3899 results about "Layers" patented technology

The present invention generally relates to intravascular ultrasound (IVUS) image segmentation methods, and is more specifically concerned with an intravascular ultrasound image segmentation method for characterizing blood vessel vascular layers. The proposed image segmentation method for estimating boundaries of layers in a multi-layered vessel provides image data which represent a plurality of image elements of the multi-layered vessel. The method also determines a plurality of initial interfaces corresponding to regions of the image data to segment and further concurrently propagates the initial interfaces corresponding to the regions to segment. The method thereby allows to estimate the boundaries of the layers of the multi-layered vessel by propagating the initial interfaces using a fast marching model based on a probability function which describes at least one characteristic of the image elements.

A method for the evaluation of target media parameters in the visible and near infrared is disclosed. The apparatus comprises a light source, an illuminator/collector, optional illumination wavelength selector, an optional light gating processor, an imager, detected wavelength selector, controller, analyzer and a display unit. The apparatus illuminates an in situ sample of the target media in the visible through near infrared spectral region using multiple wavelengths and gated light. The sample absorbs some of the light while a large portion of the light is diffusely scattered within the sample. Scattering disperses the light in all directions. A fraction of the deeply penetrating scattered light exits the sample and may be detected in an imaging fashion using wavelength selection and an optical imaging system. The method extends the dynamic range of the optical imager by extracting additional information from the detected light that is used to provide reconstructed contrast of smaller concentrations of chromophores. The light detected from tissue contains unique spectral information related to various components of the tissue. Using a reiterative calibration method, the acquired spectra and images are analyzed and displayed in near real time in such a manner as to characterize functional and structural information of the target tissue.

Techniques are described for modeling layered facial reflectance consisting of specular reflectance, single scattering, and shallow and deep subsurface scattering. Parameters of appropriate reflectance models can be estimated for each of these layers, e.g., from just 20 photographs recorded in a few seconds from a single view-point. Spatially-varying specular reflectance and single-scattering parameters can be extracted from polarization-difference images under spherical and point source illumination. Direct-indirect separation can be employed to decompose the remaining multiple scattering observed under cross-polarization into shallow and deep scattering components to model the light transport through multiple layers of skin. Appropriate diffusion models can be matched to the extracted shallow and deep scattering components for different regions on the face. The techniques were validated by comparing renderings of subjects to reference photographs recorded from novel viewpoints and under novel illumination conditions. Related geometry acquisition systems and software products are also described.

One aspect of the invention is a bistable cholesteric writing tablet on which an image is formed by applying a suitable voltage while applying writing pressure, which results in a focal conic texture in a reduced gap region of the active layer while not changing the texture of the unreduced gap region of the active layer (e.g., a written portion being in a focal conic texture on a background in the planar texture). Another aspect of the invention is a multi-color stacked writing tablet in which a color of an image is selected by applying a suitable voltage while applying writing pressure using an instrument such as an untethered stylus on the surface of the tablet. The writing tablet includes at least two or three stacked layers of bistable cholesteric liquid crystal material. Selected colors can be additively mixed to achieve intermediate colors as desired. The image can be erased and new images written on the tablet. Gray scale achieved by varying the applied voltage during writing or the writing pressure in some cases, enables the writing tablet to produce a broad range of colors. The writing device is suitable for many applications such as a toy, sketch pad, erasable signage, tags or a large writing board without the mess of chalk or ink.

A video graphics module capable of blending multiple image layers includes a plurality of video graphic pipelines, each of which is operable to process a corresponding image layer. One of the video graphic pipelines processes a foremost image layer. For example, the foremost image layer may be a hardware cursor. The video graphics module also includes a blending module that is operably coupled to the plurality of video graphic pipelines. The blending module blends, in accordance with a blending convention (e.g., AND/Exclusive OR blending and/or alpha blending), the corresponding image layers of each pipeline in a predetermined blending order to produce an output image. The blending module blends the foremost image layer such that it appears in a foremost position with respect to the other image layers.

