Abstract: A method for adjusting the proportional gain value of a proportional controller for use in an unmanned underwater vehicle. The invention includes the steps of: recording at an unmanned underwater vehicle a captured image in the direction of travel; applying a first filter to the captured image; calculating a first distance from each pixel in the captured image to a specified target color; finding the selected pixel from the captured image with the minimum distance from the specified target color, normalizing the image coordinates of the selected pixel into normalized image coordinates; passing the normalized image coordinates as an error value to the proportional controller; calculating a rate of error at the proportional controller; updating the proportional gain according at the proportional controller; and applying a control signal at the proportional controller.

Abstract: A communication assembly is disclosed. The communication assembly includes a radio frequency (RF) module configured to obtain RF data from an antenna of a vehicle, a camera module configured to obtain image data of a scene exterior to the vehicle, and a communication unit, operatively connected to the RF module and the camera module, configured to embed the RF data in a first frequency band of an analog signal, embed the image data in a second frequency band of the analog signal, and transmit, via a single physical medium communication link, the analog signal to a vehicle communication unit of the vehicle. The vehicle communication unit is configured to demodulate the analog signal to retrieve the RF data and the image data for providing, to an electronic control module (ECU) of the vehicle.

Abstract: An apparatus includes a memory and a circuit. The memory may be configured to store an input image having a plurality of color channels. The circuit may be configured to (i) calculate a plurality of average values of each of the color channels in a plurality of windows around each of a plurality of pixel locations in the input image, (ii) calculate a plurality of feature values based on the average values using a feature extraction process and (iii) generate a plurality of likelihood values of a specific color at each of the pixel locations using the feature values in a color classification process.

Abstract: A time of flight (ToF) measuring apparatus and an image processing method for reducing blur of a depth image in the ToF measuring apparatus are provided. The apparatus senses infrared (IR) light reflected by a subject and incident via an optical shutter, models a spread characteristic of the IR light based on an intensity distribution of the sensed IR light, and acquires a sharpening filter by using the modeled spread characteristic.

Abstract: A method for determining a loading recommendation for a vehicle. The method involves object dimensions of objects with which the vehicle needs to be loaded being determined automatically using an optical capture apparatus, and an arrangement of the objects in a cargo space of the vehicle being determined on the basis of the object dimensions of the objects and a cargo space dimension of the cargo space. The arrangement of the objects in the cargo space is output as a loading recommendation.

Abstract: A system that detects the number of persons waiting in a queue includes an image acquisition unit that acquires a captured image, an analysis unit that detects a person from the captured image, and a decision unit that, when a region in which no person is detected in the captured image has an area greater than or equal to a predetermined area, sets the number of persons detected from the captured image as the number of persons waiting in the queue.

Abstract: Systems and methods for detecting, decoupling and quantifying unresolved signals in trace signal data in the presence of noise with no prior knowledge of the signal characteristics (e.g., signal peak location, intensity and width) of the unresolved signals. The systems and methods are useful for analyzing any trace data signals having one or multiple constituent signals, including overlapping constituent signals, and particularly useful for analyzing data signals which often contain an unknown number of constituent signals with varying signal characteristics, such as peak location, peak intensity and peak width, and varying resolutions and varying amounts of asymmetry. A general signal model function is assumed for each unknown, constituent signal in the trace signal data.

Abstract: Disclosed are methods, apparatus and systems for real-time gesture recognition. One exemplary method for the real-time identification of a gesture communicated by a subject includes receiving, by a first thread of the one or more multi-threaded processors, a first set of image frames associated with the gesture, the first set of image frames captured during a first time interval, performing, by the first thread, pose estimation on each frame of the first set of image frames including eliminating background information from each frame to obtain one or more areas of interest, storing information representative of the one or more areas of interest in a shared memory accessible to the one or more multi-threaded processors, and performing, by a second thread of the one or more multi-threaded processors, a gesture recognition operation on a second set of image frames associated with the gesture.

Abstract: The present disclosure provides an image merging method. The image merging method includes the following step. First, the calibration unit is provided, wherein a calibration device of the calibration unit includes a plurality of known characteristic information. The calibration device is captured. A conversion relationship is created. A relationship of positions of the images is analysis according to the conversion relationship. The images are formed. In additional, an image merging device is provided.

Abstract: Described is a system for detecting salient objects in images. During operation, the system maps an input image into a frequency domain having a spectral magnitude. The spectral magnitude is replaced with weights from a weight matrix W. The frequency domain is then transformed with the weights to a saliency map in the image domain, the saliency map having pixels with pixel values. A squaring operation is then performed on the saliency map by squaring the pixel values to generate a pixel-value altered saliency map. A final saliency map is generated by filtering the pixel-value altered saliency map. A number of devices may then be operated based on the saliency map.

