In one aspect, the present disclosure related to a method for modifying a beacon light source for use in a light-based positioning system. In some embodiments, the method includes selecting a modulation scheme for the light source, determining a duty cycle for the light source based on the modulation scheme, the duty cycle having a proportion of time the light source is in an on state and a corresponding proportion of time the light source is in an off state, the proportion of time the light source is in an off state resulting in reduced luminosity of the light source, and supplying additional power to the light source to compensate for the reduced luminosity of the light source by the duty cycle.

Character recognition is described. In one embodiment, it may use matched sequences rather than character shape to determine a computer-legible result.

An apparatus for detecting an interfacing region in a depth image detects the interfacing region based on a depth of a first region and a depth of a second region which is an external region of the first region in a depth image.

An article pickup apparatus configured so as to measure surface positions of articles randomly piled on the three-dimensional space using a three-dimensional measurement instrument to acquire position information of three-dimensional points, determine a connected set made by connecting three-dimensional points present in the vicinity of each other among the three-dimensional points, and identify a position and posture of an article based on the position information of three-dimensional points belonging to the connected set. The posture of the article is identified by calculating a main component direction of the connected set by applying main component analysis to the three-dimensional points belonging to the connected set and identifying the posture of the article based on the main component direction.

Automatic threat detection of volumetric computed tomography (CT) data, including: extracting at least one 3-D object from the volumetric CT data; constructing a feature vector for each of the at least one 3-D objects; and classifying each 3-D object as one of a threat or benign object using the feature vector and a set of truth threat and benign objects.

An image processing apparatus includes a corresponding region connecting unit that connects regions that depict the same target between a series of images captured in time series, thereby sets at least one connected region; a connected region feature data calculation unit that calculates feature data of the connected region; a digest index value calculation unit that calculates a digest index value corresponding to a degree at which the target depicted in the series of images is aggregated in each image of the series of images, based on the feature data; and a digest image detector that detects a digest image based on the digest index value.

Various embodiments disclosed herein are directed to methods of capturing Vehicle Identification Numbers (VIN) from images captured by a mobile device. Capturing VIN data can be useful in several applications, for example, insurance data capture applications. There are at least two types of images supported by this technology: (1) images of documents and (2) images of non-documents.

Systems and methods for extracting text from images rendered on a display screen, the method comprising capturing a color image rendered on a display screen; and transforming the color image to binary color image, preserving text-like graphic components and filtering out non-text-like graphical components. The transforming comprises scanning one or more areas of the color image; and detecting continuous bi-tonal regions in the scanned one or more areas, wherein the continuous bi-tonal regions have large variances.

Techniques are disclosed for segmenting an image frame of a live camera feed. A biasing scheme can be used to initially localize pixels within the image that are likely to contain the object being segmented. An optimization algorithm for an energy optimization function, such as a graph cut algorithm, can be used with a non-localized neighborhood graph structure and the initial location bias for localizing pixels in the image frame representing the object. Subsequently, a matting algorithm can be used to define a pixel mask surrounding at least a portion of the object boundary. The bias and the pixel mask can be continuously updated and refined as the image frame changes with the live camera feed.

According to one embodiment, a data processor includes an image acquisition module, a degradation evaluation module, a first output module and a display module. The first output module is configured to output a first trigger for performing a process for detecting the image area when the possibility is high as a result of evaluation by the degradation evaluation module, the first output module is configured to output a command for displaying the image as it is on a display when the possibility is low as a result of the evaluation.