Abstract: A registration system and method includes a configurable device (104) having one or more moveable features (122) such that movement of the moveable features can be determined relative to a reference to define a specific configuration of the configurable device. An imaging system (110) has a display on which the configurable device is viewable. A processing device (112) is configured to register the configurable device with a coordinate system of the imaging system based on the specific configuration of the configurable device.

Abstract: A statistical point pattern matching technique is used to match corresponding points selected from two or more views of a roof of a building. The technique statistically selecting points from each of orthogonal and oblique aerial views of a roof. generating radial point patterns for each aerial view, calculating the origin of each point pattern, representing the shape of the point pattern as a radial function, and Fourier-transforming the radial function to produce a feature space plot. A feature profile correlation function can then be computed to relate the point match sets. From the correlation results, a vote occupancy table can be generated to help evaluate the variance of the point match sets, indicating, with high probability, which sets of points are most likely to match one another.

Abstract: Methods for image based localization using an electronic computing device are presented, the methods including: capturing a local image with an image capture device; associating metadata with the local image; causing the electronic computing device to receive the local image; causing the electronic computing device to match the local image with a database image, where the database image is three-dimensional (3D); and calculating a pose of the image capture device based on a pose of the database image and metadata associated with the local image. In some embodiments, the metadata includes at least pitch and roll data corresponding with the image capture device at a time of image capture.

Abstract: A statistical point pattern matching technique is used to match corresponding points selected from two or more views of a roof of a building. The technique entails statistically selecting points from each of orthogonal and oblique aerial views of a roof, generating radial point patterns for each aerial view, calculating the origin of each point pattern, representing the shape of the point pattern as a radial function, and Fourier-transforming the radial function to produce a feature space plot. A feature profile correlation function can then be computed to relate the point match sets. From the correlation results, a vote occupancy table can be generated to help evaluate the variance of the point match sets, indicating, with high probability, which sets of points are most likely to match one another.

Abstract: Data-driven guarded evaluation of conditional-data associated with data objects is used to control activation and processing of the data objects in an interactive geographic information system. Methods of evaluating conditional-data to control activation of the data objects are disclosed herein. Data structures to specify conditional data are also disclosed herein.

Abstract: A method for constructing an image model (M1; M) from at least one image data input (IV1; IV1-IVn), comprises the steps of, in an iterative way, determining at least one state (PS1; PS1-PSn) of said at least one image data input (IV1; IV1-IVn), and a state (PSMF) of an intermediate learning model (MF; MIF) determining a target state (TSP) from said at least one state (PS1; PS1-PSn) of said at least one image data input, and from the state (PSMF) of said intermediate learning model (MF; MIF), performing at least one transformation in accordance with the determined target state (TSP) on said at least one image data input (IV1; IV1-IVn), thereby generating at least one transformed image (IV1T; IV1T-IVnT), aggregating said at least one transformed image (Iv1T; IV1T-IVnt) with intermediate learning model (MF; MIF; MIT; MFT) information, thereby generating an updated estimate of said image model (M1; M), providing said updated estimate of said image model (M1; M) as said image model (M1; M) while also providing

Abstract: Method for adapting a 3D model (m) of an object, said method comprising the steps of performing at least one projection of said 3D model to obtain at least one 2D image model projection (p1) with associated depth information (d1), performing at least one state extraction operation on said at least one 2D image model projection (p1), thereby obtaining at least one state (s1) adapting said at least one 2D image model projection (p1) and said associated depth information (d1) in accordance with said at least one state (s1) and with a target state (s), thereby obtaining at least one adapted 2D image model (p1?) and an associated adapted depth (d1?) back-projecting said at least one adapted 2D image model (p1?) to 3D, based on said associated adapted depth (d1?) for thereby obtaining an adapted 3D model (m?).

Abstract: An image processing apparatus includes an extraction section that extracts a first high brightness region from a source image where brightness is a first threshold value or greater, a mask generation section that performs blur processing and binarization processing on the first high brightness region and generates a mask containing the first high brightness region, a mask application section that based on the mask performs elimination processing, thinning processing, or both on the first high brightness region, a bright line generation section that generates a bright line based on a second high brightness region contained in output of the mask application section, and a synthesizing section that synthesizes the bright line onto the source image.

