Abstract: A photographic system for generating photos is provided. The photographic system comprises a photo composition unit, and a photo synthesizer. The photo composition unit is capable of determining an extracted view from a three dimensional (3D) scene. The photo synthesizer, coupled to the photo composition unit, is capable of synthesizing an output photo according to the extracted view.

Abstract: A method, apparatus and computer program product are provided for identifying an unknown subject using face recognition. In particular, upon receiving a plurality of images depicting a subject, the method may include deriving and storing a common component image and a gross innovation component image associated with the subject, wherein the subject can later be identified in a new image using these two stored images. The common component image may capture features that are common to all of the received images depicting the subject, whereas the gross innovation component image may capture a combination of the features that are unique to each of the received images. The method may further include deriving and storing a low-rank data matrix associated with the received images, wherein the low-rank data matrix may capture any illumination differences and/or occlusions associated with the received images.

Abstract: Biometric data, suitably transformed are obtained from a biometric input device contained within a stand-alone computing device and used in conjunction with a PIN to authenticate the user to the device. The biometric template and other data residing on the device are encrypted using hardware elements of the device, the PIN and Password hash. A stored obfuscated password is de-obfuscated and released to the device authentication mechanism in response to a successfully decrypted template and matching biometric sample and PIN. The de-obfuscated password is used to authenticate the user to device, the user to a remote computer, and to encrypt device data at rest on the device and in transit to and from the remote computer. This creates a trusted relationship between the stand-alone device and the remote computer. The system also eliminates the need for the user to remember and enter complex passwords on the device.

Abstract: In a method for aligning a part of a product (moving object) with a reference object, triangle data of the moving object is acquired, and feature elements of the moving object is fitted according to the triangle data. Feature elements of the reference object which match the feature elements of the moving object are determined, and the moving object is moved from a position of a center point of the feature elements of the moving object to a position of a center point of the matched feature elements of the reference object. A moving-and-rotating matrix of the moving object is obtained according to Quasi-Newton methods, and the moving object and the reference object are aligned by moving and rotating the moving object according to the moving-and-rotating matrix.

Abstract: A system and method for a procedure that can be performed on any appropriate subject. Procedures can include assembling any appropriate work piece or installing members into a work piece, such as an airframe, autoframe, etc. Regardless of the subject, generally the procedure can have a selected result that is efficacious. The efficacious result may be the desired or best result for the procedure. The system and method can be used in confirming a selected result that can be efficacious.

Abstract: A method to automatically classify video content retrieved over the Internet and, in particular, to determine whether a candidate video is an instance of a source video. The method begins by sampling static image frames from each of the candidate video and the source video. Based on the sampled static image frames, a set of static image frames in the candidate video that match a corresponding set of static image frames in the source video are then identified. Metadata associated with the sets of matching static image frames are then compared to determine how closely a temporal order of the set of static image frames in the candidate video matches the temporal order of the set of static image frames in the source video. Based on a measure of temporal order match, a classification is then applied to the candidate video to complete the method.

Abstract: Various embodiments are directed to generating video data using temporally offset image data samples having disparate exposure times. Synthetic samples are generated for each of the pixels at a particular time period by computing, for each synthetic sample, a combined intensity of the captured samples that fall within the time period. Synthetic samples from adjacent pixels are grouped and image data in different groups is compared to identify matching groups. Video frames are constructed by combining image data from the captured samples based upon the matched images.

