Abstract: The present approach enables an impression of the atmosphere of a scene or an object present in the scene at the time of photography to be pictured in a person's mind as though the person were actually at the photographed scene. A feeling-expressing-word processing device has: a feeling information calculating unit 11 for analyzing a photographed image, and calculating feeling information which indicates a situation of a scene portrayed in the photographed image or a condition of an object present in the scene; and a feeling-expressing-word extracting unit 12 for extracting, from among feeling-expressing words which express feelings and are stored in a feeling-expressing-word database 21 in association with the feeling information, a feeling-expressing word which corresponds to the feeling information calculated by the feeling information calculating unit 11.

Abstract: The invention relates to image analysis of dark field images obtained at low magnification below 10:1. Image analysis of dark field images obtained at low magnification can be combined with analyzes of images obtained in respect of the same section of a sample and same magnification but with other techniques such as fluorescent microscopy. The system and method can be used e.g. for particle counting, particle size measurement, particle size distribution, morphology measurement, where the particles can be cells and/or cell parts. The invention also relates to a compact dark field light source unit, a system or apparatus including a microscope which by itself is compact and comprises the mentioned dark field light source unit.

Abstract: In a sequence of images of a scene acquired by a stationary camera, objects are detected and tracked by determining a first set of candidate foreground regions according to a background model. A second set of candidate foreground regions is determined according to a set of foreground models. Then, candidate foreground regions in the first set and the second set are validated to produce a final set of foreground regions in the image that include the objects.

Abstract: The present approach enables an impression of the atmosphere of a scene or an object present being photographed to be pictured in a person's mind as if the person were actually at the photographed scene.

Abstract: A method of processing a deposit transaction includes populating, using a teller terminal, a data file associated with the deposit transaction with a customer account number located on a physical deposit slip associated with the deposit transaction. The deposit slip further includes a total currency bill deposit amount. Physical currency bills associated with the deposit transaction are received in an input receptacle of a document processing device. Each of the received physical currency bills associated with the deposit transaction are denominated using the document processing device to obtain a total value for the physical currency bills. An electronic cash-in ticket image having the total value for the physical currency bills and the customer account number is generated. The electronic cash-in ticket image is used by a proof of deposit system to balance the deposit transaction. The data file is populated with the total value for the physical currency bills.

Abstract: Provided are examples of a detecting engine for determining in which pixels in a hyperspectral scene are materials of interest or targets present. A collection of spectral references, typically five to a few hundred, is used in look a through a million or more pixels per scene to identify detections. An example of the detecting engine identifies detections by calculating a kernel vector for each spectral reference in the collection. This calculation is quicker than the conventional Matched Filter kernel calculation which computes a kernel for each scene pixel. Another example of the detecting engine selects pixels with high detection filter scores and calculates coherence scores for these pixels. This calculation is more efficient than the conventional Adaptive Cosine/Coherence Estimator calculation that calculates a score for each scene pixel, most of which do not provide a detection.

Abstract: Systems and methods are disclosed for evaluating cardiovascular treatment options for a patient. One method includes creating a three-dimensional model representing a portion of the patient's heart based on patient-specific data regarding a geometry of the patient's heart or vasculature; and for a plurality of treatment options for the patient's heart or vasculature, modifying at least one of the three-dimensional model and a reduced order model based on the three-dimensional model. The method also includes determining, for each of the plurality of treatment options, a value of a blood flow characteristic, by solving at least one of the modified three-dimensional model and the modified reduced order model; and identifying one of the plurality of treatment options that solves a function of at least one of: the determined blood flow characteristics of the patient's heart or vasculature, and one or more costs of each of the plurality of treatment options.

Abstract: The present approach enables an impression of the atmosphere of a scene or an object present in the scene at the time of photography to be pictured in a person's mind as though the person were actually at the photographed scene. A feeling-expressing-word processing device has: a feeling information calculating unit 11 for analyzing a photographed image, and calculating feeling information which indicates a temporal change in a scene shown in the photographed image or a movement of an object present in the scene; and a feeling-expressing-word extracting unit 12 for extracting, from among feeling-expressing words which express feelings and are stored in a feeling-expressing-word database 21 in association with the feeling information, a feeling-expressing word which corresponds to the feeling information calculated by the feeling information calculating unit 11.

Abstract: A finger sensing apparatus may include a finger sensor having an integrated circuit (IC) substrate, an array of finger sensing elements on the IC substrate, and secure software update circuitry on the IC substrate. In addition, the finger sensing apparatus may include a host platform external from the finger sensor and hosting software associated with the finger sensor. The host platform may cooperate with the secure software update circuitry to authorize an attempted software update.

Abstract: A finger sensing apparatus may include a finger sensor including an integrated circuit (IC) substrate, an array of finger sensing elements on the IC substrate, and match circuitry on the IC substrate for performing final finger matching. The finger sensing apparatus may also include a host platform cooperating with the array of finger sensing elements for performing at least one finger prematch function. In addition, the finger sensor and the host platform may implement at least one security function therebetween. The at least one security function may include a watermarking function, and/or an encryption/decryption function.

