Abstract: Provided are a pedestrian-crossing marking detecting method and a pedestrian-crossing marking detecting device, wherein the existence of pedestrian crossing markings and the positions thereof can be detected accurately from within a picked up image, even when detection of the intensity edges of painted sections is difficult. In the pedestrian-crossing mark detecting device (100), a road-surface distance of a predetermined range is calculated with respect to image data picked up from the periphery of the vehicle including the road, using camera installation information or a stereo camera's distance information, and the period of the pedestrian crossing markings is calculated on the basis of the road-surface distance of the predetermined range, and furthermore, a power of frequency is calculated using an even function and odd function of a square wave of the period as the basis function.

Abstract: In general, one aspect of the subject matter described can be embodied in methods that include obtaining one or more image regions from a first image of an eye. Each of the image regions may include a view of a respective portion of the white of the eye. The method may further include applying several distinct filters to each of the image regions to generate a plurality of respective descriptors for the region. The several distinct filters may include convolutional filters that are each configured to describe one or more aspects of an eye vasculature and in combination describe a visible eye vasculature in a feature space. A match score may be determined based on the generated descriptors and based on one or more descriptors associated with a second image of eye vasculature.

Abstract: A computer alters at least one recognizable metric or text in a digitally-encoded photographic image by operating an alteration algorithm in response to user input data while preserving an overall aesthetic quality of the image and obscuring an identity of at least one individual or geographic location appearing in the image. An altered digitally-encoded photographic image prepared by the altering of the at least one recognizable metric or text in the image is stored in a computer memory. User feedback and/or automatic analysis may be performed to define parameter values of the alteration algorithm such that the alteration process achieves preservation of aesthetic qualities while obscuring an identity of interest.

Abstract: The present invention relates to a system and method for detecting one or more targets belonging to a first class (e.g., moving and/or stationary people), from a moving platform in a 3D-rich environment. The framework described here is implemented using a number of monocular or stereo cameras distributed around the vehicle to provide 360 degrees coverage. Furthermore, the framework described here utilizes numerous filters to reduce the number of false positive identifications of the targets.

Abstract: Facial feature point reliability generating means generates a reliability map of each facial feature point from a facial image. Initial facial feature point position calculating means calculates the position of each facial feature point in the facial image based on the reliability map. Off-position facial feature point judgment means judges whether or not each facial feature point is an off-position facial feature point not satisfying a prescribed condition. Facial feature point difference calculating means calculates the difference between the position of each facial feature point, excluding those judged as the off-position facial feature points, and the position of a corresponding point of the facial feature point. Facial feature point position correcting means corrects the determined positions of the facial feature points based on the results of the judgment by the off-position facial feature point judgment means and the calculation by the facial feature point difference calculating means.

Abstract: A portion of imagery data is obtained from a digital slide and a protocol of image analysis/diagnostic tasks is performed on the portion of imagery data by a pathologist or an image analysis module. The result of each task (e.g., success or no success) is recorded and a score is determined for the portion of the imagery data. Multiple portions of imagery data from the digital slide are analyzed and scored and the various scores from the multiple portions of imagery data are calculated to determine an overall score for the digital slide. Regions of the digital slide can be scored separately. Multiple rounds of scoring (by different pathologists and/or different image analysis algorithms) may be employed to increase the accuracy of the score for a digital slide or region thereof.

Abstract: This specification relates to locating objects using indicia. In general, one innovative aspect of the subject matter described in this specification can be embodied in methods that include the actions of obtaining an image captured from a camera in proximity of an object located in an indoor facility, the image being of a portion of a surface of the indoor facility comprising a plurality of visible indicia, the camera having an orientation generally pointed at the surface. A plurality of local indicia are identified within the image. The locations of the local indicia within the image and an index of the visible indicia of the surface are used to determine the location of the object relative to the surface.

Abstract: Methods and systems for selecting a representative image of an entity are disclosed. The representative image can be, but is not limited to, that of a person, a corporate logo, other symbol associated with a person or corporation. According to one embodiment, a computer-implemented method for selecting a representative image of an entity is disclosed. The method includes: accessing a collection of images of the entity; clustering, based on similarity of one or more similarity features, images from the collection to form a plurality of similarity clusters; and selecting the representative image from one of said similarity clusters. Further, based on cluster size of said similarity clusters popular clusters can be determined, and the selection of the representative image can be from the popular clusters.

Abstract: A method and system for multi-part left atrium (LA) segmentation in a C-arm CT volume is disclosed. Multiple LA part models, including an LA chamber body mesh, an appendage mesh, a left inferior pulmonary vein (PV) mesh, a left superior PV mesh, a right inferior PV mesh, and a right superior PV mesh, are segmented in a 3D volume. A volume mask is generated from the LA chamber mesh, the appendage mesh, and the PV meshes. Erosion is performed in the LA chamber body and a plurality of ostia regions in the volume mask. The plurality of ostia regions in the volume mask are refined using region growing, and a smooth mesh is fit to each ostia region. A consolidated LA mesh is generated from the volume mask and the parts of the LA mesh are relabeled in the ostia region based on part boundaries detected using an optimization approach.

Abstract: The present invention relates to an information processing device, an information processing method, and a program, capable of drawing, in 3D image display, an image for the left eye and an image for a right eye of graphics, in a matched state. In the event that there is a call-up for an API (Application Programming Interface) ensuring the drawing integrity of drawing graphics images as to a graphics plane, which is a storage region in which storage regions for two images of an L region that is a storage region for one image to store an image for the left eye, and a R region that is a storage region for one image to store an image for the right eye, are collaterally arranged, images drawn on the graphics plane are output for display. The present invention may be applied to a BD player for playing BDs, and the like.