Abstract: A method of locating anatomical features in a medical imaging dataset comprises obtaining a medical imaging measurement dataset that comprises image data for a subject body as a function of position; and performing a registration procedure that comprises:—providing a mapping between positions in the measurement dataset and positions in a reference dataset, wherein the reference dataset comprises reference image data for a reference body as a function of position, the reference dataset comprises at least one anatomical landmark, and the or each anatomical landmark is indicative of the position of a respective anatomical feature of the reference body; matching image data in the measurement dataset with image data for corresponding positions in the reference dataset, wherein the corresponding positions are determined according to the mapping; determining a measure of the match between the image data of the measurement dataset and the image data of the reference dataset; varying the mapping to improve the match b

Abstract: An information-providing system is disclosed. The information-providing system can include an image-receiving module that receives an image from a device, an item-selection module that identifies an item based on the received image, an information-retrieving module that retrieves information relating to the item, and a data transmitting module that transmits the retrieved information to the device, wherein the item is identified by matching one or more features of the received image with features identified from a training image associated with the item.

Abstract: A computing system generates a depth map from at least one image, detects objects in the depth map, and identifies anomalies in the objects from the depth map. Another computing system identifies at least one anomaly in an object in a depth map, and uses the anomaly to identify future occurrences of the object. A system includes a three dimensional (3D) imaging system to generate a depth map from at least one image, an object detector to detect objects within the depth map, and an anomaly detector to detect anomalies in the detected objects, wherein the anomalies are logical gaps and/or logical protrusions in the depth map.

Abstract: A method, computer program product, and computing system for the sharing of experiences is provided. The method may include receiving a photograph having image capture data associated therewith and determining one or more places of a plurality of places with which to associate the photograph, wherein the plurality of places each have one or more locations associated therewith, and wherein determining which one or more places of the plurality of places to which to associate the photograph comprises comparing the image capture data associated with the photograph to the locations associated with the plurality of places. The method may further include generating an experience data card based upon, at least in part, the photograph and storing in a data store an association between the experience data card and the determined one or more places, wherein the data store is communicatively coupled to the one or more computing devices.

Abstract: A completely automated method for classifying electronic images of commercial documents such as invoices, bills of lading, explanations of benefits, etc. is based on the layout of the documents. A document is classified as belonging to a class of similarly laid out images if its distance, determined by a set of pre-defined metrics, to any of the template layouts from the same class of template layouts does not exceed a certain user-defined threshold. Alternatively, if the sum of distances from a given image to several template layouts from the same class does not exceed a user-selected threshold, the image is deemed to belong to a class of images with a specific layout.

Abstract: An information processing apparatus of the present invention selects one language group, then selects one language from the selected language group, and performs OCR processing appropriate for the selected language on characters included in an image. From an obtained OCR processing result, a matching degree indicating a degree of similarity between the recognized characters in the image and the language selected for the OCR processing is calculated. Then, in a case where the matching degree is equal to or smaller than a particular value, a language belonging to a different language group is selected to further perform OCR processing. The efficiency of the OCR processing is improved. The information processing apparatus of the present invention allows improvement in the efficiency of the OCR processing.

Abstract: A method, an apparatus and a system are provided for deriving a characteristic of a product using X-rays. X-ray image data associated with the product is received, the X-ray image data being derived by performing an X-ray scan of the product using an X-ray imaging apparatus and conveying attenuation information resulting from interaction of X-rays with the product. A response of a reference product to X-rays is then simulated to generate simulated X-ray image data. The simulated X-ray image data and the received X-ray image data are then processed to derive one or more characteristics of the product. Information conveying the derived characteristic of the product is then released. In a specific implementation, the product is a liquid product comprised of a bottle at least partially filled with liquid and the derived characteristic of the liquid product is a threat status assessment associated with the liquid in the bottle.

Abstract: Provided are methods for determining and analyzing photometric and morphometric features of small objects, such as cells to, for example, identify different cell states. In particularly, methods are provided for identifying apoptotic cells, and for distinguishing between cells undergoing apoptosis versus necrosis.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for automatically extracting logos from images. Methods include generating a query list including a plurality of logo search queries, for each logo search query of the plurality of logo search queries: generating a plurality of image search results, each image search result including image data, and clustering the plurality of image search results into a plurality of clusters, each cluster including a plurality of images of the plurality of image search results, extracting, for each cluster of the plurality of clusters, a representative image to provide a plurality of representative images, and a name corresponding to the representative image to provide a plurality of names, and providing the plurality of representative images and the plurality of names to a logo index, the logo index being accessible to identify one or more logo images in a query image.

