Abstract: The purpose of the present invention is to provide an object detecting device which is capable of accurately detecting an object even far away, and of shortening processing time. Provided is an object detecting device (100), comprising: a disparity acquisition unit (116) which compares each image of two cameras (112, 113) and computes a disparity for each pixel; a near-far boundary setting unit (118) which, in a single image of one of the two cameras, sets a boundary (Rb) between a near region (R1) which is close to a vehicle (110) and a far region (R2) which is distant from the vehicle (110); a near object detecting unit (119) which detects objects (102, 104) of the near region (R1) on the basis of the disparity; and a far object detecting unit (120) which detects objects (103, 104) of the far region (R2) on the basis of the single image.

Abstract: A method for detecting a curbstone in an environment of a vehicle. The method includes recognizing at least one line segment that belongs to the curbstone with the aid of image data that are read in by an interface to a camera device of the vehicle. The line segment is projected onto a ground plane of the environment in order to generate a projected line segment. A subset of a plurality of three-dimensionally triangulated points in the environment of the vehicle is assigned to the line segment as a function of a position of the points relative to a position of the camera device, relative to a starting point of the projected line segment, and relative to an end point of the projected line segment. A flank plane of the curbstone is ascertained with the aid of the assigned points.

Abstract: An object detection apparatus receives an input of a compressed image stream, extracts, from a block included in the input compressed image stream, predetermined compression encoded information representing a feature of a compressed image, and determines, based on the extracted predetermined compression encoded information, whether or not the block is a candidate block including at least a part of the specific object. The object detection apparatus identifies, in a decoded image decoded from the compressed image stream, a candidate region of a predetermined size including the candidate block, calculates a predetermined feature amount from image data of the candidate region, and determines, based on the calculated predetermined feature amount, whether or not the candidate region includes at least a part of the specific object.

Abstract: A system of detection, tracking and identification of an evolutionary adaptation of a vehicle lamp includes an image capture device and a processor. The image capture device captures an image of a vehicle. The processor processes the image of the vehicle to generate a detection result of the vehicle lamp, analyzes and integrates vehicle lamp dynamic motion information and vehicle lamp multiple scale variation information based on the detection result, and then tracks the position of the vehicle lamp by applying a multiple scale vehicle lamp measurement model.

Abstract: An apparatus and method for setting a region of interest of a vehicle that is being driven is provided. The apparatus includes an image capturing unit configured to capture a front image of the vehicle that is being driven, a memory configured to store a program for setting the region of interest of the vehicle that is being driven, and a processor. The processor obtains a current position of the vehicle and lane information corresponding to the current position based on the front image captured by the image capturing unit by executing the program, and sets the region of interest needed for recognition of a signal light based on the obtained lane information, and the processor sets a region including a lane corresponding to another vehicle driving in the same direction as the vehicle that is being driven in the front image as the region of interest.

Abstract: Methods and systems for enrolling biometric data that is easier to use and provides a more positive end user experience. Additionally, machine readable medium storing instructions configurable to achieve the results when executed by a computing device are also provided.

Abstract: In general, embodiments of the technology relate to extracting content from documents. More specifically, embodiments of the technology relate to using fuzzy regular expressions to process content results obtained from one or more documents in order to extract content for these documents. Further, embodiments of the technology enable the format modification of the content after the content has been identified and extracted from the documents.

Abstract: An image processing device is configured to perform: reading an image of an original while a light emitting portion emits light with a first lighting color to acquire first image data representing the image; storing the first image data in a memory; executing a recognition process for recognizing an ID photograph in the image represented by the first image data; in response to determining that the ID photograph is recognized, outputting the image represented by the first image data; in response to determining that the ID photograph is not recognized, switching a lighting color of the light emitting portion from the first lighting color to a second lighting color different from the first lighting color; and reading the image of the original while the light emitting portion emits light with the second lighting color to acquire second image data representing the image.

