Abstract: A method for managing video data including selecting a target object from a monitored area monitored by at least one image capturing device, extracting feature data of the selected target object, detecting motion of an object occurring in video data corresponding to the monitored area, comparing feature data the object causing the detected motion with the extracted feature data of the target object, and outputting information related to the object causing the motion when the comparing step determines the object causing the motion is the target object.

Abstract: A method of representing an object appearing in a still or video image, by processing signals corresponding to the image, comprises deriving a plurality of numerical values associated with features appearing on the outline of an object starting from an arbitrary point on the outline and applying a predetermined ordering to said values to arrive at a representative of the outline.

Abstract: An apparatus for input and fingerprint recognition on a handheld electronic device includes (1) a touchscreen having a touch resolution portion and a fingerprint sensor distinct from the touch resolution portion; and (2) a data processor coupled to the touchscreen. The touch resolution portion has a touch resolution for detecting a touch input on the touch surface. The data processor is configured to selectively operate the fingerprint sensor in one of a fingerprint resolution mode for sensing a fingerprint on said touch surface and a touch input mode for detecting the touch input on said touch surface.

Abstract: Methods of imaging objects based on wavelet retrieval of scenes utilize wavelet transformation of plural defined regions of a query image. By increasing the granularity of the query image to greater than one region, accurate feature vectors are obtained that allow for robust extraction of corresponding regions from a database of target images. The methods further include the use of sliding windows to decompose the query and target images into regions, and the clustering of the regions utilizing a novel similarity metric that ensures robust image matching in low response times.

Abstract: The present invention is directed to an imaging apparatus for examining an object having smooth surfaces to determine shape deformations in the surface of object. The imaging apparatus includes an imaging device for obtaining a scanned image of the object to be examined. A reference image of the object is stored in a memory. An image register is coupled to the imaging device and to the memory containing the reference image of the object. The image register stores patch information corresponding to both the reference image and the scanned image. A transformation estimator is coupled to the image register, and provides a transform for registering the scanned image to the reference image. A deformation estimator is coupled to the transformation estimator and to the image register. The deformation estimator is configured to utilize the transform and the patch information to determine shape deformations of the object.

Abstract: An image processing apparatus and method in which voice information is input to specify an object contained in a moving picture, the input voice information is recognized and analyzed, parameters representing the object to be extracted are generated based upon the result of recognition and analysis, and the object is extracted from the moving picture based upon the extracted/generated parameters.

Abstract: An shape data approximation method for reducing the amount of data with an adjacency relationship between a plurality of components maintained. The shape data is read, an adjacent region of the shape data is designated, a virtual surface and a virtual edge are created in the designated adjacent region, and each edge in the shape data is evaluated to determine a evaluation score. The evaluation score is based on a change in the shape of the adjacent region on the assumption that the virtual edge is removed. The edges are subjected to data sorting, and an edge having a low evaluation score is removed with high priority, and resulting approximate shape data is thus output.

Abstract: The current edge pair determination system and method determine whether or not an edge pair and certain image characteristics of pixels between the edge pair as a whole or a unit is a part of a character based upon a change in pixel values. The change is compared to a predetermined set of conditions that are exclusionary in nature. Since the edge pair as well the image characteristics of pixels between the edge pair are considered, the accuracy in the character edge determination has improved.

Abstract: A method of segmentation of cell nuclei is described that uses an active contours approach based on a Viterbi search algorithm. Also disclosed is an initialisation technique that maximises the probability of a correct segmentation. The invention also includes a method to classify cell nuclei according to the difficulty of correct segmentation. Nuclei that are difficult to segment can be rejected to minimise the probability of false positives. The probability of false positives can be driven close to 0%.

Abstract: The present invention segments a non-segmented input text. The input text is received and segmented based on parameter values associated with parameterized word formation rules. In one illustrative embodiment, the input text is processed into a form which includes parameter indications, but which preserves the word-internal structure of the input text. Thus, the parameter values can be changed without entirely re-processing the input text.

Abstract: An image region of an image data memory is dissected into a plurality of search sections. Brightness change points in each of the search sections are counted based on image data of each search section. A candidate region having a likelihood of involving an information code is detected based on the count value of the brightness change points. And, the candidate region is identified as the existing area of the information code.