Abstract: Method and system for obtaining brain characteristic parameters, thrombolysis decision guideline system and method thereof, provide middle of reference data for early diagnosis and treatment of acute ischemic brain death, and provide effective reference data for thrombolytic therapy. The present invention uses diffusion-weighted imaging, comparing to the clinical programs of diffusion-weighted imaging and perfusion weighted imaging, perfusion weighted imaging can omitted and the degree of functional characterization of perfusion abnormalities is reflected without the perfusion weighted imaging, to provide middle data of brain tissue can be saved and the risk of thrombolytic therapy. The present invention based on ADC low signal constraint and DWI high signal constraint DWI binarization processing to obtain the core area and transition area, that is more accurate.

Abstract: In verification of image data of a captured image as to whether it is original one, the verification is possible even for image data subjected to a peripheral illumination correction or an exposure correction. An order information calculation unit selects a pixel set including two or more pixels based on pixel values and information on an image space of image data of a captured image, and calculates an order of magnitude between pixels in the selected pixel set. A verification data producing unit generates verification data used in verification of whether the image data has not been tampered with, based on the calculated order of magnitude. An image output unit outputs the image data and the verification data.

Abstract: A color image enhancement method, for enhancing the color of a color image comprising a plurality of pixels. The method comprises: mapping a color saturation value of each pixel to a normalized saturation value, wherein the range of values of normalized saturation is the same independent of the luminance value of the pixel; estimating a probability distribution of the normalized saturation values; defining a transfer function for modifying the normalized saturation values, based on the estimated probability distribution; and applying the transfer function to the normalized saturation values to generate modified values.

Abstract: Representing a face by jointly quantizing features and spatial location to perform implicit elastic matching between features. A plurality of the features are extracted from a face image and expanded with a corresponding spatial location in the face image. Each of the expanded features is quantized based on one or more randomized decision trees. A histogram of the quantized features is calculated to represent the face image. The histogram is compared to histograms of other face images to identify a match, or to calculate a distance metric representative of a difference between faces.

Abstract: Methods, computer readable media, and apparatuses for processing financial documents are presented. Image data associated with a first financial document, such as a check to be deposited, may be received. A first multivariate vector may be determined based on the received image data, and the first multivariate vector may include a plurality of vector components. Each vector component may represent a distance from an edge of the first financial document to a feature of the first financial document, and each vector component may be a ratio of distances. The determined first multivariate vector may be compared with a second multivariate vector associated with a second financial document. Based on the comparing, a confidence score for the first financial document may be determined. A transaction involving the first financial document may be authorized in response to the confidence score exceeding a threshold.

Abstract: Provided are a collating device, a processing method and a collation program, in which a reference line is extracted from an image and each partial image is moved in a manner that the reference line becomes a predetermined one thereby to correct the image, and in which the corrected image is collated so that an authentication result can be obtained for a short time period without any rotating operation. At first, a reference line extracting unit extracts the center line or the contour line of the image as the reference line. Next, an image correcting unit moves each partial image in parallel thereby to correct the image so that the reference line obtained by the reference line extracting unit becomes a predetermined one. Moreover, an image collating unit collates the image corrected by the image correcting unit and a predetermined image to acquire an authentication result.

Abstract: A device is trained for face recognition. A first acquired digital image of a scene includes a face. Face image data is extracted and stored in a face image library along with an unique identifier. A second acquired digital image may or may not include the face of the same person as the face in the first acquired digital image. Face recognition is applied to extracted face data of the second digital image, and the face of the first digital image is displayed as a match to the face of the second digital image when the first and second images are determined to match or the second digital image or a face therein is identified with biometric data stored along with the first digital image when the faces in the first and second images are determined to match.

Abstract: A device such as a set-top-box, digital TV, DVD player, multi-media player, cellular telephone or digital cinema player that may handle data such as multimedia data and/or audio/video signals, may determine its location. The device may determine its location based on GPS information and may send its location it to an external entity, for example, a service provider. The device may generate a watermark comprising its determined location and may embed or insert the watermark within the data. AlsoIn addition, the generated watermark may comprise one or more of a unique identifier for the device, a source of the data, for example, a service provider, a date and a time. The watermark may be secured via processing, for example, the watermark may be encrypted prior to being embedded. The data may be compressed when embedding the watermark. The watermark embedding process may be handled via a secure embedded processor and/or secure code.

Abstract: A portable token and systems and methods for identification and authentication of the same are disclosed. The portable token may be utilized for a variety of purposes and uses a thin section of rock as a unique identifying element, which is extremely resistant to forgery or duplication. Identification and authorization of tokens is achieved by a system that uses optical examination of the microstructure and the refractive properties of crystalline minerals within the identifying element, by transmitted polarized light techniques. Comparison between stored reference data and acquired examination data is the basis for verifying authenticity. The naturally-occurring three-dimensional orientations of the optical axes of mineral crystals contribute to the identification information by their effects.

Abstract: The object of this invention is to provide an image processing apparatus in which, in processing of a document image read by a document reading device, an inclination of a character string in the document image which is recognized in character recognition is obtained more accurately. The image processing apparatus includes a similar character extraction portion which extracts and outputs a character group comprised of characters having a shape and a size that are same with or similar to each other from among characters constituting a character string comprised of a character recognized in optical character recognition from a document image read by a document reading device; and an inclination calculation portion which calculates an inclination value of the character string based on position information of each character of the character group output from the similar character extraction portion.