Abstract: One aspect of the disclosure is directed to an embedded device. The embedded device comprises an image of interest selecting mechanism and a transformation mechanism. The transformation mechanism applies perspective transformation functions to the image of interest such that the image of interest varies from a greater width at a foreground viewpoint of the image of interest to a lesser width toward a vanishing point of the image of interest and such that the image of interest varies from a greater amount of expansion and lesser amount of compression at the foreground viewpoint of the image of interest to a lesser amount of expansion and a greater amount of compression towards the vanishing point of the image of interest.

Abstract: A stereo vision based collision avoidance systems having stereo cameras that produce imagery that is processed to produce a depth map of a scene. A potential threat is detected in the depth map. The size, position, and velocity of the detected potential threat are then estimated, and a trajectory analysis of the detected potential threat is determined using the estimated position and the estimated velocity. A collision prediction based on the trajectory analysis is determined, and then a determination is made as to whether a collision is imminent based on the collision prediction and on the estimated size of the potential threat.

Abstract: When a quantized DCT coefficient and a quantization parameter are input from an entropy decoder, a controller outputs them to a switch and gives a load detector an instruction to detect system load. The load detector requests system load information from OS. If the system load is light, the load detector controls the switch to execute first inverse quantization of general load by a general processor and obtain a DCT coefficient. If the system load is heavy, the load detector controls the switch to execute second inverse quantization whose processing load is lighter than the first inverse quantization by a specific processor and obtain a DCT coefficient.

Abstract: Communicating and matching electronic files for a check adjustment case comprises communicating an electronic check adjustment message comprising key data relating to the case, communicating an electronic image of a document to follow (“DTF”) related to the case, associating the key data with the electronic DTF image, determining whether the electronic message's key data matches the key data associated with the electronic DTF image, and linking the electronic message to the electronic DTF image in response to a determination that the electronic message's key data matches the key data associated with the electronic DTF image. If the DTF image's key data does not match the message's key data, matching electronic files can comprise correcting errors in the key data associated with the electronic DTF image and performing a secondary match routine. An operator accesses the electronic message and the linked DTF image to resolve the check adjustment case.

Abstract: A adaptive filter interpolation method and system for the demosaicing of color images. In general, input pixels are input in a Bayer-mosaiced pattern (only one color per pixel), and output pixels are in full RGB mode (three color values per pixel). For each pixel location, in raster scan order, the processing steps can be summarized as follows. Following a regular raster scanning order (from left to right and top to bottom), for each pixel location horizontal and vertical gradients are first computed (whose computation depends on the available color for that pixel), and from those the appropriate interpolation filters are chosen from a small set of predetermined filters. Then, the chosen filters are applied to interpolate the missing data.

Abstract: An improved sharpening technique sharpens an image using diffusion rather than a Gaussian blur in the smearing phase. After an appropriate radius or number of passes is determined for the pixels of an image, a diffusive process is applied to the image in the smearing phase to generate a blurred image. The values of each pixel in the original image are differenced with the values of each corresponding pixel in the blurred image. The difference may be weighted by input from a user. The resulting value is added to the original image and a sharpened version of the original image is created.

Abstract: The invention provides a detection apparatus for detecting an amount of an object of analysis in a fluid present in an eye or on an eye surface, including a detector which detects an amount of the object of analysis in the fluid, and a detector which recognizes an iris pattern of the eye.

Abstract: A method of losslessly decoding signals representing an image is claimed. A lossy compressed data file and a residual compressed data file are received. The lossy compressed data file is separated into DC coefficients and AC coefficients, and decoded, separately, to the determine DC values and the AC values. The DC values and the AC values are inverse quantized to produce lossy, decompressed data. The residual compressed data file is decoded to produce a residual decompressed data. The lossy decompressed frequency data is combined with the residual decompressed data to produce a lossless data file, wherein the lossless data file is substantially the same as the original image.

Abstract: A technique is provided for obfuscating or masking indicia viewable in a reconstructed image. Image data is acquired and stored and then accessed and the reconstructed image is analyzed to determine whether any indicia are viewable in the image that are in need of masking. Such indicia may include, for example, patient-identifying data. Other information may be left unmasked, such as orientation information, descriptive information, dates, and so forth. The technique permits automated recognition of indicia and altering of image data files so as to render certain sensitive information undecipherable in the processed reconstructed images.

Abstract: To provide an image pick-up apparatus, a fingerprint certification apparatus, and an image pick-up method capable of correcting a light volume unevenness by variation of the light volume in a plurality of light sources. An image pick-up device unit comprises pixels which are two dimensionally arranged, and images an object. A light source consists of a plurality of LEDs arranged in parallel to the main scan direction of the image pick-up device unit, and impinges a light on the object. A LED driving unit controls the luminance of a plurality of LEDs so that the light volume distribution of the center region of the main scan direction in the image pick-up device unit becomes more uniform.