Abstract: An authentication apparatus comprises a prism member, an imaging unit, and a visible light source configured to radiate visible light to a living body. The prism member has a substantially trapezoidal shape with at least one side face thereof formed in an expanded shape from a living body authentication face against which an authentication portion of the living body is put, toward an imaging face that is parallel to the living body authentication face. The visible light source is disposed below the imaging face and near a side of an expanded side of the imaging face. The imaging unit is disposed below the imaging face.

Abstract: An authentication apparatus comprises a prism member, an imaging unit, and a visible light source configured to radiate visible light to a living body. The prism member has a substantially trapezoidal shape with at least one side face thereof formed in an expanded shape from a living body authentication face against which an authentication portion of the living body is put, toward an imaging face that is parallel to the living body authentication face. The visible light source is disposed below the imaging face and near a side of an expanded side of the imaging face. The imaging unit is disposed below the imaging face.

Abstract: An authentication apparatus comprises a prism member, an imaging unit, and a visible light source configured to radiate visible light to a living body. The prism member has a substantially trapezoidal shape with at least one side face thereof formed in an expanded shape from a living body authentication face against which an authentication portion of the living body is put, toward an imaging face that is parallel to the living body authentication face. The visible light source is disposed below the imaging face and near a side of an expanded side of the imaging face. The imaging unit is disposed below the imaging face.

Abstract: Techniques and systems are described to model and extract knowledge from images. A digital medium environment is configured to learn and use a model to compute a descriptive summarization of an input image automatically and without user intervention. Training data is obtained to train a model using machine learning in order to generate a structured image representation that serves as the descriptive summarization of an input image. The images and associated text are processed to extract structured semantic knowledge from the text, which is then associated with the images. The structured semantic knowledge is processed along with corresponding images to train a model using machine learning such that the model describes a relationship between text features within the structured semantic knowledge. Once the model is learned, the model is usable to process input images to generate a structured image representation of the image.

Abstract: An image processing method for obtaining a panoramic image includes obtaining a first image and a second image by a camera unit, and obtaining location information between the viewpoints of the first image and the second image by a gyro. First features of the first image and second features of the second image are obtained according to a feature-capturing algorithm when pixel brightness differences exceed a threshold. Predicted features in the second image are obtained by the location information, and predicted features that exceed a predetermined distance from the second features are discarded. A panorama image is obtained by combining the first image and the second image according to the first features and the selected second features.

Abstract: An optical evaluation workstation evaluates a virtual image distance of eyecup assemblies of a head mounted display (HMD). The workstation includes an eyecup assembly feed assembly configured to receive an eyecup assembly of an HMD. The eyecup assembly comprising an optics block rigidly fixed to an electronic display panel. The workstation includes a lens assembly positioned at a fixed distance from the eyecup assembly. The workstation includes a movable imaging sensor assembly positioned along the alignment axis and configured to capture one or more images of the one or more test patterns presented by the eyecup assembly when the imaging sensor assembly is at different positions. The optical evaluation workstation includes a control module configured to determine one or more virtual image distances of the eyecup assembly using the plurality of images captured by the imaging sensor assembly.

Abstract: An image processing apparatus has a selection unit configured to select at least a first region of interest from regions of interest set in an imaging target, an image obtainment unit configured to obtain a first image representing the imaging target, and a second image from an imaging apparatus that images at least part of the imaging target, an information obtainment unit configured to obtain information of an existence range, and a display control unit configured to add, to the first image, displays representing positions of set regions of interest, and when the second image contains the existence range of the selected region of interest, display the existence range of the selected region of interest on the second image, and when the second image contains the existence range of an unselected region of interest, hide the existence range information.

Abstract: An authentication apparatus comprises a prism member, an imaging unit, and a visible light source configured to radiate visible light to a living body. The prism member has a substantially trapezoidal shape with at least one side face thereof formed in an expanded shape from a living body authentication face against which an authentication portion of the living body is put, toward an imaging face that is parallel to the living body authentication face. The visible light source is disposed below the imaging face and near a side of an expanded side of the imaging face. The imaging unit is disposed below the imaging face.

Abstract: In some implementations, there is provided a method. The method may include receiving data characterizing a plurality of digital video frames; detecting a plurality of features in each of the plurality of digital video frames; determining, from the detected features, a local scale change and a translational motion of one or more groups of features between at least a pair of the plurality of digital video frames; and calculating a likelihood of collision. Related apparatus, systems, techniques, and articles are also described.

Abstract: Systems and method of determining one or more activities performed during video capture are presented herein. Information defining a video may be obtained. The information defining the video may include content information, metadata information, and/or other information. The content information may define visual content of the video and/or other content of the video. The metadata information may include tracking information and/or other information. The tracking information may locations of the capture device as a function of progress through the video. One or more activity types being performed by an entity moving with the capture device during the previous capture may be determined based on the tracking information. For example, a location graph may be generated from the tracking information. The location graph may be used to determine one or more activity types that were performed.