Abstract: A device comprising a media validation platform for identifying and detecting defects on a media disc is provided. The media validation platform may include: a media transport system including a guide portion including a cushion medium and a drive portion including a belt drive for conveying a media disc along a path of motion through the media validation platform; a slot providing an opening to the media validation platform and a guide to introduce the media disc to the media transport system; a quality control station comprising a light source, a light diffuser, and a camera for measuring an intensity of light from the light source passing through the light diffuser and a media layer of the at least one media disc; and a media identification station comprising a scanner assembly, the scanner assembly adapted to obtain data from a bar code of the at least one media disc.

Abstract: Method and system for reading and validating identity documents that involves acquiring an image of a first and/or a second side of an identity document using a camera of a portable device; recognizing whether MRZ characters exist or are readable in the acquired image; if said MRZ characters are readable or do exist reading them obtaining a pre-identified document, or otherwise, detecting a series of local points of interests and their positions on the image calculating descriptors or vectors; and identifying the type or model of said identity document, starting by correcting perspective distortions caused by a bad relative position of the identity document with respect to the camera for obtaining a corrected and substantially rectangular image of the first and/or second side of the document at a predetermined scale which is used to perform, automatically, said identification of the identity document type or model and to automatically read and identify text and non-text information included in said corrected

Abstract: Examples of various method and systems are provided for information extraction from scene information. 2D image information can be generated from 2D images of the scene that are overlapping at least part of one or more object(s). The 2D image information can be combined with 3D information about the scene incorporating at least part of the object(s) to generate projective geometry information. Clustered 3D information associated with the object(s) can be generated by partitioning and grouping 3D data points present in the 3D information. The clustered 3D information can be used to provide, e.g., measurement information, dimensions, geometric information, and/or topological information about the object(s). Segmented 2D information can also be generated from the 2D image information. Validated 2D and 3D information can be produced by cross-referencing between the projective geometry information, clustered 3D information, and/or segmented 2D image information, and used to label the object(s) in the scene.

Abstract: An image processing apparatus including: a processor; and memory storing computer-readable instructions therein, the computer-readable instructions, when executed by the processor, causing the image processing apparatus to perform: acquiring target image data configured by a plurality of pixels and representing a target image including a character; acquiring a character code corresponding to the character in the target image; acquiring an index value relating to a number of a plurality of character pixels configuring the character in the target image by using the character code corresponding to the character in the target image; determining a first extraction condition by using the index value; and extracting the plurality of character pixels satisfying the first extraction condition from the plurality of pixels in the target image.

Abstract: Methods are systems are provided that include obtaining a digital image from a digital photograph, such as may be taken by a digital camera or a camera phone. The digital image includes, for example, a URI or URL, which may be contained within a visible frame. A character recognition technique, such as an optical character recognition technique, may be used to recognize the URI or URL from the digital image. The URI or URL may be used to access a corresponding Web page. The character recognition technique may be applied on the digital camera or cell phone itself, or remotely.

Abstract: An image processing apparatus includes a detector, an estimator and a determiner. The detector detects a candidate region of a captured image captured by a camera, the candidate region serving as a candidate for a water drop region affected by a water drop on the lens of the camera, based on an edge strength of each pixel in the captured image. The estimator estimates, based on the candidate region, a circle that includes the candidate region. The determiner determines whether or not the candidate region is part of the water drop region based on the edge strength of some of the pixels in the circle.

Abstract: A determination method for determining the structure of a convolutional neural network includes acquiring N filters having the weights trained using a training image group as the initial values, where N is a natural number greater than or equal to 1, and increasing the number of the filters from N to M, where M is a natural number greater than or equal to 2 and is greater than N, by adding a filter obtained by performing a transformation used in image processing fields on at least one of the N filters.

Abstract: Edge-based recognition systems and methods are presented. Edges of the object are identified from the image data based on co-circularity of edgels, and edge-based descriptors are constructed based on the identified edges. The edge-based descriptors along with additional perception metrics are used to obtain a list of candidate objects matched with the edge-based descriptors. Through various filtering processes and verification processes, false positive candidate objects are further removed from the list to determine the final candidate object.