Abstract: The present invention provides an image compression method, comprising: determining non-edge portions of an image to be compressed by performing an image edge detection on the image to be compressed; dividing each of non-edge portions into a plurality of connected domains of pixels according to color similarity of the pixels in the non-edge portion, wherein each of the connected domains of pixels is composed of a pixel selected during the division into the connected domains of pixels and the pixels similar in color to and continuously adjacent to the selected pixel; setting the color of each of the connected domains of pixels to be the color of the selected pixel; merging the colors of a plurality of divided connected domains of pixels according to similarity of the colors of the connected domains of pixels; and compressing the image to be compressed by using the merged colors.

Abstract: An apparatus and method for encoding and decoding an image are provided. The image decoding method includes decoding luma blocks according to a predetermined decoding mode of each of the luma blocks, and decoding chroma blocks according to the predetermined decoding mode of each of the luma blocks.

Abstract: A device captures a digital image of a color of interest and a physical color calibration chart. A corrected color value of the color of interest is determined based on the physical color calibration chart and the color of interest as captured within the digital image. A selected color value for the corrected color value is determined, as a closest color value within a predetermined color space or as a spot color value within the predetermined color space.

Abstract: One exemplary embodiment involves receiving an image with a set of undefined pixels and a set of defined pixels and recursively modifying the image to generate a seamless composition comprising only defined pixels. Disclosed are embodiments for recursively modifying the image by recursively down sampling the image by a factor to generate a plurality of down sampled images until the down sampled image generated at each recursive down sampling lacks undefined pixels and then recursively up sampling each one of the down sampled images by the factor to generate an up sampled image from the respective down sampled image. Additionally, at each recursive up sampling instance, pasting the next recursively occurring down sampled image on the up sampled image to generate the next recursively occurring image for up sampling.

Abstract: An image processing apparatus includes a separating unit, an analyzing unit, a determining unit, and an image correcting unit. The separating unit separates a color image into a foreground image and a background image. The analyzing unit analyzes the foreground image and the background image to acquire a foreground attribute value and a background attribute value. The determining unit determines an image processing coefficient, based on the foreground attribute value and the background attribute value. The image correcting unit corrects the color image, in accordance with the image processing coefficient.

Abstract: A method of detection of numbered captions in a document includes receiving a document including a sequence of document pages and identifying illustrations on pages of the document. For each identified illustration, associated text is identified. An imitation page is generated for each of the identified illustrations, each imitation page comprising a single illustration and its associated text. For a sequence of the imitation pages, a sequence of terms is identified. Each term is derived from a text fragment of the associate text of a respective imitation page. The terms of a sequence complying with at least one predefined numbering scheme which defines a form and an incremental state of the terms in a sequence. The terms of the identified sequence of terms are construed as being at least a part of a numbered caption for a respective illustration in the document.

Abstract: Machines, systems and methods for character recognition disambiguation are provided. The method comprises selecting a first set of characters that match a first visual profile based on results of a character recognition process applied to target content; selecting a subset of the first set based on criteria associated with at least one of confidence level with which characters grouped in the subset are recognized or fragmentation associated with the characters grouped in the subset; and disambiguating recognition results for the characters grouped in the subset by displaying the characters along with context information, wherein reviewing two or more of the characters on a display screen along with context information associated with said two or more characters allows a human operator to select one or more suspect characters from among the two or more characters.

Abstract: Example embodiments relate to document alteration based on native text analysis and optical character recognition (OCR). In example embodiments, a system analyzes native text obtained from a native document to identify a text entity in the native document. At this stage, the system may use a native application interface to convert the native document to a document image and perform OCR on the document image to identify a text location of the text entity. The system may then generate an alteration box (e.g., redaction box, highlight box) at the text location in the document image to alter a presentation of the text entity.

Abstract: An apparatus for document identification, having a capture device for capturing a document feature of a document, a processor that is designed to perform document identification locally using the document feature if a processing criterion for the local performance of document identification by means of the apparatus for document identification is satisfied, and a transmitter that is designed to send a data record that is dependent on the document feature via a communication network to a communication network address if the processing criterion for the local performance of document identification by means of the apparatus for document identification is not satisfied.