Abstract: An image capturing apparatus includes: a first detection unit that, based on feature amounts of an image obtained by an image sensor, detects a position of a certain subject in the image and a position of a certain part of the certain subject; and a second detection unit that detects a position of a region of the certain subject in the image obtained by the image sensor with a smaller calculation amount than the first detection unit. A focus detection area corresponding to the certain part is selected from among a plurality of focus detection areas based on a relationship between the position of the region of the certain subject detected by the second detection unit and the positions of the certain subject and the certain part detected by the first detection unit.

Abstract: A wakefulness level estimation apparatus includes: an estimation portion that estimates a level of wakefulness of a subject person based on one of a wakefulness level estimation function, of which a variable is a wakefulness level correlation value of the subject person, and a difference between the wakefulness level correlation value of the subject person and a reference value of the wakefulness level correlation value; a stimulation detection portion that detects whether an awakening stimulation is externally applied to the subject person; and a correction portion that, when the stimulation detection portion detects that the awakening stimulation is applied to the subject person, performs a correction of one of the reference value of the wakefulness level correlation value and the wakefulness level estimation function, which is used for estimating the level of wakefulness of the subject person.

Abstract: An apparatus and method for restricting executable processing carried out in an information terminal, the method including: accepting an operation by an operator; in response to the accepted operation, executing processing corresponding to the operation; requesting an input of identification information; performing authentication of the identification information input in response to the request; in the case where an input of identification information is requested in the identification information requesting step, acquiring image data; storing the acquired image data; extracting an area including an image recognized as a person from the acquired image data; enabling execution of processing and deletion of the image data when an authentication succeeds and preventing deletion of the image data when the authentication fails.

Abstract: Disclosed is a method of determining at least one three-dimensional (3D) geometric parameter of an imaging device. A two-dimensional (2D) target image is provided having a plurality of alignment patterns. The target image is imaged with an imaging device to form a captured image. At least one pattern of the captured image is compared with a corresponding pattern of the target image. From the comparison, the geometric parameter of the imaging device is then determined. The alignment patterns include at least one of (i) one or more patterns comprising a 2D scale and rotation invariant basis function, (ii) one or more patterns comprising a 1D scale invariant basis function, and (iii) one or more patterns having a plurality of grey levels and comprising a plurality of superimposed sinusoidal patterns, the plurality of sinusoidal patterns having a plurality of predetermined discrete orientations.

Abstract: An image registration process for detecting a change in position of a surgical target, such as a tumor, within a patient is disclosed. A pre-operative model of the target and surrounding area is generated, then registered to live patient images to determine or confirm a location of the target during the course of surgery. Image registration is based on a non-iterative image processing logic that compares a similarity measure for a template of the target (generated from the pre-operative model) at one location within the live image to other locations within the live image.

Abstract: A computing device configured for providing an interface is described. The computing device includes a processor and instructions stored in memory. The computing device projects a projected image from a projector. The computing device also captures an image including the projected image using a camera. The camera operates in a visible spectrum. The computing device calibrates itself, detects a hand and tracks the hand based on a tracking pattern in a search space. The computing device also performs an operation.

Abstract: A method of creating an analysis model includes the steps of storing first shape information in association with instruction information that is used for creating the analysis model and that includes shape feature information about a connecting part in the first shape information; comparing second shape information with the first shape information associated with the instruction information; determining whether a difference between the first shape information and the second shape information is within an allowable range for the shape feature information included in the instruction information; and setting the instruction information if the difference between the first shape information and the second shape information is within the allowable range.

Abstract: The described implementations relate to computer vision. In one case image data is received. Resource constraints associated with processing the image data are evaluated. Further, a visual recognition and detection processing strategy is selected for the image data based at least in part on the evaluated resource constraints.