Abstract: Apparatus, methods and systems of object recognition are disclosed. Embodiments of the inventive subject matter generates map-altered image data according to an object-specific metric map, derives a metric-based descriptor set by executing an image analysis algorithm on the map-altered image data, and retrieves digital content associated with a target object as a function of the metric-based descriptor set.

Abstract: The present disclosure relates to an image processing device, an image processing method, and a program to make it possible to continuously track an object on a moving image.

Abstract: When searching for a registered image similar to a query image, an image processing apparatus estimates an area having a difference by comparing images determined to be similar if a plurality of similar images is found at the time of search of a similar image using an image feature amount in order to enhance search accuracy. Then, the image processing apparatus compares the query image with the plurality of images similar to the query image based on the difference area.

Abstract: In one embodiment, a fault-aware matched filter augments the output of a component matched filter to provide both fault-aware matched filter output and a measure of confidence in the accuracy of the fault-aware matched filter output. In another embodiment, an optical flow engine derives, from a plurality of images, both optical flow output and a measure of confidence in the optical flow output. The measure of confidence may be derived using a fault-aware matched filter.

Abstract: A machine learning method operates on training instances from a plurality of domains including one or more source domains and a target domain. Each training instance is represented by values for a set of features. Domain adaptation is performed using stacked marginalized denoising autoencoding (mSDA) operating on the training instances to generate a stack of domain adaptation transform layers. Each iteration of the domain adaptation includes corrupting the training instances in accord with feature corruption probabilities that are non-uniform over at least one of the set of features and the domains. A classifier is learned on the training instances transformed using the stack of domain adaptation transform layers. Thereafter, a label prediction is generated for an input instance from the target domain represented by values for the set of features by applying the classifier to the input instance transformed using the stack of domain adaptation transform domains.

Abstract: A homography is determined between a test image and a plurality of database images based on a location of a character along a main line of text of the test image. A similarity score is determined for each of the plurality of database images based on the determined homography. The similarity score may measure a similarity of a characteristic between the test image and the corresponding database image. The characteristic may be at a location separate from the main line of text of the test image. A type of the test image may be selected based on the similarity scores.

Abstract: Evaluating structural changes in a sample resulting from a treatment of the sample. At least one sample of the material is scanned before and after the treatment and a first and a second image of the sample are obtained. The first and the second images are registered in a full spatial resolution using at least one region of the first image and at least one region of the second image, the regions corresponding to the same part of the sample. The registered images are analyzed and the changes in each sample caused by the performed treatment are evaluated.

Abstract: Exemplary system, method and computer-accessible medium for determining a difference(s) between two sets of subjects, can be provided. Using such exemplary system, method and computer-accessible medium, it is possible to receive first imaging information related to a first set of subjects of the two sets of the subjects, receive second imaging information related to a second set of subjects of the two sets of subjects, generate third information by performing a decomposition procedure(s) on the first imaging information and the second information, and determine the difference(s) based on the third information.

Abstract: Disclosed herein are methods and systems for generating a fingerprint for verification of a reference object, such as a layer or ply during a composite laminate layup procedure. An exemplary method includes generating a plurality of images of the reference object from a plurality of angles, removing at least one lighting effect from at least one reference image to generate at least one processed image, generating a reference fingerprint for the reference object based on the at least one processed image, generating at least one candidate image of a candidate object, generating a candidate fingerprint for the candidate object based on the at least one candidate image, comparing the candidate fingerprint and the reference fingerprint to determine whether a correlation exists between the candidate fingerprint and the reference fingerprint, and generating an alert based on the comparison of the candidate fingerprint and the reference fingerprint.

Abstract: Examples relate to providing spatial analysis using attribute graphs. In one examples, there are a number of spatial points that each represent characteristics in a dimensional space. Non-data points are generated in the dimensional space, and a Delaunay triangulation is performed using the spatial points and the non-data points to generate a plurality of edges, where interior points of the plurality of non-data points that are in an interior space of the plurality of spatial points are excluded from the Delaunay triangulation. Next, spatial edges from the plurality of edges that each connect a spatial point that is connected to a first mixed edge to another spatial point that is connected to a second mixed edge are identified, where the spatial edges are used to generate a robust contour of a cluster of the spatial points.

