600 results about "Multi resolution" patented technology

A method for classifying or comparing objects includes detecting points of interest within two objects, computing feature descriptors at said points of interest, forming a multi-resolution histogram over feature descriptors for each object and computing a weighted intersection of multi-resolution histogram for each object. An alternative embodiment includes a method for matching objects by defining a plurality of bins for multi-resolution histograms having various levels and a plurality of cluster groups, each group having a center, for each point of interest, calculating a bin index, a bin count and a maximal distance to the bin center and providing a path vector indicative of the bins chosen at each level. Still another embodiment includes a method for matching objects comprising creating a set of feature vectors for each object of interest, mapping each set of feature vectors to a single high-dimensional vector to create an embedding vector and encoding each embedding vector with a binary hash string.

Information presentation system comprises a computer device having a display terminal for providing a graphical user interface (GUI), capable of generating a cluster of items comprising graphical or textual elements for display thereof according to a fractal appearance. Each item in a cluster represents information having a degree of relatedness with information represented by other items in a cluster. A control mechanism is provided for controlling the spatial extent, nesting and arrangement of items within a cluster according to a specified criteria, which spatial extent and arrangement is controlled to provide optimal display and conserve screen display space on the display terminal. Users may manually enter a criteria for organizing and adjusting the spatial extent of a cluster in order to provide continuous display space on the computer display terminal. The invention may be implemented in text editors to provide a multiresolution annotation feature for portable and lap/palm-top computer devices having pen-based or keyboard based inputs.

A technique is provided for processing a physiological signal. The technique includes performing one or more multi-resolution decompositions on a physiological signal and one or more morphological operations on some or all of the respective decomposition components. In one embodiment, the technique is implemented as iteratively wavelet transformations where morphological operations, such as erosions and dilations, are applied to modify some or all of the respective wavelet coefficients. The modified wavelet coefficients may then be reconstructed to generate a clean version of the physiological signal from which some or all of the noise and/or artifacts have been removed.

A multi-resolution object location system and method for locating objects is provided. The multi-resolution system and method uses a long-range object locator together with a more precise RFID locator to efficiently and accurately determine the location of objects that include an RFID tag. The long-range object locator has a relatively longer range and can cover a relatively large area to determine the general location of the object within the large area. The RFID locator has a relatively shorter range, but is able to locate the object more precisely. The object location system uses the long-range locator to first determine the general location of the object, and then the RFID locator is used to determine a more accurate location of the object. Thus, the multi-resolution object location system is able to provide both a long range location of objects over a large area and a precise location of objects.

An apparatus and method for obtaining facies of geological formations for identifying mineral deposits is disclosed. Logging instruments are moved in a bore hole to produce log measurements at successive levels of the bore hole. The set of measurements at each such level of the bore hole interval is associated with reference sample points within a multidimensional space. The multidimensional scatter of sample points thus obtained is analyzed to determine a set of characteristic modes. The sample points associated with characteristic modes are grouped to identify clusters. A facies is designated for each of the clusters and a graphic representation of the succession of facies as a function of the depth is thus obtained. To identify the clusters, a "neighboring index" of each log measurement point in the data set is calculated. Next, small natural groups of points are formed based on the use of the neighboring index to determine a K-Nearest-Neighbor (KNN) attraction for each point. Independently of the natural group formation, an optimal number of clusters is calculated based on a Kernel Representative Index (KRI) and based on a user-specified resolution. Lastly, based on the data calculated from the prior steps, final clusters are formed by merging the smaller clusters.

A vision system is disclosed. The system includes a pixel array, at least one multi-resolution window operation circuit, and a pixel averaging circuit. The pixel array has an array of pixels configured to receive light signals from an image having at least one tracking target. The multi-resolution window operation circuits are configured to process the image. Each of the multi-resolution window operation circuits processes each tracking target within a particular multi-resolution window. The pixel averaging circuit is configured to sample and average pixels within the particular multi-resolution window.

A technique is provided for processing a physiological signal to compensate for artifacts. The technique includes identifying artifacts within the physiological signal. The technique also includes performing one or more multi-resolution decompositions, such as wavelet transformations, on the physiological signal and compensating for the identified artifacts in some or all of the respective decomposition components. The modified decomposition components may be reconstructed to generate an artifact-compensated signal which may be provided to a monitor or other device which is otherwise not configured to compensate for signal artifacts.