Abstract: A method and system for model-based fusion of pre-operative image data and intra-operative fluoroscopic images is disclosed. A fluoroscopic image and an ultrasound image are received. The ultrasound image is mapped to a 3D coordinate system of a fluoroscopic image acquisition device used to acquire the fluoroscopic image. Contours of an anatomical structure are detected in the ultrasound image, and a transformation is calculated between the ultrasound image and a pre-operative CT image based on the contours and a patient-specific physiological model extracted from the pre-operative CT image. A final mapping is determined between the CT image and the fluoroscopic image based on the transformation between the ultrasound image and physiological model and the mapping of the ultrasound image to the 3D coordinate system of the fluoroscopic image acquisition device. The CT image or the physiological model can then be projected into the fluoroscopic image.

Abstract: An image processing apparatus and method. The image processing apparatus includes: a data acquisition device for acquiring image data of a subject including a target bone; and a data processor for acquiring binary image data by performing thresholding based on the image data, segmenting the binary image data into a plurality of segments by labeling, determining one of the plurality of segments as a target image based on image characteristics of the target bone, and measuring a length of the target bone based on the target image.

Abstract: The present invention discloses a method for extracting AIF and an application thereof to DCE-MRI. The method comprises steps: contacting a target tissue with a contrast agent to obtain a plurality of images; using the plurality of images to work out the tissue concentration curve of the contrast agent in each voxel; calculating the purity of the tissue concentration curve of each voxel according to the tissue concentration curves; and extracting the voxel having the highest purity as the optimized arterial location; and extracting the tissue concentration curve of the voxel having the highest purity as the arterial input function. The extracted AIF is applied to a pharmacokinetic model to obtain associated pharmacokinetic parameters. The present invention not only improves the accuracy and reliability of the derived quantitative indexes but also promotes the efficiency of the quantitative analysis.

Abstract: Accurate localization of isolated particles is important in single particle based super-resolution microscopy. It allows the imaging of biological samples with nanometer-scale resolution using a simple fluorescence microscopy setup. Nevertheless, conventional techniques for localizing single particles can take minutes to hours of computation time because they require up to a million localizations to form an image. In contrast, the present particle localization techniques use wavelet-based image decomposition and image segmentation to achieve nanometer-scale resolution in two dimensions within seconds to minutes. This two-dimensional localization can be augmented with localization in a third dimension based on a fit to the imaging system's point-spread function (PSF), which may be asymmetric along the optical axis. For an astigmatic imaging system, the PSF is an ellipse whose eccentricity and orientation varies along the optical axis.

Abstract: A method and system for detecting motion are provided. The method includes: generating a time domain matrix including vectors corresponding to variation of pixel values as elements of the time domain matrix, of a video image including a plurality of frames; generating a motion matrix from which a low frequency area of the video image is removed by multiplying the time domain matrix by a low rank matrix; and generating a result image including a plurality of frames in which vectors, which are elements of the motion matrix, are included as variation of motion pixel values.

Abstract: Seismic stratigraphic features may be enhanced using orientation vectors. In one example, a process includes converting a seismic attribute section from a spatial domain to a spatial-frequency domain using a Fourier transform. For each filter in an orientation filter array, the seismic attribute section is convolved with a filter in the spatial-frequency domain. The convolution result is converted back to the spatial domain by inverse Fourier transform. For each point in the seismic section an orientation filter having a response with a maximum energy is found and the orientation is associated with the corresponding energy and the corresponding point.

Abstract: Systems and methods are disclosed for predicting one or more characteristics of a animal by applying computational methods to image(s) of the animal to generate one or more metrics indicative of the characteristics. Embodiments determine predictors of characteristics by creating a sample library of animals of a particular type, determining facial descriptor measurements for each animal, determining relationships between facial descriptor measurements and additional library data, and selecting predictors from these relationships. Other embodiments predict characteristics of animals not in the library and, optionally, categorize animals for particular discipline, training, management, care, etc. based on the characteristics. Other embodiments predict characteristics and determine strategies for group(s) of animals using predicted characteristics of individual animals.

Abstract: In an information processing apparatus, an object recognition process is performed on each image of a multi-viewpoint image group based on focal length information and information about objects. Objects are specified in each image. A target object is determined based on relationship information indicating a relationship between the objects. An image that contains the determined target object is generated.

Abstract: A method and a system for vicarious characterization of a remote sensing sensor are described. The system includes a plurality of reflective mirrors configured and arranged to reflect radiation from a source of radiation onto a remotely located radiation sensor. The plurality of mirrors are spaced apart so as to obtain a plurality of distinct spot images on the remotely located radiation sensor. The system further includes a processor configured to analyze the plurality of spot images by fitting the images to obtain a point spread function of the remote sensing sensor.

Abstract: A testing system for analyzing a 3D digital volume of a material sample. The testing system defines several test volume sizes with each test volume size including a different numbers of voxels, defining the size of portions of the 3D digital volume to analyze. For each test volume size, the testing system acquires two adjacent portions of 3D digital volume at the test volume size currently being analyzed. The testing system calculates a material property value for the two adjacent portions of the 3D digital volume, and a difference value between the two adjacent portions of the 3D digital volume. The process is repeated over the different test volume sizes. The testing system calculates mean difference values for the different test volume sizes, from which it determines a representative elementary volume.