Abstract: Techniques are described to generate improved training data for pixel labeling. To generate training data, objects are displayed in a user interface by a computing device, e.g., iteratively. The objects are taken from a structured object representation associated with a respective one of a plurality of images. The structured object representation defines a hierarchical relationship of the objects within the respective image. Inputs are then received that are originated through user interaction with the user interface. The inputs label respective ones of the iteratively displayed objects, e.g., as text, a graphical element, background, foreground, and so forth. A model is trained by the computing device using machine learning.

Abstract: Disclosed are a training method and apparatus for a CNN model, which belong to the field of image recognition. The method comprises: performing a convolution operation, maximal pooling operation and horizontal pooling operation on training images, respectively, to obtain second feature images; determining feature vectors according to the second feature images; processing the feature vectors to obtain category probability vectors; according to the category probability vectors and an initial category, calculating a category error; based on the category error, adjusting model parameters; based on the adjusted model parameters, continuing the model parameters adjusting process, and using the model parameters when the number of iteration times reaches a pre-set number of times as the model parameters for the well-trained CNN model. After the convolution operation and maximal pooling operation on the training images on each level of convolution layer, a horizontal pooling operation is performed.

Abstract: A normalization method in grouped feature data for recognizing human cognitive states, comprising: (1) divide feature data into groups; (2) selecting normalization functions and estimating grouping parameters; (3) building grouped normalization functions, substitute normalization function parameters of each group into its normalization function, the normalization mapping relationship of each group is get; (4) grouped normalization processing, each group uses corresponding normalization function to transfer the feature data to finish feature normalization.

Abstract: Systems and techniques are disclosed for labeling objects within an image. The objects may be labeled by selecting an option from a plurality of options such that each option is a potential label for the object. An option may have an option score associated with. Additionally, a relation score may be calculated for a first option and a second option corresponding to a second object in an image. The relation score may be based on a frequency, probability, or observance corresponding to the co-occurrence of text associated with the first option and the second option in a text corpus such as the World Wide Web. An option may be selected as a label for an object based on a global score calculated based at least on an option score and relation score associated with the option.

Abstract: The present application discloses a method and apparatus for obtaining a semantic label of a digital image. An implementation of the method includes: obtaining the digital image; looking up a semantic label model corresponding to the digital image, the semantic label model being used for representing correlation between digital images and semantic labels, and a semantic label being used for literally describing a digital image; and introducing the digital image into the semantic label model to obtain full-image recognition information and local recognition information corresponding to the digital image, and combining the full-image recognition information and the local recognition information to form a semantic label, the full-image recognition information being a summarized description of the digital image, and the local recognition information being a detailed description of the digital image.

Abstract: An information processing apparatus prints, when a first product is read by a reading apparatus, a first work instruction sheet including information about all products to be delivered to a first destination of the read first product, prints, if all products to be delivered to the first destination are read by the reading apparatus, a first shipping label for delivery to the first destination, determines, if a second product to be delivered to a second destination different from the first destination is read by the reading apparatus, whether any other product is to be delivered to the second destination, and prints, if it is determined that there no other product is to be delivered to the second destination, a second shipping label for delivery to the second destination.

Abstract: A printing system includes a printer and an information processing device that includes a processor and a memory storing processor-executable instructions, the instructions being configured to, when executed by the processor, cause the processor to, when there is not information stored in a queue area of the memory, determine to instruct the printer to start a pre-printing operation based on preparation instruction information, when there is information stored in the queue area, determine not to instruct the printer to start the pre-printing operation, in response to determining to instruct the printer to start the pre-printing operation, store the preparation instruction information into the queue area, in response to determining to instruct the printer to start the pre-printing operation and storing the preparation instruction information into the queue area, generate print data based on specified contents data, and store print instruction information into the queue area.