Abstract: The present invention provides a facial image display apparatus that can display moving images concentrated on the face when images of people's faces are displayed. A facial image display apparatus is provided wherein a facial area detecting unit (21) detects facial areas in which faces are displayed from within a target image for displaying a plurality of faces; a dynamic extraction area creating unit (22) creates, based on the facial areas detected by the facial area detecting means, a dynamic extraction area of which at least one of position and surface area varies over time in the target image; and a moving image output unit (27) sequentially extracts images in the dynamic extraction area and outputs the extracted images as a moving image.

Abstract: A system and method includes obtaining an address of a structure, obtaining picture of objects in the structure with a networked mobile device, deriving identification information from the pictures, using the identification information to obtain energy usage information from databases, and generating an energy audit based on the objects and energy usage information.

Abstract: Disclosed herein are methods, systems, and computer readable media for locking a computing device. Periodic images are received from a camera on a computing device. Each of the images is compared to a stored image of a user. A determination is made that one of the images does not match the stored image, and the computing device is locked upon determining that one of the images does not match the stored image.

Abstract: An automatic facial action coding system and method can include processing an image to identify a face in the image, to detect and align one or more facial features shown in the image, and to define one or more windows on the image. One or more distributions of pixels and color intensities can be quantified in each of the one or more windows to derive one or more two-dimensional intensity distributions of one or more colors within the window. The one or more two-dimensional intensity distributions can be processed to select image features appearing in the one or more windows and to classify one or more predefined facial actions on the face in the image. A facial action code score that includes a value indicating a relative amount of the predefined facial action occurring in the face in the image can be determined for the face in the image for each of the one or more predefined facial actions.

Abstract: An image processing apparatus includes a photographing unit configured to generate a plurality of images by photographing a plurality of times a range which can be photographed, an object detection unit configured to detect a specified object from each of the plurality of images generated by the photographing unit, a position determination unit configured to determine an existing position of the specified object based on a detection result of the specified object in the plurality of images, and a range determination unit configured to determine a photographing range to be photographed within the range which can be photographed based on the existing position of the specified object determined by the position determination unit.

Abstract: A machine may be configured as a vehicle identification machine to identify a model of a vehicle based on an image that depicts a dashboard of the vehicle. As configured, the machine may receive an image of the dashboard, where the image depicts a layout of instrumentation within the dashboard. The machine may identify the layout of instrumentation by processing the image. For example, the machine may process the image by determining a position of an instrument within the layout of instrumentation, determining an outline of instrument, or both. The machine may access a data record that correlates a model of the vehicle with the identified layout of instrumentation and, based on the data record, identify the model of the vehicle. The machine may then provide a notification that references the vehicle, references the identified model of the vehicle, or references both.

Abstract: A method of stitching an image to combine at least a first image and a second image in a digital image processing apparatus includes obtaining matching areas of the first image and the second image where the second image overlaps the first image, and changing gradations of an entire area of the second image to make a representative gradation of the matching area of the first image the same as a representative gradation of the matching area of the second image, wherein a change rate in changing at least one of the gradations of the entire area of the second image is set according to a level of a gradation of the second image before the changing the gradations of the entire area of the second image.

Abstract: A system and method to classify forms. An image representing a form of an unknown document type is received. The image includes line-art. Further, a plurality of template models corresponding to a plurality of different document types is received. The plurality of different document types is intended to include the correct document type of the unknown document. A subset of the plurality of template models are selected as candidate template models. The candidate template models include line-art junctions best matching line-art junctions of the received image. One of the candidate template models is selected as a best candidate template model. The best candidate template model includes horizontal and vertical lines best matching horizontal and vertical lines of the received image, respectively, aligned to the best candidate template model.

