Abstract: Interactive non-uniformity correction (NC) and interactive intensity standardization (IS) require sample tissue regions to be specified for several different types of tissues. Interactive NC estimates the degree of non-uniformity at each voxel in a given image, builds a global function for non-uniformity correction, and then corrects the image to improve quality. Interactive IS includes two steps: a calibration step and a transformation step. In the first step, tissue intensity signatures of each tissue from a few subjects are utilized to set up key landmarks in a standardized intensity space. In the second step, a piecewise linear intensity mapping function is built between the same tissue signatures derived from the given image and those in the standardized intensity space to transform the intensity of the given image into standardized intensity. Interactive IS for MR images combined with interactive NC can substantially improve numeric characterization of tissues.

Abstract: Methods and systems for classifying a video include analyzing an image captured in each frame of the video file to identify one or more elements. Each element identified in the image of each frame is matched to a corresponding term defined in a vocabulary list. A number of frames within the video file in which each of the element that correspond to the term in the vocabulary list, appears, is determined. A vector is generated for the video file identifying each term in the vocabulary list. The vector is represented as a name-value pair with the name corresponding to the term in the vocabulary list and the value corresponding to number of frames in which the element matching the term appears in the video file.

Abstract: A method includes magnifying a pathology sample with a microscope to form magnified pathology images, and recording the magnified pathology images with a digital camera optically coupled to the microscope. The method also includes comparing the magnified pathology images to reference pathology images included in a pathology database to identify one or more regions of interest in the magnified pathology images. A user of the microscope is alerted to the one or more regions of interest in the magnified pathology images.

Abstract: A facial skin mask may be generated based on isolating a head part in a captured image, removing a first pixel that is indicative of non-skin from the head part in the captured image, and removing a second pixel that is indicative of having a high velocity from the head part in the captured image. Heart rate may be detected based on the change of color of the pixels of the generated facial skin mask.

Abstract: The invention relates to method of detecting elliptical structures (10) in an image (9), comprising: detecting circular arc-shaped structures (11) in the image (9) using a circle Hough transform (CHT) of the image (9), wherein a radius and a center point (12) are determined for each circular arc-shaped structure (11), identifying pairs of circular arc-shaped structures (11) consisting of two of the detected circular arc-shaped structures (11) with substantially equal radii, defining, for each one of these pairs, a search area (14) within the image (9) depending on the center points (12) of the respective pair of circular arc-shaped structures (11), searching in the search area (14) defined for any given pair of circular arc-shaped structures (11), for a pair of edges (16) connecting these two circular arc-shaped structures (11). The invention further relates to a device for detecting elliptical structures in an image.

Abstract: An image processing method is disclosed. The method comprises receiving from an imaging sensor input image data arranged in a plurality of pixel data rows corresponding to a grid of sensor pixels, and sampling the input image data to provide sampled image data having less pixel data rows. The method further comprises correcting image distortion in at least a portion of the sampled data.

Abstract: First extracting means of a processing unit, based on a brightness component and a color information component of a captured image separated by separating means, extract a candidate region using a first morphology processing based on the brightness component, and second extracting means of the processing unit extract a likelihood of a region from a color space composed of the brightness component and the color information component and perform a second morphology processing to generate a region-extracted image, which is displayed on the display device. In this case, the morphology processing including the smoothing filter processing is performed on an extracted candidate region and an extracted likelihood of the region.

Abstract: Facial approximation systems and methods for approximating the soft tissue profile of the skull of an unknown subject.

Abstract: One of the challenges in bringing computational imaging to a mass market is that computational imaging is inherently computationally expensive. The computational challenges associated with computational imaging are apparent with the computation of a histogram of gradient descriptors. Oftentimes, generating a histogram of gradient descriptors involves computing gradients of an image, binning the gradients according to their orientation, and, optionally, normalizing the bins using a non-linear function. Because each of these operations is expensive, the histogram of gradient descriptor computations is generally computationally expensive and is difficult to implement in a power efficient manner for mobile applications. The present application discloses a computing device that can provide a low-power, highly capable computing platform for computing a histogram of gradient descriptors.

Abstract: A method for encoding a sequence of high dynamic range pictures is disclosed. The method comprises for each picture of the sequence: obtaining a value representative of an average luminance of the high dynamic range picture; processing the high dynamic range picture so that the value representative of an average luminance of the processed picture is closer to a defined average luminance value than is the value representative of an average luminance of the high dynamic range picture; decomposing the processed high dynamic range picture in at least one first low dynamic range picture and one second low dynamic range picture of lower resolution representative of a global illumination of the scene; and encoding the first and second low dynamic range pictures and a data function of said value representative of an average luminance of said high dynamic range picture.