Abstract: There is provided an image forming apparatus including a display, a storage unit, an image forming unit, and a control unit. The control unit is configured to perform acquiring bibliographic information about a plurality of print data including the first print data and the second print data, and then displaying a print data selection screen on the display unit based on the bibliographic information so that an instruction to select the print data based on which the image forming unit forms the image can be issued, determining that the first print data can be acquired from the external apparatus and bringing the selection screen into a first display state, and determining that the first print data cannot be acquired from the external apparatus and bringing the selection screen into a second display state.

Abstract: A method is disclosed. The method includes intersecting a clip polygon with a source image, determining destination coordinates of the clip polygon, rasterizing the clip polygon, determining a bounding box, dividing the bounding box into a plurality of logical destination tiles, processing the destination tiles to determine coordinates of source tiles corresponding to each of the destination tiles and performing rotation processing of the source tiles, wherein each tile is processed independently.

Abstract: The invention provides an image forming device, which can generate a multi-valued image based on a binary image. An image forming device includes: an image acquisition part for acquiring a binary image; and a multi-valued image generation part generating a multi-valued image including a specific pixel based on pixel values of pixels within a first image region with a first size including the specific pixel and pixel values of pixels within a second image region with a second size different from the first size including the specific pixel in the binary image.

Abstract: An image processing device includes a dithering circuit, a gradation correction pattern generating circuit, and a gradation correction pattern correcting circuit. The dithering circuit performs a dithering process on image data to generate dithered image data. The gradation correction pattern generating circuit sets, in multi-valued data, gradation information of each of pixels of the generated dithered image data, and generates a gradation correction pattern imitating the dithered image data. The gradation correction pattern correcting circuit performs pattern matching on the generated gradation correction pattern, and corrects the generated gradation correction pattern in accordance with a result of the pattern matching.

Abstract: A printing apparatus includes a control unit configured to control a printing unit to start printing on sheets after confirming that a number of sheets used for printing does not exceed an upper limit number of sheets bindable by a first binding processing in a case where the first binding processing is specified and control the printing unit to start printing on sheets without confirming that a number of sheets used for printing does not exceed an upper limit number of sheets bindable by a second binding processing in a case where the second binding processing is specified.

Abstract: An aspect of the disclosure includes a security system and method having a key with nanoscale features. The key includes a body. At least one pattern member disposed on the body, the pattern member formed using a directed self-assembly polymer to define a pattern of random feature structures thereon, the feature structures having a width of less than 100 nanometers.

Abstract: The present disclosure discloses a specific bar code and a forming method of the bar code, comprising: forming without a particular order on the printing stock: at least a one-dimensional bar code and color information and/or grayscale information in an area corresponding to the one-dimensional bar code, which are superimposed on the printing stock, respectively, wherein data information is generated by identifying the color information and the grayscale information; and if acquired by a portable electronic device having an image capture function, identifying the one-dimensional bar code and the color information and/or grayscale information, respectively, wherein a false positive ratio of identifying the one-dimensional bar code is less than 40%.

Abstract: Disclosed are various embodiments for providing access control to the underlying data of a single machine-readable identifier when read by various reader devices. A client device may receive a first cryptographic key associated with a first device profile and a second cryptographic key associated with a second device profile. Data provided through an ingestion process is formatted into at least a first portion of data and a second portion of data, where the first portion of data is intended for a first reader device and the second portion of data is intended for a second reader device. The first portion of data may be encrypted using the first cryptographic key while the second portion of data is encrypted using the second cryptographic key. A machine-readable identifier may be generated using the first portion of data as encrypted and the second portion of data as encrypted.

Abstract: The disclosure relates to a temperature-controlled oscillator.

Abstract: Disclosed is an electronic document, such as an integrated circuit card, that includes a body having a cavity that opens into one of the faces of the body and is defined by walls. The body also includes: an antenna having at least one turn extending between two ends that terminate in a wall of the cavity, a module including a microprocessor and at least two connection terminals dedicated to the antenna and electronically connected by electrical connections firstly to the microprocessor and secondly to the ends of the antenna. The ends of the antenna are arranged in zigzag shapes and each of them is made up of at least two rectilinear portions that are connected together by a bend and in which the rectilinear portion terminating in the cavity is at an angle of inclination relative to the wall at which it terminates.