Abstract: When a handwritten image is input using a handwriting input device while an image based on any general data stored in a storage unit is being displayed on a display unit, the input/output apparatus displays a handwritten image in addition to the displayed image, and creates handwritten data including data specifying information specifying general data which is a basis for the displayed image. The input/output apparatus terminates the display of the handwritten image when the display of the image superposed by the handwritten image is terminated, and displays the image based on the data specified by the data specifying information included in the handwritten data when the handwritten image is displayed. This allows the association between the displayed image and the handwritten image to be saved and to easily be reproduced.

Abstract: Provided are a character display apparatus, a character display method and computer readable medium storing a character display program that are capable of automatically avoiding a handwriting character being illegible during input of the character. Based on trajectory data of a handwriting character, detecting an overlap between lines to be drawn during drawing, to determine presence/absence of an illegible part. If it is determined that an illegible part is present, the thickness of the handwriting character is automatically selected again to be thinner and the image of the handwriting character is drawn again, which avoids illegible part occurring in the handwriting character without inputting the character all over again.

Abstract: Determining a match between the subjects of first and second images as a function of decimal-number representations of regions of the first and second images. The decimal-number representations are generated by performing discrete transforms on the regions so as to obtain discrete-transform coefficients, performing local-bit-pattern encoding of the coefficients to create data streams, and converting the data streams to decimal numbers. In one embodiment, the first and second images depict periocular facial regions, and the disclosed techniques can be used for face recognition, even where a small portion of a person's face is captured in an image. Subspace modeling may be used to improve accuracy.

Abstract: Provided is a characteristic point associating system including: a set creating unit to receive a plurality of characteristic point groups to be compared, and to create a plurality of characteristic point pair sets by grouping together characteristic point pairs that are close to one another in terms of local conversion parameter into sets; a set selecting unit to select a characteristic point pair set that contains many elements out of the plurality of characteristic point pair sets; and a corresponding characteristic point determining unit to determine out of characteristic point pairs contained in the selected characteristic point pair set, a pair of characteristic points to be associated with each other as correct corresponding characteristic points so as to be output. Thus, the characteristic point associating system associates correct pairing combinations of characteristic points that exist between the compared groups of characteristic points.

Abstract: Two different approaches for reducing the bit depth of the image data so as to reduce the computation and hardware requirement of image patch matching, with minimal loss of matching accuracy are described. Patch matching is able to be implemented in many different ways, but generally involves matching one area of an image with another area of the same image or another area of a different image (e.g. another video frame) through the use of a matching cost function. Transforming the image data to lower bit depth, image processing techniques are able to be implemented to minimize the needed memory and other resources for patch-matching. The complexity/performance trade-off of the approaches are also adjustable so that they are able to be applied for applications with different quality requirements and hardware constraints.

Abstract: Aspects of the present invention are related to systems, methods and apparatus for determining the orientation of a text line or a page in a document image. According to a first aspect of the present invention, an image of text blobs may be generated from a text mask associated with a document image. From the text-blob image, pixel-wise horizontal differences may be accumulated and compared to accumulated pixel-wise vertical differences. Text line orientation may be determined as horizontal when the accumulated pixel-wise horizontal differences are less than the accumulated pixel-wise vertical differences. According to a second aspect of the present invention, page orientation may be determined by reconciling an estimated text-line orientation with document language information.

Abstract: The present invention relates to a system and method for identifying scale invariant features of image outlines. The method comprises the steps of; receiving a parametric equation of a closed planar curve; choosing nodes on the closed planar curve with equal intervals; generating a continuous scale space of the nodes on the curve; calculating circle of curvature for every node on the closed curve for every scale in every octave; finding circle of curvature differences between plurality of adjacent scales; comparing each curvature difference value and choosing the nodes with a minimum or maximum curvature difference as feature points; representing the outline with a descriptor including all the feature points. The method further comprises the steps; eliminating the feature points which are closer to each other than a predetermined threshold; and comparing a descriptor with each previously recorded descriptor belonging to various outlines, finding at least one descriptor with a good match.