Abstract: An image processing system inputs a captured image of a scene viewed from a vehicle, extracts image feature points from the captured image, and obtains image-capturing situation information indicating a possibility that a specific subject is included in the captured image. The system determines importance degrees of the extracted image feature points based on the image-capturing situation information and generates image feature point data using the extracted image feature points based on the importance degrees. The system generates reference data by associating the image feature point data with image-capturing attribute information and creates a reference data database. The image-capturing attribute information includes an image-capturing position at which the image is captured to obtain the captured image corresponding to the image feature point data.

Abstract: An inspection apparatus, inspection system, inspection method, and inspection control program stored in a recording medium, each of which sets a reference point in a master image and a read image read from a printed image, which is to be used for detecting the positional shift between the read image and the master image, based on determination whether a pattern previously added to the printed image for detecting the positional shift is available or can be used to effectively detect the positional shift.

Abstract: An image processing apparatus may include: a first registration device for performing, by taking a first input image of two overlapped input images having an overlapped area as a reference image, a first registration on a second input image to find, in the second input image, a second pixel which is matched with each first pixel located in the overlapped area of the reference image; an output pixel location determination device for calculating a location of an output pixel which is located in the overlapped area of the output image and corresponds to the first pixel, the locations of the first and second pixels being respectively weighted, and the shorter the distance from the first pixel to a non-overlapped area of the reference image is, the greater a weight of the location of the first pixel is; and an output pixel value determination device for calculating a pixel value.

Abstract: System, method, and computer program product to provide an augmented image, by receiving an image, analyzing the image to identify at least two augmentation triggers comprising: (i) a predefined object in the image, and (ii) a predefined landmark in the image, and generating an augmented image based on the analysis of the image, comprising affecting the predefined object with a retrieved augmentation image and adding a fictional character to the augmented image.

Abstract: Techniques for generating cross-modality semantic classifiers and using those cross-modality semantic classifiers for ground level photo geo-location using digital elevation are provided. In one aspect, a method for generating cross-modality semantic classifiers is provided. The method includes the steps of: (a) using Geographic Information Service (GIS) data to label satellite images; (b) using the satellite images labeled with the GIS data as training data to generate semantic classifiers for a satellite modality; (c) using the GIS data to label Global Positioning System (GPS) tagged ground level photos; (d) using the GPS tagged ground level photos labeled with the GIS data as training data to generate semantic classifiers for a ground level photo modality, wherein the semantic classifiers for the satellite modality and the ground level photo modality are the cross-modality semantic classifiers.

Abstract: An imaging-based bar code reader that includes an imaging and decoding system. Focusing optics and a sensor array define a field of view. A data processor has a memory for storing a pattern definition of previously imaged OCR characters and comparing a format of said previously stored characters to a present image to determine a character content of the present image.

Abstract: Methods are disclosed for finding images from a large corpus of images that at least partially match a query image. The present method makes use of feature detectors to bundle features into local groups or bundles. These bundled features are repeatable and much more discriminative than an individual SIFT feature. Equally importantly, the bundled features provide a flexible representation that allows simple and robust geometric constraints to be efficiently enforced when querying the index.

Abstract: Methods and systems of recognizing images may include an apparatus having a hardware module with logic to, for a plurality of vectors in an image, determine a first intermediate computation based on even pixels of an image vector, and determine a second intermediate computation based on odd pixels of an image vector. The logic can also combine the first and second intermediate computations into a Hessian matrix computation.

Abstract: A digital image processing apparatus recognizes an image of a firework and performs image quality processing on the image. The digital image processing apparatus for recognizing a firework may include a digital signal processor (DSP) that recognizes a firework in a scene recognition mode based on data regarding luminance and size of flames of the firework of a live view image including at least two consecutively input frames, and that performs image quality processing on the live view image.

Abstract: The CV-CAD (computer vision-computer-aided design) model is an enhanced CAD (computer-aided design) model that integrates local and global computer vision data in order to represent an object not only geometrically but also in terms of computer vision. The CV-CAD model provides a scalable solution for intelligent and automatic object recognition, tracking and augmentation based on generic models of objects.

