body into one or more of a shape variation component, a viewpoint change, and a pose variation and learning an eigen-clothing model using principal component analysis applied to the deformations, wherein the eigen-clothing model classifies different types of clothing, to yield a second two-dimensional model of a clothed human body.

A method includes identifying a real-world object in a scene viewed by a camera of a user device, matching the real-world object with a tagged object based at least in part on image recognition and a sharing setting of the tagged object, the tagged object having been tagged with a content item, providing a notification to a user of the user device that the content item is associated with the real-world object, receiving a request from the user for the content item, and providing the content item to the user. A computer readable storage medium stores one or more computer programs, and an apparatus includes a processor-based device.

In a method for determining force applied to an ultrasonic sensor, ultrasonic signals are emitted from an ultrasonic sensor. A plurality of reflected ultrasonic signals from a finger interacting with the ultrasonic sensor is captured. A first data based at least in part on a first reflected ultrasonic signal of the plurality of reflected ultrasonic signals is compared with a second data based at least in part on a second reflected ultrasonic signal of the plurality of reflected ultrasonic signals. A deformation of the finger during interaction with the ultrasonic sensor is determined based on differences between the first data based at least in part on the first reflected ultrasonic signal and the second data based at least in part on the second reflected ultrasonic signal. A force applied by the finger to the ultrasonic sensor is determined based at least in part on the deformation.

A system for managing treatment of a person in need of emergency assistance is provided. The system includes at least one camera configured to be mounted to a person in need of medical assistance. The system also includes an image processing device, which can be configured to receive images captured by the at least one camera and to process the images to generate a representation of a rescue scene surrounding the person. The system further includes an analysis device. The analysis device can be configured to determine a characteristic associated with a resuscitation activity based on analysis of the representation of the rescue scene generated by the image processing device. A computer-implemented method for managing treatment of a person in need of emergency assistance is also provided.