Abstract: A method of operating a three-dimensional object printer to form printed images on a surface of an object with increased color resolution includes generating a plurality of low-precision tone reproduction curves (TRCs) from a plurality of high-precision color conversion entries that are modified by a plurality of values in a one-to-one correspondence to the TRCs. The method further comprises generating modified contone image and halftone image data for each plane using one of the low-precision TRCs and forming the image from multiple printed layers of ink corresponding to the plurality of planes.

Abstract: The present disclosure relates to systems and computer-implemented methods for obtaining both high-resolution red-green-blue (RGB) data and other data of an image-bearing surface using a single sensor array. The technique includes obtaining, using a sensor array configured to obtain measurements of M?4 different spectral sensitivity responses per output pixel at low resolution, spectrophotometric data representing a plurality of output pixels representing the image-bearing surface, determining, using at least one electronic processor and based on the spectrophotometric data, high-resolution RGB data representing the image-bearing surface, determining, using at least one electronic processor and based on the spectrophotometric data, additional data representing a plurality of output pixels representing the image-bearing surface, and outputting the high-resolution RGB data and the additional data.

Abstract: A printer compensates for variations in ejected material drop volumes occurring during production of the layers for the formation of an object in a three-dimensional printer. The printer includes an optical sensor that generates topographical and measurement data of each layer of the object after each layer is printed. Differences in height between columns of material being formed by the ejectors in the printhead are identified with reference to the data produced by the sensor and raster data used to operate the printhead are modified adjust the formation of a next layer in the object.

Abstract: Methods and systems for the in-situ creation of a halftone noise screen layer by layer. Each layer produced is a white noise uniform distributed screen, statistically similar to one generated by a uniform noise function. The generation of each layer, however, is driven by a screen state which is an error based metric on the mean screen threshold. The set of screens produced are not independent of each other; adjacent layers are negatively correlated, while non-adjacent layers are completely uncorrelated. The result of this screen creation is that for any color the variation of coverage across the viewed surface is smaller than the variation produced by randomly generated screen planes. The algorithm is computationally inexpensive and eliminates the need to store multiple screens in memory.

Abstract: Block-based motion estimation of video compression estimates the direction and magnitude of motion of objects in the scene in a computationally efficient manner and accurately predicts the optimal search direction/neighborhood location for motion vectors, A system can Include a motion detection module that detects apparent motion in the scene, a motion direction and magnitude prediction module that estimates the direction and magnitude of motion of the objects detected to he in motion by the motion detection module, and a block-based, motion estimation module that performs searches in reduced neighborhoods of the target block according to the estimated motion by the motion direction and magnitude prediction module and only for the blocks determined to be in motion by the motion detection module. The Invention is particularly well suited for stationary traffic cameras that monitor roads and highways for traffic law enforcement purposes.

Abstract: Methods and systems for determining an edge pixel as a function of both the local video and the spatial location. Several logical gating functions, which are solely mappings of image position, are generated. Edges are marked only at locations where the gating function is true (e.g., or active) and not at other image locations. In order for a pixel to be tagged as an edge pixel, both its surrounding pixels values must be detected as an edge and the gating function must be active. Each gate output can be determined by employing either the image pixel count or the image scanline count. Different gating functions can be associated with different edge types to ensure the edge modulation pattern occurs orthogonal to the edge direction.

Abstract: The method facilitates efficient motion estimation for video sequences captured with a stationary camera with respect to an object. For video captured with this type of camera, a main cause of changes between adjacent frames corresponds to object motion. In this setting the output from the motion compensation stage is the block matching algorithm describing the way pixel blocks move between adjacent frames. For video captured with cameras mounted on moving vehicles (e.g. school buses, public transportation vehicles and police cars), the motion of the vehicle itself is the largest source of apparent motion in the captured video. In both cases, the encoded set of motion vectors is a good descriptor of apparent motion of objects within the field of view of the camera.

Abstract: A printer compensates for variations in ejected material drop volumes occurring during production of the layers for the formation of an object in a three-dimensional printer. The printer includes an optical sensor that generates topographical and measurement data of each layer of the object after each layer is printed. Differences in height between columns of material being formed by the ejectors in the printhead are identified with reference to the data produced by the sensor and raster data used to operate the printhead are modified adjust the formation of a next layer in the object.

Abstract: Methods, systems and processor-readable media for determining, post training, which locations of a classifier window are most significant in discriminating between class and non-class objects. The important locations can be determined by calculating the mean and standard deviation of every pixel location in the classifier context for both the positive and negative samples of the classifier. Using a combination of t-scores and mean differences, the importance of all pixel locations in the classifier score can be rank ordered. A sufficient number of pixel locations can then be selected to achieve a detection rate close enough to the full classifier for a particular application.

Abstract: When estimating distance to an object in an image using a single camera, data acquired by an onboard accelerometer is analyzed to determine camera speed as the user takes a video of the object of interest. The compression that results during video processing is used to derive motion vectors for the object of interest in the scene. The motion vectors have an opposite direction to the camera motion and a magnitude that is a function of the unknown object distance and a known magnification level. The object distance is calculated from the estimated velocity and motion vector magnitude.