Abstract: The objective of the present invention is to provide a simple and accurate process for extracting an object from an image, which is used to impose a great load for an operator. According to the present invention, an image processing apparatus comprises an object extracting unit, for performing a predetermined process for image data for a position or an area that is designated and for extracting a specific object from an image, an outline part deciding unit, for selecting and authenticating an arbitrary segment of an outline obtained by the extracting unit, and an outline synthesis unit, for linking and synthesizing together the outline segments that are authenticated. Since a closed curve is formed by synthesizing the outline segments obtained by repeating the above process, and the outline of the object is thus determined, the outline segment that is extracted from the image and matches the correct outline of the object is sequentially selected and authenticated.

Abstract: An input image is converted into an image in a predetermined format. An optimal character recognition resolution determination unit determines, using the converted image, an optimal resolution to be used upon executing character recognition of the input image. A character recognition circuit executes character recognition of the input image on the basis of the determination result. An output circuit outputs the recognition result.

Abstract: A touchpad pointing device utilized as a pattern input device for a pattern recognition system. The input pattern received from the touchpad pointing device is translated into a start application command. The recognition system forms part of a computer having an operating system and includes a touchpad pointing device, a recognition module and a signal capturer. In addition, a unit for launching an application to run on a computer having an operating system and a pointing device which produces an input pattern in response to movement upon it, is described. The unit includes a recognition module and a launcher. The recognition module attempts to recognize the input pattern as a previously trained launching pattern. The launcher launches the application by providing a launching command which is associated with the launching pattern to the operating device. A security application enables access to the computer upon receipt of an input signature from a user with access privileges.

Abstract: The present invention provides an image recognition method whereby the influence of noise due to fluctuations of the ambient environment can be minimized and which has good response and high recognition accuracy, without using binary processing.

Abstract: In an apparatus and method for creating a three-dimensional model of an object, images of the object taken from different, unknown positions are processed to identify the points in the images which correspond to the same point on the actual object (that is “matching” points), the matching points are used to determine the relative positions from which the images were taken, and the matching points and calculated positions are used to calculate points in a three-dimensional space representing points on the object. A number of different techniques are used to identify the matching points, and a number of solutions are calculated and tested for the relative positions, the solution which is consistent with the largest number of matching points being selected.

Abstract: The present invention is embodied in a curve matching system and method that is guided by a set of matched corners. The corner guided curve matching produces a geometrical representation of the scene from the images, which can be used for any suitable application, such as computer and stereo vision applications. In general, first, multiple images depicting a scene are digitally received by the system. The images are graphical images digitally received and processed. For example, the images can be two dimensional image data, such as bitmap or raster image data. Curves of the images are then matched to correlate the two images of the scene for creating three dimensional (3D) curve information, such as 3D vector or mathematical information, of the scene. This 3D vector information can then be used in any suitable manner, for example, to digitally reconstruct the scene for stereo vision applications.

Abstract: An image recognition apparatus operates on data of a color image to obtain an edge image expressing the shapes of objects appearing in the color image, the apparatus including a section for expressing the color attributes of each pixel of the image as a color vector, in the form of a set of coordinates of an orthogonal color space, a section for applying predetermined arrays of numeric values as edge templates to derive for each pixel a number of edge vectors each corresponding to a specific edge direction, with each edge vector obtained as the difference between weighted vector sums of respective sets of color vectors of two sets of pixels which are disposed symmetrically opposing with respect to the corresponding edge direction, and a section for obtaining the maximum modulus of these edge vectors as a value of edge strength for the pixel which is being processed.

Abstract: Disclosed is a method for recognizing multi-language printed documents, a method for extracting character features according to the present invention, the method comprising the steps of: a) normalizing characters to a fixed size; b) converting the size-fixed characters into mesh-type characters; c) extracting stroke features of each of the mesh-type characters; d) extracting non-stroke features of each of the mesh-type characters; and e) extracting the character features using the stroke features and the non-stroke features. The present invention provides a high recognition rate irrespective of the size and modification of the characters, by extracting the character feature from the stroke and non-stroke in the mesh block.

Abstract: Aspects for allowing variably controlled alteration of image processing of digital image data in a digital image capture device include forming an image processing chain with two or more image processors to process digital image data, and providing one or more parametric controls within each of the two or more image processors. The aspects further include accessing chosen controls of the one or more parametric controls to modify the two or more image processors for alteration of the image processing.