Abstract: An image processing apparatus comprises an image processing unit configured to execute image processing which involves a change in a boundary shape of image data; a face detection unit configured to detect a face region included in the image data; a setting unit configured to set a parameter of the image processing; and a determination unit configured to determine whether or not to execute the image processing or whether or not to output a warning in accordance with the parameter of the image processing set by the setting unit and a position of the face region detected by the face detection unit.

Abstract: Classification algorithm optimization is described. In an example, a classification algorithm is optimized by calculating an evaluation sequence for a set of weighted feature functions that orders the feature functions in accordance with a measure of influence on the classification algorithm. Classification thresholds are determined for each step of the evaluation sequence, which indicate whether a classification decision can be made early and the classification algorithm terminated without evaluating further feature functions. In another example, a classifier applies the weighted feature functions to previously unseen data in the order of the evaluation sequence and determines a cumulative value at each step. The cumulative value is compared to the classification thresholds at each step to determine whether a classification decision can be made early without evaluating further feature functions.

Abstract: Systems, methods, and computer-readable storage media for editing the frequency content of an image may provide an intuitive interface for examining and/or modifying the frequency content. The methods may include accessing image data, performing a wavelet transform of the image data (or another MRA technique) to produce a time-frequency representation (TFR) of the image representing frequency content in multiple frequency bands, and displaying an indication of the frequency content of the image by displaying a sub-image of the TFR or numerical data representing the frequency content at selected pixels. In response to receiving input specifying a desired frequency content modification, the methods may include performing a Fourier transform of the image data to produce frequency content data, modifying the frequency content data, and performing an inverse transformation of the modified data to produce modified image data. The modification may be applied globally or to a selected portion of the image.

Abstract: There is provided a fingerprint detection sensor and a method of detecting a fingerprint. The fingerprint detection sensor according to embodiments of the present invention includes a plurality of piezoelectric sensors arranged on a two-dimensional plane; and a fingerprint detection unit detecting a fingerprint by using ultrasonic signals discharged from the plurality of respective piezoelectric sensors, wherein the fingerprint detection unit determines whether the fingerprint is a forged fingerprint by detecting bloodstreams within a first region on the two-dimensional plane in which the ultrasonic signals discharged from the plurality of respective piezoelectric sensors overlap one another.

Abstract: Systems, methods, and apparatus for sampling images using minimum mean square error subpixel-based down-sampling are presented herein. A partition component can be configured to divide a first array of pixels into two-dimensional (2-D) blocks of pixels. A sampling component can be configured to receive a query from a device including information associated with a display of the device; diagonally down-sample subpixels of a block of the 2-D blocks and generate a second array of pixels based on the down-sampled subpixels and the query. The sampling component can communicate at least a portion of the second array to the device based on the query. The information associated with the display can include a dimension associated with the display. Further, sampling component can be associated with a web browser; and the query can include an internet based query.

Abstract: The present invention relates to a method for hierarchically matching a building image. The method includes the steps of: matching a wall of a specific building in the building image inputted as a query with a wall(s) of a building(s) in at least one panoramic image by using a technology of matching a building's shape or repeated pattern; selecting a candidate panoramic image(s) which includes a building(s) recognized to have the same or similar wall to the specific building in the panoramic image(s) as a result of matching its wall with others; matching at least one local region, if containing a recognizable string or figure, in the specific building with local region(s) in the building(s) of the candidate panoramic image(s) by using a technology of recognizing a string or a figure; and determining top n panoramic image(s) as the result of matching the local region.

Abstract: An image synthesis apparatus includes: an image selection section adapted to select two or more three-dimensional images to be synthesized from among a plurality of three-dimensional images; an order determination section adapted to determine, based on parallax amounts of the selected three-dimensional images, a synthesis order representative of an order in which the selected three-dimensional images are to be synthesized; an image synthesis section adapted to synthesize the selected three-dimensional images in accordance with the synthesis order; and a control section adapted to control the image selection section, the order determination section and the image synthesis section in response to an operation of a user.

Abstract: In general, the present invention is directed to systems and methods for identifying behaviors of two or more animal using video. The invention includes a system with at least two video cameras coupled to a computer where the computer is configured to automatically perform animal segmentation and identification, animal body parts identification, and behavior identification.

Abstract: The present invention relates to a water level monitoring device and method, which has an advantage of efficient water level monitoring and high device reliability by setting a portion of an area including the water area and the shore area in the image data, monitoring an area in the horizontal direction other than the vertical direction through the image, decreasing complexity by significantly reducing the computational amount over an existing vertical direction water level measuring system, excluding noises such as floating matters, irregular reflection and so on through a water level model generating process for area distinction, and generating a water level model adaptive to environmental factors such as algal bloom, muddy water and so on.