A method for compressing audio input signals to form a master bit stream that can be scaled to form a scaled bit stream having an arbitrarily prescribed data rate. A hierarchical filterbank decomposes the input signal into a multi-resolution time/frequency representation from which the encoder can efficiently extract both tonal and residual components. The components are ranked and then quantized with reference to the same masking function or different psychoacoustic criteria. The selected tonal components are suitably encoded using differential coding extended to multichannel audio. The time-sample and scale factor components that make up the residual components are encoded using joint channel coding (JCC) extended to multichannel audio. A decoder uses an inverse hierarchical filterbank to reconstruct the audio signals from the tonal and residual components in the scaled bit stream.

One embodiment of the present invention includes techniques for processing a multi-resolution hierarchy, where an application configures a ROP unit to render all the levels included in the multi-resolution hierarchy to a single composite render target. The ROP unit renders memory pages to the composite render target in pitch order. In contrast, the texture unit accesses the composite render target with memory pages in pitch order for each level of the hierarchy. The application configures the MMU to ensure that the composite render target is correctly interpreted by the texture unit. Notably, the MMU translates ROP unit virtual addresses and texture unit virtual addresses using different mapping strategies to the same physical address space. One advantage of the disclosed embodiments is that rendering to the multi-resolution hierarchy does not require the CPU to execute the state parameter changes that are associated with rendering the different hierarchical levels using prior-art techniques.

A method for classifying data includes selecting an elemental size and features for the data that are representative of possible subclasses. Resolution widths are selected in conjunction with these features. Models associated with symbols are developed from these resolution widths and features. Data is compared with these models to give a likelihood that the model applies. The best model is determined and a signal is provided related to the symbol associated with the best model.

A synthetic vision fused integrated enhanced vision system includes a data base of images of an objective; a non-HVS sensor array for providing a sensor output from each sensor in the array; a feature extraction mechanism for extracting multi-resolution features of an objective and forming a single, fused feature image of the objective; a registration mechanism for comparing the fused feature image to a database of expected features of the objective and for providing registered sensor output vectors; an association engine for processing the registered sensor output vectors with the database of objective images, including an associative match mechanism for comparing the registered sensor output vectors to a data base of objective images and providing comparison vectors therefrom for selecting an objective image for display; and a HVS display for displaying a HVS perceptible image from the data base objective images.

A multi-resolution texture mapping system suitable for large scale terrain rendering using commodity graphics processing units (GPU). The GPU vertex and fragment shaders are used to implement the clip-mapping functionality. The terrain texture is represented by a combination of a mip-map and a multi-level clip-map having independent origins and off-set values. The independent clip-map levels may be independently updated. The offset values allow the origins to be associated with a reference point in a scene to be rendered. The desired clip-map level to be used to render a particular fragment may be determined using the base 2 logarithm of the maximum screen-space derivative of the source texture required by the terrain geometry to be drawn. If the desired clip-map level is non-integer and lies between two clip-map levels, appropriate texel data is created by interpolating between the bounding clip-map levels. This interpolation allows a multi-resolution texture mapping to be displayed.

A multiresolutional filter called a critical point filter is introduced. This filter extracts a maximum, a minimum, and two types of saddle points of pixel intensity for every 2x2 (horizontal x vertical) pixels so that an image of a lower level of resolution is newly generated for every type of a critical point. Using this multiresolutional filter, a source image and a destination image are hierarchized, and source hierarchical images and destination hierarchical images are matched using image characteristics recognized through a filtering operation.

A method and apparatus for image processing is described. In one embodiment, the method comprises accessing header data from a multi-resolution codestream of compressed data of a first document image, deriving one or more retrieval attributes from the header information, and performing image analysis between the first document image and a second document image based on the one or more retrieval attributes.

A device and a method for using a multi-focusing camera to realize collection of multi-resolution images are disclosed, comprising five focusing cameras having restraining relationship with others, wherein four of them are located at the same horizontal plane and on four top points of the same square, and the four cameras have the identical focus which is set as f; the rest 1 camera is located in the direction of the four cameras, axes line of the camera is perpendicular to the surfaces of four cameras and passes a central point O of the square, and the distance from the fifth camera to the rest four cameras is d, the focus of the camera is set as f, and initial setting is performed to the parameters and locations of the five focusing cameras with the location relationship satisfying the following restraint: f=f+d. The invention achieves the function of lossless zooming film of the multi-focusing camera with adjustable details of scenes and images, and with flexible and controllable structure, the invention can rapidly collect the multi-resolution images in the large visual scene.