Abstract: Provided are an image processing apparatus, image processing method and a computer-readable, non-transitory medium that can accurately detect document edges from a readout image. The image processing apparatus includes a first edge pixel detector for detecting a plurality of first edge pixels from an input image, a straight line detector for detecting a straight line from the first edge pixels, a classifying module for classifying the first edge pixels into on-line edge pixels and non-on-line edge pixels, a second edge pixel detector for detecting second edge pixels located between two of the on-line edge pixels, when there is any one of the non-on-line edge pixels between two of the on-line edge pixels, and a determining module for determining whether the non-on-line edge pixel represents a document edge, based on whether the two on-line edge pixels are connected by the second edge pixels via the non-on-line edge pixel.

Abstract: A method for processing an image is described. Mask bits are determined for a current pixel. The mask bits indicate intensity comparisons between the current pixel and multiple neighboring pixels. The mask bits also indicate whether each of the current pixel's neighboring pixels have been processed. A next pixel is selected for processing based on the mask bits.

Abstract: Embodiments of methods, apparatuses, and storage mediums associated with controlling content capture of prohibited content on remote devices, are disclosed. In embodiments, components of a remote device may receive image data of an image captured by the remote device and analyze the image data to determine whether the image includes prohibited content. In embodiments, the remote device may conditionally display or persistently store the image data, based at least in part on a result of the analysis.

Abstract: Disclosed herein is a method of fast image matching that includes the steps as follows. A template image with a predetermined angular orientation is compared with template images in the range from 0 to 360 degrees to create an angle prediction table. Next, a testing image is acquired and compared with the template image with the predetermined angular orientation to record the similarity at each position, and a plurality of angles corresponding to the similarity is found from the angle prediction table. Afterwards, the template images of the plurality of angles are respectively compared with the testing image to obtain the highest similarity as a comparison result of the position.

Abstract: In one embodiment, an information processing apparatus includes a calculation section, an identification section, and a notification section. The calculation section is configured to calculate similarity among a plurality of documents. The identification section is configured to identify, in response to a change made to a first document, a second document having a similarity greater than or equal to a first criterion as compared to the first document before the change. The notification section is configured to notify a user of the identified second document that the first document has been changed, in response to the change to the first document.

Abstract: Image classification techniques are described for adjustment of an image. In one or more implementations, an image is classified by one or more computing device based on suitability of the image for adjustment to correct perspective distortion of the image. Responsive to a classification of the image as not suitable for the adjustment, suitability of the image is detected for processing by a different image adjustment technique by the one or more computing devices.

Abstract: A system has an aerial image database containing sensor data representing a plurality of aerial images of an area having multiple sub-areas. A processor applies a classifier to the sensor values to identify a label for each sub-area in each aerial image and to thereby generate an initial label sequence for each sub-area. The processor identifies a most likely land cover state for each sub-area based on the initial label sequence, a confusion matrix and a transition matrix. For each sub-area, the processor stores the most likely land cover state sequence for the sub-area.

Abstract: A code that stores a history of what has been done to it and where it has been. The history can be stored in a local memory. The code can be changed based on that history.

Abstract: Computer implemented methods, systems and computer program codes for creating visual content to be output. The methods and systems are applicable in content visualizations wherein the content to be output is to be formed in a layered manner. According to the method image content item or items are received and are categorized on a basis of content type to one or more categories. The image content item or items in the category or categories are rendered into one or more raster canvases, which represent image content data in the category. The image content data from the raster canvases are compressed, wherein the compression method for image content data in each of the raster canvases is selected on a basis of the categorization of image content items rendered in the raster canvas. The compressed image content data from the raster canvas is stored in a memory for further actions.

Abstract: An image encoding apparatus includes an input unit that receives image data; a prediction unit that calculates a predicted pixel value of a pixel of interest to be processed in the image data; a prediction error calculating unit that calculates a prediction error value by using an actual pixel value and the predicted pixel value of the pixel of interest; a main encoder that encodes the prediction error value with information including a number of bits and an error value, the main encoder encoding, as the error value, only one or more most significant bits corresponding to a number of effective bits when the number of bits exceeds the number of effective bits; and an additional encoder that encodes one or more least significant bits of the prediction error value, excluding the one or more most significant bits corresponding to the number of effective bits, as an additional error value.