Abstract: A method, non-transitory computer readable medium, and apparatus for applying a cost function to calculate an optimal value of a single variable for a calibration application are disclosed. For example, the method identifies the single variable of the calibration application, applies a cost function to the single variable, wherein the cost function comprises a function of a fit error plus a regularization weighting parameter (?) times a regularization cost, calculates the optimal value of the single variable based upon the cost function that is applied to the single variable and uses the optimal value of the single variable to generate a calibration matrix used for the calibration application.

Abstract: A method, non-transitory computer readable medium, and apparatus for calibrating a device using augmented data are disclosed. For example, the method measures k spectral values of each patch for a first plurality of patches generated by the device and a second plurality of patches generated by the reference device, creates a first augmented data set by selecting a delta (?), wherein the first augmented data set comprises the ? applied k times to each one of the k spectral values of each one of the first plurality of patches, initializes initializing a function to create a second augmented data set for the reference device, solves the function to obtain a matrix of calibration values of the device that is based upon the first augmented data set and the second augmented data set and calibrates the device using the matrix of calibration values.

Abstract: What is disclosed is a handheld device having at least one illuminator for projecting source light and a video camera for capturing images of a region of interest of a subject being monitored for a desired physiological function. The handheld device is positioned such that light reflected off the subject's region of interest is received by a sensor. A determination is then made as to how a physiological signal extracted from video images captured by the video camera can be improved by an adjustment to the illuminator with respect to intensity, spectrally, spatially, and/or temporally, to improve accuracy of a measurement of a desired physiological function. The illuminator is adjusted and video images of a region of interest are captured by the video camera and processed to extract a physiological signal corresponding to that physiological function. That signal is used to monitor the desired physiological function. Various embodiments are disclosed.

Abstract: A computer-based method for generating a compressed data stream, including using a specially programmed computer to: access a first compressed data stream including a first plurality of sequentially arranged frames including respective compressed frame data; access a second compressed data stream including a second plurality of sequentially arranged frames including respective compressed frame data; compare respective compressed data for sequentially matched pairs of frames in the first and second pluralities of frames; select, based on the comparison, common and unique portions in the first data stream; and select, based on the comparison, first and second portions in the second data stream, matched with the common and unique portions, respectively, in the sequence. The first portion has respective compressed frame data equal to the respective compressed frame data for the common portion.

Abstract: A computer-based apparatus including a computer including a processor arranged to select a first video regarding a medical condition; create a second video including segments from the first video; transmit the second video for viewing by qualified medical personnel; receive input from the personnel; based on the input confirm accuracy of a first segment or modify a second segment or delete a third segment; create, from the second video, by at least including the first or second segment or deleting the third segment; transmit the third video for viewing by viewers; receive a respective response from each viewer identifying a respective fourth segment of the third video deemed relevant to the medical condition or enjoyable; create a fourth video including at least a portion of the respective fourth segments; and store the fourth video for inclusion in a video regarding the medical condition.

Abstract: A computer-based method for presenting customized medical information, including: storing, in at least one memory element of at least one computer, computer readable instructions; and executing, using at least one processor for the at least one computer, the computer readable instructions to: receive an input identifying a patient; access electronic medical-related records (EMRRs) for the patient; formulate, based on data in the EMRRs, a query requesting information/input from the patient; transmit the query for display on a first graphical user interface (GUI) device; receive, in response to the query, an input providing the information/input; generate a video including at least one video segment related to the information/input; and transmit the video for display on the first GUI device or on a second GUI device.

Abstract: Methods, systems and processor-readable media for determining, post training, which locations of a classifier window are most significant in discriminating between class and non-class objects. The important locations can be determined by calculating the mean and standard deviation of every pixel location in the classifier context for both the positive and negative samples of the classifier. Using a combination of t-scores and mean differences, the importance of all pixel locations in the classifier score can be rank ordered. A sufficient number of pixel locations can then be selected to achieve a detection rate close enough to the full classifier for a particular application.

Abstract: A computer-based method for presenting medical information, including: storing, in at least one memory element of at least one computer, computer readable instructions; and executing, using at least one processor for the at least one computer, the computer readable instructions to: receive an input selecting a medical condition; identify a portion of an electronic medical record (EMR) for the patient, specific to the patient, related to the medical condition; generate a video including at least one video segment with the portion of the EMR; designate at least one first level of access for the at least one video segment; and control access to the at least one video segment according to the at least one first level of access.

Abstract: As set forth herein, computer-implemented methods and systems facilitate detecting non-uniformities (e.g., streaks or other defects) in a scanned image, and correcting the non-uniformities while accounting for geometric distortion therein. For instance a scanned image may include a light streak (e.g., higher L* values than expected) down the page at a given distance from a page edge. Paper shrinkage may also cause the image to be magnified relative to the page. Correction values (e.g., L* knockdown values or the like) are generated to bring the non-uniform L* values down to a darker level. To account for the magnification of the image, the correction values are electronically registered to uniformity data for the page, and applied at the correct location to account for the magnification. The corrected image is then printed by a marking device.

Abstract: A method of operating a printer includes identifying a region of a print medium located between marks formed by a first plurality of inkjets in the printer and an edge of the print medium. The printer activates a second plurality of inkjets to print ink drops into the region during a printing operation. The method enables full-bleed or near full-bleed printing for different media sizes.