Abstract: A HF-band wireless communication device includes a wireless IC configured to process a radio signal, a first substrate including a first inductor pattern coupled to the wireless IC, and a second substrate which includes a coil-shaped second inductor pattern coupled in series to the first inductor pattern. An L value of the first inductor pattern is greater than an L value of the second inductor pattern, and the L value of the first inductor pattern is dominant in a resonant frequency of a resonance circuit including the first and second inductor patterns. A winding diameter of the second inductor pattern is greater than a winding diameter of the first inductor pattern, and the second inductor pattern defines a main radiating element.

Abstract: A method is provided for improving a nucleic acid-based molecular computing system comprised of (i) a nucleic acid structure, (ii) at least one polynucleotide displacement molecule that can bind with the nucleic acid structure under hybridizing conditions, and (iii) a clashing polynucleotide molecule that competes with the polynucleotide displacement molecule for binding the nucleic acid structure under the hybridizing conditions The method entails incorporation of chemical modification that inhibits the binding of the clashing molecule and the nucleic acid structure or facilitates the binding of the displacement molecule and the nucleic structure.

Abstract: The operation of an application on a first device may be guided by a user operating a second device. The application on the first device may present a character on a display of the first device and obtain an audio signal of speech of a user of the first device. Audio data may be transmitted to the second device and corresponding audio may be played from speakers of the second device. The second device may present suggestions of phrases to be spoken by the character displayed on the first device. A user of the second device may select a phrase to be spoken by the character. Phrase data may be transmitted to the first device, and the first device may generate audio of the character speaking the phrase using a text-to-speech voice associated with the character.

Abstract: A gesture classification apparatus and method is disclosed. The apparatus may include a feature extractor configured to extract a plurality of features using a electromyogram (EMG) data group obtained from an EMG signal sensor including a plurality of channels, an artificial neural network including an input layer to which the EMG data group corresponding to the plurality of features is input and an output layer configured to output a preset gesture corresponding to the plurality of features, and a gesture recognizer configured to recognize a gesture performed by a user and corresponding to the extracted features.

Abstract: Boltzmann machine includes a plurality of circuit units each having an adder that adds weighted input signals and a comparison unit that compares an output signal of the adder with a threshold signal to output a binary output signal; and digital arithmetic units each generating the weighted input signals by weighting the binary output signal of the circuit units with a weight. The comparison unit has a first comparator that compares a thermal noise with a reference voltage to output a binary digital random signal, a DA converter that converts the digital random signal to an analog random signal and varies a magnitude of the analog random signal, and a second comparator that compares the output signal of the adder with the analog random signal to generate the binary output signal with a predetermined probability function.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for implementing a compressed recurrent neural network (RNN). One of the systems includes a compressed RNN, the compressed RNN comprising a plurality of recurrent layers, wherein each of the recurrent layers has a respective recurrent weight matrix and a respective inter-layer weight matrix, and wherein at least one of recurrent layers is compressed such that a respective recurrent weight matrix of the compressed layer is defined by a first compressed weight matrix and a projection matrix and a respective inter-layer weight matrix of the compressed layer is defined by a second compressed weight matrix and the projection matrix.

Abstract: The disclosed embodiments illustrate a method and a system for predicting future activities of a user on a social media platform. The method includes extracting a first time series of one or more historical activities performed by the user from a social media platform server. The method further includes receiving a second time series of one or more future events from a requestor-computing device. The method further includes determining a first set of forecast values and a second set of forecast values based on the first time series and/or the second time series, wherein the first set of forecast values is determined using an ARIMA technique, and the second set of forecast values is determined using a regression modelling technique. The method further includes predicting the future activities of the user based on the first set of forecast values and the second set of forecast values.