Abstract: A method for removing boundary distortion includes receiving a one-dimensional input signal and determining whether the one-dimensional input signal includes an even number of data elements. If the one-dimensional input signal includes an even number of data elements, an extrapolation operation is performed on one of a first or second boundary of the one-dimensional input signal. The extrapolation operation produces one additional data element. The method may further include performing a mirroring operation on the signal data resulting from the extrapolation operation to produce a mirrored signal, and performing a transform operation the mirrored signal.

Abstract: An image coding method including constructing a plurality of edge models with a Forward Discrete Cosine Transform (FDCT) algorithm; creating adjustment equations each matching one of the edge models; capturing an image comprising pixels; selecting the pixels of the image to define image blocks; detecting by block-edge detection (BED) a pattern collectively exhibited by the pixels in the each of the image blocks and then comparing the detected pattern with patterns of the edge models; changing the patterns of the image blocks to the patterns of the edge models and adjusting the dominating coefficient by the adjustment factor after determining that the patterns of the image blocks approximate to the patterns of the edge models; and performing a coding process on the edge models by LLEC to generate a compressed image corresponding to the edge models. An embedded system is applicable to the image coding method.

Abstract: System and method for enhancing at least one atmospheric parameter of interest provided in remotely-sensed data by detecting and suppressing false alarm data, including computer code to receive measurement data and background including false alarms, computer code to conduct detection tests for the atmospheric parameter, computer code to compute the strength of the tests, and computer code to weight the measurement data based on the strengths and enhance the measurement data based on the weighted data.

Abstract: Systems, methods, and computer readable media to approximate edge-preserving transformations with global transfer functions are described. In general, a first transfer function that approximates an edge-preserving operation can be found which, together with an enhancement filter (e.g., dynamic range compression) may be used to generate a global transfer function. Alternatively, a second transfer function may be found that approximates the behavior of the combined first transfer function and enhancement filter. Together the first and second transfer functions may generate a global transfer function. It has been determined that a down-sampled version of an input image may be used to develop the global transfer function. Application of global transfer functions in accordance with this disclosure can generate an output image that exhibits the same overall tonality of the input image without introducing the loss of detail and other artifacts attributable to local processing (e.g.

Abstract: The invention relates to a method for noise suppression in images of an image sequence. It is an object of the invention to find how an iteratively better adapted noise suppression can be ensured for images of an image sequence, in particular given a rising number of images. According to the invention, this object is achieved by a method for noise suppression which provides a low-pass filter algorithm: Pi,jn+1=?i,jn+1*Pi,jn+(1??i,jn+1)*Qi,jn+1 with an attenuation function ?i,jn+1=?i,jn+1(?0i,jn+1,?i,jn+1).

Abstract: A method and apparatus for detecting an image edge that detects an edge area from an input image is disclosed. The method of detecting the image edge includes removing noise of an input image, generating an intermediate image in which an edge area is accentuated based on the input image and the input image from which the noise is removed, determining a threshold value to be applied to the intermediate image through clustering the pixels of the intermediate image, and detecting an edge area from the intermediate image based on the threshold value.

Abstract: A device is provided that generates a composite image using a first image and a second image having different exposure conditions. The device includes an image input unit, a likelihood calculating unit, an exposure estimating unit, and a compositing unit. The image input unit inputs the first image and the second image. The likelihood calculating unit calculates a subject motion likelihood at each pixel based on a difference between the first image and the second image. The exposure estimating unit estimates an exposure transform function that conforms the exposure conditions of the first image and the second image to each other based on the subject motion likelihood. The compositing unit composites the first image and the second image by using the exposure transform function.