Abstract: Provided is a computer implemented method and interface for mapping image intensities on a computing device. The processing method includes displaying an image on a display device having a range of intensities, subdividing the range of intensities from the image on the display device into a set of intensity zones, associating each intensity zone with one or more segments of a graphical diagram to be displayed on a computer device and moving a partition separating the one or more segments of the graphical diagram displayed on the computer device to change the intensity levels of the displayed image.

Abstract: A plurality of iris images are acquired (SA0), and aggregation of iris images of which distribution of pupil openings is uniform is acquired from the plurality of iris images by duplication and/or deletion (SA1). Features are generated from the respective iris images that belong to the aggregation (SA2), and a predetermined number of registration features are selected from the features, using authentication performance as an evaluation index.

Abstract: A method and system is configured to characterize regions of an environment by the likelihoods of transition of a target from each region to another. The likelihoods of transition between regions is preferably used in combination with conventional object-tracking algorithms to determine the likelihood that a newly-appearing object in a scene corresponds to a recently-disappeared target. The likelihoods of transition may be predefined based on the particular environment, or may be determined based on prior appearances and disappearances in the environment, or a combination of both. The likelihoods of transition may also vary as a function of the time of day, day of the week, and other factors that may affect the likelihoods of transitions between regions in the particular surveillance environment.

Abstract: A system and method for improved validation of images is provided. Validation of any target image may be performed by creating a model of graphical components of a source image or a reference model and comparing the model of graphical components of the source image or reference model with a model of graphical components of the target image in order to detect differences between the graphical components. In one embodiment, a framework may be provided with an analysis engine for building a model of graphical components of a source image to be compared with a model of graphical components of a target image. In another embodiment, a framework may be provided with a synthesis engine for building a model of a synthesized graphical component to be compared with a model of graphical components of a target image.

Abstract: A system (400) for generating training images for a pattern recognition classifier (54) from three-dimensional image data representing an output class comprises a model constructor (404) that constructs an image model in a standard coordinate domain from the three-dimensional image data. A model transformer (406) manipulates the image model in the standard coordinate domain to produce at least one manipulated image model. An image restorer (408) maps the at least one manipulated image model from the standard coordinate domain to a coordinate domain associated with an image source utilized during the run-time operation of the pattern recognition classifier.

Abstract: A cell type page which displays a fixed number of images at fixed positions with fixed size on a screen and a free type page which displays equal to or more than one image at arbitrary positions with arbitrary size on the screen are provided. In response to an image insertion order in the cell type page, images belong to the cell type pages behind that cell type page are sent astern without influencing positions of images belong to the free type pages behind that cell type image and blank pages are added if there is no blank cells. In response to an image deletion order from the cell type page, images behind an image to be deleted belong to the cell type pages behind that cell type page are closed ahead without influencing positions of images belong to the free type page behind that cell type page and the blank pages are deleted if the blank pages are appeared.

Abstract: Video object cutting and pasting is described. In one implementation, pre-segmentation of video frames into regions is performed prior to a 3-D graph cut segmentation. The 3-D graph cut segmentation uses temporal coherence and a global color model to achieve accuracy of video object boundaries. A 2-D local graph cut segmentation can then be used to refine the boundaries. The boundaries can be tracked within a user-selected sequence of windows and refined using a local color model.

Abstract: In certain embodiments of the invention, a plurality of images of one or more subjects may be captured using different imaging techniques, such as different modalities of scanning probe microscopy. Parameters may be estimated from the plurality of images, using one or more models of known molecular structures to provide a model-based analysis. The estimated parameters may be fused, with further input from physical models of known molecular structures. The fused parameters may be used to characterize the subjects. Such characterization may include the detection and/or identification of specific molecular structures, such as proteins, peptides and/or nucleic acids of known sequence and/or structure. In some embodiments of the invention the structural characterizations may be used to identify previously unknown properties of a subject molecule.

Abstract: A gesture recognition system enabling control of a robotic device through gesture command by a user is provided, comprising a robotic unit, a video or infrared camera affixed to the robotic unit, computing means, and high and low level of control gesture recognition application code capable of enabling the system to locate points of left hand, right hand, upper torso and lower torso of the user in the video imagery and convert it to waveform data, correlate the waveform data to user command data, and form corresponding control voltage command(s) for production of electric current voltage(s) to drive one or more of the electric motors or actuators of the robotic device to thereby control same. In addition, a computer software program is provided for use in the gesture recognition system described above.

Abstract: The present invention provides an image printing apparatus in which the consistency between image files and a print information file can be held and also the efficiency of user operation can be enhanced. When an instruction to delete the relevant one of image files which are already stored in a taken image storage part in a memory card has been inputted by a file designation part, it is discriminated by a file coincidence judgement part whether or not the relevant one of the image files is present in the taken image storage part. If it is discriminated that the relevant one of the image files is present in the taken image storage part, then it is further discriminated whether or not the specified image file is already registered in print information of a print information storage part.