Abstract: A three-dimensional (3D) location of a reflection point of a ray between a point in a scene (PS) and a center of projection (COP) of a camera of a catadioptric system is determined. The catadioptric system is non-central and includes the camera and a reflector, wherein a surface of the reflector is a quadric surface rotationally symmetric around an axis of symmetry. The 3D location of the reflection point is determined based on a law of reflection, an equation of the reflector, and an equation describing a reflection plane defined by the COP, the PS, and a point of intersection of a normal to the reflector at the reflection point with the axis of symmetry.

Abstract: A system and method for biometric identification of a target individual based on a query containing UV image data of the target individual. In one embodiment, the system includes a first database, a query module, a detection module, a sequence module and a match module. The first database includes a plurality of identities with each identity having at least one binary sequence representative of a skin area of that identity. The query module receives the query and validates the UV image data. The detection module detects at least one skin area in the UV image data. The sequence module forms at least one target binary sequence corresponding to the at least one skin area. The match module searches the first database based on the at least one target binary sequence to identify at least one identity thereby facilitating biometric identification of the target individual.

Abstract: A method for extracting a target from a series of images includes the steps of: (a) estimating an ambient temperature value of pixels in the series of images; (b) finding a band of pixel values having temperature values above the ambient temperature value, the band of pixel values forming a histogram; and (c) differentiating the histogram to estimate a threshold. Also included are steps (d) extracting the target having pixel values above the threshold; and (e) colorizing the target for display.

Abstract: A visual hull for a 3D object is generated by using a set of silhouettes extracted from a set of images. First, a set of convex polyhedra is generated as a coarse 3D model of the object. Then for each image, the convex polyhedra are refined by projecting them to the image and determining the intersections with the silhouette in the image. The visual hull of the object is represented as union of the convex polyhedra.

Abstract: In an image processing apparatus for carrying out a plurality of correction processes on an input image, a multi-dimensional histogram of the input image is calculated, and a feature amount of the input image for which a specific correction process has been carried out is analyzed based on the multi-dimensional histogram. Then, based on the result of the analysis, correction parameters to be used for another correction process are calculated.

Abstract: A system and method is provided wherein, in one aspect, a processor determines whether multiple street level images have captured a nearly-identical face. If so, the images are processed to determine whether the face appears to be part of an advertisement. Once it is determined that the face is displayed on an advertisement, the boundaries of the advertisement may be determined and the location of the advertisement is stored for future use, e.g., potentially replacing the advertisement in the image with a different advertisement.

Abstract: A method matches elements in two schemas for two associated databases using automatic schema matching (ASM), wherein there is one schema for each database, wherein the elements define objects in the databases, and wherein the matching is performed on pairs of the elements by a combined matcher including a set of matchers. A Bayesian network (BN) is constructed for the set of matchers, and for each pair of elements the following steps are performing: obtaining an individual similarity value for each pair of the elements and each matcher, determining a likelihood ratio for each individual similarity value, performing belief updating on the BN using the likelihood ratios to obtain a final similarity value and corresponding probability, and outputting the final similarity value and the probability to indicate whether the pair of the elements match, or not.

Abstract: An object contour detection method includes: allowing an image sensor to sense respectively a plurality of images of an object by moving a lens with a shallow depth of field at a plurality of positions repeatedly, meanwhile, record the plurality of positions of the lens and the plurality of images one-to-one corresponding to the plurality of positions; removing respectively unclear areas in the plurality of images to obtain a plurality of clear images, and obtaining a plurality of displacement quantities of depth of field depending on a displacement quantity between each two adjacent positions in the plurality of positions; and extending a depth of the front image to reach the corresponding displacement quantity of depth of field and then combine the front image with the rear image in sequence, allowing the plurality of clear images to combine into a stereoscopic image corresponding to the object contour.

Abstract: Some embodiments provide a method that provides a display area for displaying an image that includes several of edges. The method provides a border drawing tool that in response to cursor movement across the image displays a search window about the cursor. The search window specifies a region to be searched to identify edges for use in defining a border for the image. In some embodiments, the size of the search window varies based on the speed of the cursor. The search window is a square box in some embodiments and a circle in other embodiments. The search window is centered at the cursor in some embodiments. In some embodiments, the display area is also for displaying the defined border over the image.

Abstract: A system and method for adaptively defining a region of interest for motion analysis in digital video is disclosed. In one embodiment, a method of detecting a gesture is disclosed which comprises receiving a video sequence comprising a plurality of frames, determining a region of interest which excludes a portion of the frame, and detecting the gesture within the region of interest.

Abstract: An image processing apparatus and method for obtaining an image signal to be processed. A classification information obtaining section obtains classification information indicating the image signal as one of a plurality of image signal types. The plurality of image signal types include a first type comprising a plurality of frames extracted from a large still image, the frames being extracted by moving an extracting area in units of an integer pixel per frame over the large still image, extracting the frames corresponding to the extraction area, and outputting an image signal corresponding to the frames. An image signal processing section then performs processing on the image signal based on the classification information.