When the studied motion is periodic, such as for a beating heart, it is possible to acquire successive sets of two dimensional plus time data slice-sequences at increasing depths over at least one time period which are later rearranged to recover a three dimensional time sequence. Since gating signals are either unavailable or cumbersome to acquire in microscopic organisms, the invention is a method for reconstructing volumes based solely on the information contained in the image sequences. The central part of the algorithm is a least-squares minimization of an objective criterion that depends on the similarity between the data from neighboring depths. Owing to a wavelet-based multiresolution approach, the method is robust to common confocal microscopy artifacts. The method is validated on both simulated data and in-vivo measurements

A system and method for identifying critical features in an ordered scale space within a multi-dimensional feature space is described. Features are extracted from a plurality of data collections. Each data collection is characterized by a collection of features semantically-related by a grammar. Each feature is normalized and frequencies of occurrence and co-occurrences for the feature for each of the data collections is determined. The occurrence frequencies and the co-occurrence frequencies for each of the features are mapped into a set of patterns of occurrence frequencies and a set of patterns of co-occurrence frequencies. The pattern for each data collection is selected and distance (similarity) measures between each occurrence frequency in the selected pattern is calculated. The occurrence frequencies are projected onto a one-dimensional document signal in order of relative decreasing similarity using the similarity measures. Wavelet and scaling coefficients are derived from the one-dimensional document signal using multiresolution analysis.

A 2D image supplied from an image input unit including a wide view lens is sampled into a discrete form by an array sensor, and then mapped to a multi-resolution space by a 2D filter. The feature of the supplied image is detected, and then the mapped image is transformed to a local pattern about the detected feature, and then the coordinates of the position of the feature and the code word of the local pattern are formed into a set which is then encoded. The code is supplied to each cell of a stochastic automaton. The quantity of visual information is calculated in accordance with the quantity of mutual information between different cells of the stochastic automaton consisting of cells in blocks, the coordinates of the position of the feature and the distance from the feature to the optical axis so as to control the optical axis of the image input unit in such a manner that the quantity of visual information is maximized.

The illustrative embodiments described herein are directed to a system, methods, and computer program product, for network acceleration and efficient indexing for caching file systems. For example, the disclosed embodiments achieve (1) high compression rate, (2) low disk seeks, and (3) low memory pressure using by introducing novel features such as, but not limited to, multi-resolution chunking and intelligent load shedding. In addition, the disclosed embodiments introduces a family of HashCache policies that enable large size web caching with little or no use of main memory.

The invention discloses a target detection method and system based on multi-scale feature fusion in an image. The method comprises the steps that firstly, zooming of different scales is carried out byutilizing the to-be-detected picture, and an image pyramid is constructed; secondly, a set of multi-scale detection templates covering most of the sample dimensions is obtained by utilizing a statistical clustering method; thirdly, based on the multi-scale detection template, scale self-adaptive target context construction is performed; fourthly, multi-scale depth features are fused; fifthly, thenon-maximum value restrain based on soft judgment is carried out. The invention is advantageous in that the image multi-resolution sparse pyramid, the multi-scale detection template and the templatescale self-adaptive context, multi-scale depth feature fusion and the like are constructed, full mining and fusion utilization of the depth features are achieved, and the target detection performancecan be improved.

A configurable, compact multi-resolution linear image sensor array is disclosed. The multi-resolution image sensor array employs a spatial array of photoelectric sites with each site having an image output terminal and a cluster of switched photo-detector elements. To effect a high quality snapshot operation mode for a high pixel count array, a transfer control switch is added bridging each photo-detector element and its correspondingly connected negative input terminal of an operational amplifier to form an active pixel sensor circuit. To minimize a reset kTC noise associated with numerous traditional active pixel sensor circuits, an in-pixel KTC noise-correlated correlated multiple sampling (CMS) circuitry is also proposed to replace an otherwise traditional correlated double sampling (CDS) circuitry.

Apparatus and methods for digital video data compression via a scalable, multi-resolution approach. In one embodiment, the video content may be encoded using a multi-resolution and/or multi-quality scalable coding approach that reduces computational and/or energy load on a client device. In one implementation, a low fidelity image is obtained based on a first full resolution image. The low fidelity image may be encoded to obtain a low fidelity bitstream. A second full resolution image may be obtained based on the low fidelity bitstream. A portion of a difference image obtained based on the second full resolution image and the first full resolution may be encoded to obtain a high fidelity bitstream. The low fidelity bitstream and the high fidelity bitstream may be provided to e.g., a receiving device.

The present invention provides a method and system for progressive multi-resolution three-dimensional image reconstruction using region of interest information. The method and system significantly reduces the amount of time required to display high quality three-dimensional fluoroscopic images by utilizing progressive multi-resolution image reconstruction techniques. In addition, by employing manual or automated selection of one or more regions of interest in which to focus the progressive image reconstruction, high quality 3D images of region(s) of interest may be obtained soon after image data acquisition.