Abstract: A computing device determines a contrast medium uptake time using magnetic resonance imaging data. Image data constructed from data generated by a magnetic resonance imaging (MRI) machine of a subject is read. A representation computed from the read image data is presented on a display device. Baseline artery locations identified within the presented representation that are associated with a baseline artery are received. A first time-of-arrival (TOA) of contrast medium into the baseline artery is determined using the received baseline artery locations and the read image data. For a plurality of locations within the read image data excluding the baseline artery locations, a second TOA of the contrast medium into a respective location relative to the determined first TOA is determined using the read image data, and the determined second TOA is stored in association with the respective location to assist in lesion identification for the subject.

Abstract: A fingerprint identification optical imaging package structure is applied in the field of the fingerprint identification optical system. An isolating base is arranged under a light source device and a height of the isolating base is higher than a height of a sensing base to achieve the effects of light shielding and preventing from being influenced by the heat of the light source. And then, the sensitivity and precision of fingerprint reading and identifying may be increased and improved. At the same time, the volume may be reduced to make the applicability of the structure much broader.

Abstract: The invention relates to an image processing method for automatically extracting distorted circular image elements (109; 601) from an image (101), comprising the steps of determining, by means of a circle detection (102), at least one circular image section (103; 301, 301?) as a first approximation of at least one distorted circular image element (109; 601), then determining, via a statistical color analysis of the at least one determined circular image section (301, 301?), whether the circular image section (301, 301?) belongs to one of one or more predefined color classes and, in case thereof, assigning the circular image section to the respective color class, and, finally, determining an exact shape (109; 601) of the at least one distorted circular element by starting with at least one of the one or more determined circular image sections assigned to one of the one or more color classes and varying the image section to maximize a value of a color-class specific function of the image section.

Abstract: Panoramic imaging systems and techniques are disclosed. In one aspect, a technique for automatic detecting and tracking of a foreground object includes the steps of: receiving a first set of raw images in an image sequence captured by a panoramic imaging system; stitching, by the panoramic imaging system, the first set of raw images to generate a panoramic image; detecting, by the panoramic imaging system, a foreground object in the panoramic image; tracking, by the panoramic imaging system, a movement of the foreground object in the image sequence; and generating, by the panoramic imaging system, a panoramic video based on the image sequence with tracking the movement of the foreground object.

Abstract: An object detection apparatus includes a light illumination unit that emits illuminating light; an imaging unit that captures a first image of distant photographic subjects by detecting lights from the photographic subjects, captures a second image of foreign matter attached to a monitoring area by detecting the illuminating light reflected from the foreign matter, and generates an image frame; a target detection unit that detects a detection target among the distant photographic subjects based on the first image; a foreign matter detection unit that detects the foreign matter based on the second image; and an exposure amount change unit that changes an exposure amount of the imaging unit. The target detection unit detects the detection target using plural imaging frames with different exposure amounts. The foreign matter detection unit detects the foreign matter using the imaging frame other than the imaging frame with the greatest exposure amount.

Abstract: A terminal apparatus includes a first execution unit. The first execution unit includes an acquisition unit that acquires a captured image captured by an image capturing unit, a transmitting unit that transmits the captured image acquired by the acquisition unit to an image search system including a storage unit, in which objects and associated information associated with each other are stored, and an image search server that retrieves associated information associated with an object contained in the transmitted captured image and transmit the retrieved associated information to a transmission source of the captured image, a receiving unit that receives the associated information transmitted from the image search system based on the captured image transmitted from the transmitting unit, and a presenting unit that presents associated information corresponding to an externally-fed parameter, among the associated information received by the receiving unit.

Abstract: A data conversion server reduces a data amount of a path that constitutes drawing data. The data conversion server adds information used to adjust a scale of the drawing data to the drawing data, wherein the information is obtained based on a length of the path before the data amount is reduced. For example, in a case of data in the SVG format, path length information before the data amount is reduced is set to an attribute (pathLength) as the information used to adjust the scale.

Abstract: A method and apparatus is provided for block based compression of a texture using hardware supported compression formats. The method comprises dividing a texture into a plurality of blocks, for each block, determining a transform for use with the block to minimize an error metric, encoding at least one characteristic of the transform into a plurality of bits otherwise available to represent reference component values, and compressing the block.

Abstract: A three dimensional map of a designated area that includes location data and relative height data of vantage points, points of interest, and objects, within the designated area, is received. A line-of-sight view from the vantage points to the points of interest is determined by calculating an angle, a distance, and a direction between a vantage point and a point of interest based, at least in part, on the location data and relative height data associated with the three dimensional map of the designated area. Obstructions of the line-of-sight view between the vantage points and the points of interest are determined, based on the line-of-sight view, the location data, and the relative height data, and responsive to determining that the line-of-sight view is free of obstruction, identifying each point of interest viewable from each vantage points, within the designated area.

Abstract: The present invention relates to a method and system for condition authentication based upon temporal-spatial analysis of vibrational responsivity. In particular, the present invention provides temporal tracking of reflected secondary speckle patterns generated when illuminating an object with a source of at least partially coherent beam and while applying a stimulated field at different temporal stimulating frequencies.