Abstract: A technique is described for combining several image sources into a single output image or video sequence. For a given pixel of the output image, pixel values are received from the image sources, and a matrix of distance measures between the pixel values (e.g. based on their colours) is computed. Clusters of pixel values are formed using the distance measures, and a score determined for each. One of the clusters is selected according to the scores, and used to derive an output pixel value. In an example, the clusters are formed using an iterative process where the closest pairs of pixel values or clusters are merged to form new clusters up to a size threshold. Examples are described for scoring the clusters based on model-based weighting or cluster size. Examples are also described for a rule-based cluster selection system. A composite image generator implementing the technique is also described.

Abstract: A convertible device that is transformable from a storage bag to a marine signal flag by providing water permeable open mesh body of hollow material with stitched edges and an access opening. Rods on the interior of the body are attached to diagonally opposed corners. The rods disconnect to provide a bag form. The rods connect to provide a rigid brace between the diagonally opposed corners of the interior of the material to provide a flag form. Eyelets along a stitched edge of the material are used to attach the device to a flag pole.

Abstract: A high-clarity, cast polypropylene produce pouch with first and second sidewalls and a bottom panel joined to form a pouch wherein the first and second sidewalls and the bottom panel are formed from cast polypropylene. The bottom panel can be a bottom gusset panel. The first and second sidewalls and the bottom gusset panel can have edges joined by side welding or heat sealing. Zipper or slide closures can close the first and second sidewalls. A method for forming a high-clarity, cast polypropylene produce pouch comprises creating a polypropylene (PP) resin, passing the polypropylene (PP) resin through a cast extruding machine and extruding molten polypropylene (PP) to produced extruded polypropylene (PP), rolling the extruded polypropylene (PP) in a cooling roller, and applying a surface-modifying corona treatment to the extruded polypropylene (PP).

Abstract: An apparatus includes a pouch, a flap, a stiffener, a magnet attracting material, and a magnetic member. A first panel is coupled to a second panel along a periphery of the first panel and the second panel with a portion of the panels uncoupled forming an opening. The flap is positionable in an engagement position wherein the flap is positioned parallel to the second panel with the second panel disposed between the flap and the first panel. The stiffener extends across a width of the pouch at a top edge. The magnet attracting material is coupled to one of the second panel and the flap with the magnetic member coupled to the other of the second panel and the flap. The magnetic member has a magnetic field sufficient to attract the magnet attracting material when one or more pieces of material are positioned between the second panel and the flap.

Abstract: A bulk bag and method of making the bulk bag uses lift hoops that are securely linked to eyelets of lift straps that are attached to a bulk bag body so that the bulk bag can be lifted by the lift hoops. The bulk bag body includes a top portion, a bottom portion and a side portion. The lift straps may be attached to the bulk bag body such that at least portions of the lift straps extend along the side portion of the bulk bag body at an angle from the top portion of the bulk bag body to the bottom portion of the bulk bag body.

Abstract: An accessory bag includes a bottom wall, a front wall and a back wall. The wall is made of flexible material. A pair of side walls extends between the front wall and back wall. A first pair of connection rails extends along the front wall. A second pair of connection rails extends along the back wall. A connection handle includes a first end and a second end. A first connector on the first end is configured to cooperate with the first pair of pair of connection rails. A second connector on the second end is configured to cooperate with the second pair of connection rails. In addition, the connection handle includes a handle.

Abstract: A canine waste containment system includes one or more pockets and a pouch with a liner. In embodiments, the canine waste containment system may be attached to a harness, collar, or leash via one or more retainer straps and worn on the back of the canine.

Abstract: A reusable food pouch for holding solid, semi-solid and liquid foods. In one embodiment, the food pouch includes first and second flexible sheets joined together to form a container. A spout extends from the container and allows food to exit the spout when opened and prevents the food from exiting the spout when the spout is closed. A spout portion of the container secures the spout to the container. The spout portion extends further than all other portions of the container in a direction parallel to the length of the spout. A zipper portion of the container attaches and separates the flexible sheets along the length of a zipper. The length of the zipper is parallel to the length of the spout.

Abstract: An apparatus and method is provided for sealing a balloon. The apparatus includes a body for placing in the balloon that is buoyant in water and which has an outer surface that can form a water-tight seal with the inside surface of the balloon. When the balloon is filled with water, the body floats to the top of the water and, if the balloon is filled sufficiently, seals against the opening of the balloon.