Abstract: A system and method for compressing a digital image may store a dictionary having a plurality of predetermined template patterns each identified by a code. The image may be divided into a plurality of sub-regions, and a template pattern may be selected from the dictionary that most closely matches an image features for each sub-region. A compressed data set may be generated for the image in which each sub-region is represented by a code identifying the associated template pattern. Once the data is compressed, the image may be reconstructed using the code from the compressed data set to retrieve the template pattern from the dictionary for each sub-region and may reconstruct a full image by combining the template patterns for all of the sub-regions.

Abstract: In one embodiment, a method includes receiving an image of a document; performing optical character recognition (OCR) on the image; extracting an address of a sender of the document from the image based on the OCR; comparing the extracted address with content in a first database; identifying complementary textual information in a second database based on the address; and at least one of: extracting additional content from the image of the document; correcting one or more OCR errors in the document using the complementary textual information, and normalizing data from the document prior to determining a validity of the document using at least one of the complementary textual information and predefined business rules. At least one of the aforementioned operations is performed using a processor of a mobile device. Exemplary systems and computer program products are also disclosed.

Abstract: Aspects of the disclosure pertain to matching a selected image/photograph against a database of reference images having location information. The image of interest may include some location information itself, such as latitude/longitude coordinates and orientation. This location information may be based on information obtained when the user's device interacts with base stations or other access points in a wireless communication network, such as signal strength information. The location information is used as an estimated location. The image of interest and the estimated location are used to select one or more cells to match the image against. Each cell may have multiple images and an index. The image is compared against specific cells, and if a match is found, a front end server identifies the correct location and orientation of the received image, and may correct errors in the estimated location of the user device.

Abstract: Techniques for intelligent image search results summarization and browsing scheme are described. Images having visual attributes are evaluated for similarities based in part on their visual attributes. At least one preference score indicating a probability of an image to be selected into a summary is calculated for each image. Images are selected based on the similarity of the selected images to the other images and the preference scores of the selected images. A summary of the plurality of images is generated including the selected one individual image.

Abstract: A method of identifying individual silicon substrates, and particularly solar cells, is disclosed. Every solar cell possesses a unique set of optical properties. The method identifies these properties and stores them in a database, where they can be associated to a particular solar cell. Unlike conventional tracking techniques, the present method requires no dedicated space on the surface of the silicon substrate. This method allows substrates to be tracked through the manufacturing process, as well as throughout the life of the substrate.

Abstract: The present invention relates to an image enhancement apparatus for enhancing an input image of a sequence of input images. To provide the ability to increase the resolution of an input image and/or to temporally reduce artifacts and/or noise in an input image, the apparatus comprises a motion compensation unit, a weighted selection unit, a feature analysis unit, an image model unit configured to generate a modelled image by applying an image model on said input image and/or said weighted selection image, a spatio-temporal detail signal generation unit configured to generate a detail signal from said input image and said weighted selection image, and a combination unit configured to generate said enhanced output image from said input image, said detail signal and said modelled image.

Abstract: A method for obtaining an identification characteristic for a subject includes acquiring an image of an eye of the subject, segmenting the eye image into different regions, extracting features in a sclera region segmented from the eye image, and generating data identifying at least one feature extracted from the sclera region of the eye image.

Abstract: In a method for controlling an unmanned aerial vehicle (UAV) in a flight space using a computing device, a 3D sample database is created and store in a storage device of the computing device. The computing device includes a depth-sensing camera that captures a 3D scene image of a scene in front of a user, and senses a depth distance between the user and the depth-sensing camera. A 3D person image of the user is detected from the 3D scene image, and gesture information of the user is obtained by comparing the 3D person image with human gesture data stored in the 3D sample database. The method converts the gesture information of the user into one or more flight control commands, and drives a driver of the UAV to control the UAV to fly in a flight space according to the flight control commands.