A method and visualization apparatus for spectral analysis of time-and-space varying signals enables high resolution investigation of 3D seismic data for the exploration of oil and gas. The method extrapolates multi-resolution short windows into an average long window then computes its FFT. Extrapolation uses the continuity relationship between data inside and outside of short windows. Applications of the method are illustrated with graphical screen 3D volume displays of amplitude spectra, dip and azimuth, curvature and faults (figure below). Aside from high resolution these displays improve the productivity of a seismic interpreter.

The invention discloses a voice enhancing method based on a multiresolution auditory cepstrum system and a deep convolutional neural network. The voice enhancing method comprises the following steps:firstly, establishing new characteristic parameters, namely multiresolution auditory cepstrum coefficient (MR-GFCC), capable of distinguishing voice from noise; secondly, establishing a self-adaptivemasking threshold on based on ideal soft masking (IRM) and ideal binary masking (IBM) according to noise variations; further training an established seven-layer neural network by using new extracted characteristic parameters and first/second derivatives thereof and the self-adaptive masking threshold as input and output of the deep convolutional neural network (DCNN); and finally enhancing noise-containing voice by using the self-adaptive masking threshold estimated by the DCNN. By adopting the method, the working mechanism of human ears is sufficiently utilized, voice characteristic parameters simulating a human ear auditory physiological model are disposed, and not only is a relatively great deal of voice information maintained, but also the extraction process is simple and feasible.

Examples of systems and methods for delivering overhead video to a computing device are provided. Delivering the overhead video can include generating multiple versions of the overhead video having respective resolutions, bitrates, or frame rates. The system can then generate georeferenced video data for each version by incorporating georeferencing coordinates and time synchronization information. The georeferenced video data can be stored in transcoded video files. In response to a request from a computing device for video data of a geographical region, the system can transmit a primary video stream comprising georeferenced video data of a relatively high quality and a secondary video stream comprising georeferenced video data of a relatively low quality, wherein the primary video stream includes the geographical region and the secondary video stream includes a proximal geographical region.

A novel multi-resolution block sampling based texture analysis/synthesis algorithm. A reference texture is assumed to be sample from a probability function. The synthesis of a similar, but distinctive, synthetic texture is handled in a process and by an apparatus that first estimates and then resamples the probability function. In order to achieve good and fast estimation of the probability function for a reference texture and in order to retain the texel structural information during the synthesis, a novel concept of block sampling and a corresponding novel texture synthesis scheme based on multi-resolution block sampling is employed. As a result of this novel approach, the computational complexity of the present invention is much lower than that of other approaches to the problem. In addition, for textures that exhibit a high degree of directionality, a process, which integrates estimation of dominant texture direction and the synthesis algorithm is employed to handle directional textures. The dominant direction is used to orient and then control the synthesis process so as to preserve the dominant reference image direction.

The invention belongs to the technical field of computer applying and the subfield of the machine learning theories and application and focuses on the traffic sign recognizing problem in the intelligent traffic technology. A traffic sign recognizing method based on multi-resolution convolution neural networks is characterized by solving the problem that the speed is low when the convolution neural network is used for recognizing traffic signs, two-dimensional images with different resolutions are used as input, the two convolution neural networks with the same structure are operated in parallel to carry out feature mapping and extracting, and accurate classifying and recognizing are carried out based on a weight threshold value trained by the networks. The two CNNs with different resolution branches are used for replacing a basic CNN structure, the overall and outline features can be mapped through the high-resolution image input, the local and detailed features can be mapped through the low-resolution images, the recognizing resolution is guaranteed, and the model training speed is increased.

The invention relates to a submerged line tracking method for flood evolution simulation in a complicated river channel landform area. The submerged line tracking method comprises four process of generating a digital river channel multi-resolution grid segmentation model; modeling and computing a simulation forecast model for a drainage area flood evolution state, wherein the process is operated in parallel with the process of generating the digital river channel multi-resolution grid segmentation model; accurately searching the submerging boundary of the complicated river channel landform; and dynamically identifying a drainage area flood evolution submerged area. The submerged line tracking method performs accurate searching on the submerging boundary of the complicated river channel landform through establishing the digital river channel multi-resolution grid segmentation model and the simulation forecast model, thereby realizing dynamic identification on the drainage area flood evolution submerged area, accurately simulating complicated river channels at various landforms, and quickly simulating a flood submerged area. Quick, accurate and visual forecast on time, water depths and flow and even flow velocity in flood evolution to different river segments are realized. A scientific basis is laid for disaster prevention and mitigation operation before flooding.

A method and apparatus for biometric iris matching comprising pre-processing an input image capturing one or more eyes to produce one or more rectified iris images, coding the one or more rectified iris images into one or more multiresolution iris codes and matching the one or more multiresolution iris code with a set of stored multiresolution iris codes to determine whether a match exists.