An electrographic sensor unit and method for determining the position of a user selected position thereon. The electrographic sensor unit includes a layer of a conductive material having an electrical resistivity and a surface, at least three spaced apart contact points electrically interconnected with a layer of conductive material, a processor connected to the spaced apart contacts and disposed to selectively apply a signal to each of the contact points, and a probe assembly, that includes either a stylus of a flexible conductive layer spaced apart from the layer, coupled to the processor with the stylus disposed to be positioned by a user in vicinity of a user selected position on the surface of the layer, or that position being selected with a user's finger on the flexible layer and to receive signals from the layer when the contact points have signals selectively applied thereto. The user selected position is determined by the processor from signals received from the stylus, or flexible layer, each in relation to a similar excitation of different pairs of the contact points under control of the processor. The conductive layer may be either two or three dimensional and may be a closed three dimensional shape. There may also be multiple layers with the processor being able to discern on which of those layers the user selected position is located. Further, provision is made to correct the calculated coordinates of the selected position for variations in contact resistance of each of the contact points individually. Additionally, a nonconductive skin having selected graphics printed thereon, such as a map, can be placed over the layer and the proces-sor further convert the calculated coordinates of the selected position to coordinates that relate to the graphical information printed in the skin, and even electro-nically (e.g., audio or visual) present information to the user relative to the graphical location selected as the selected position.

The present invention features a multi-layer ink-jet recording medium, suitable for recording images with dye and pigmented inks and thereby providing light-emitting, reflective, glossy, metallic-looking or holographic images, comprising a substrate coated with at least two layers comprising: (a) a first transparent ink-receptive layer comprising a polymeric binder and a cross-linker and optionally having a plasticizer and pigment particles such as alumina and silica coated over the substrate, wherein the cross-linker comprises and azetidinium polymer or a salt thereof, and/or a polyfunctinal aziridine or a salt thereof or a polyfunctional oxazoline or a salt thereof; and (b) a second ink-receptive layer comprising an opaque or semi-opaque coating composition, wherein the opaque or semi-opaque coating composition is capable of accepting a printed image and thereby becoming semi transparent or clearly transparent from application of ink-jet printing ink or similar inks, while presenting a light-emitting, reflective, glossy, metallic-looking or holographic image of high clarity and quality, wherein said first layer is located between said second layer and the substrate in said recording medium and the first and second layers are chemically coupled.

The invention discloses an improved high-resolution remote sensing image classification method based on deep learning. On the basis of the deep learning theory, a seven-layer convolutional neural network is designed; a high-resolution remote sensing image sample is inputted into the network to carry out network training and last two full connection layers obtained by learning are outputted as twodifferent high-level features of the remote sensing image; dimension reduction is carried out by using a principal component analysis for the output of the fifth pooling layer of the network, whereinthe result after dimension reduction is used as a third high-level feature of the remote sensing image; the three kinds of high-level features are fused in series; and then an effective logistic-regression-based classifier is designed to classify the remote sensing image. According to the invention, feature extraction is carried out on the high-resolution remote sensing image based on the deep learning theory and the features obtained by learning have high expressive force and robustness. Besides, the extracted high-level features are fused and the fused feature is inputted into the logistic regression classifier, so that the good classification result is obtained.

A method and device for viewing, archiving and transmitting a garment model over a computer network. The method comprises photographing a physical mannequin from several different directions, the mannequin being a copy of a virtual human model which is representative of the target consumer. The virtual mannequin viewing layers and the garment model are generated from digital images of the naked or clothed mannequin which is suspended from the photography stand. A laser beam is used to determine the exact position of the mannequin. Subsequently, crop marks and recorded reference lines can be used to merge the viewing layers and the model precisely. The data are archived in a base and transmitted over an intranet, an extranet or the Internet for the purpose of remote viewing. The method and device are particularly suitable for the design, manufacture and inspection of clothing samples in the clothing industry.

The invention relates to an optical filtering structure consisting of a set of at least two elementary optical filters (R, V, B), an elementary optical filter being centered on an optimum transmission frequency, characterized in that it comprises a stack of n metal layers (m1, m2, m3) and n substantially transparent layers (d1, d2, d3) which alternate between a first metal layer (m1) and an n^th substantially transparent layer (d3), the n metal layers (m1, m2, m3) each having a constant thickness and at least one substantially transparent layer having a variable thickness which sets the optimum transmission frequency of an elementary optical filter, n being an integer larger than or equal to 2.

A method includes determining object class probabilities of pixels in a first input image by examining the first input image in a forward propagation direction through layers of artificial neurons of an artificial neural network. The object class probabilities indicate likelihoods that the pixels represent different types of objects in the first input image. The method also includes selecting, for each of two or more of the pixels, an object class represented by the pixel by comparing the object class probabilities of the pixels with each other, determining an error associated with the object class that is selected for each pixel of the two or more pixels, determining one or more image perturbations by back-propagating the errors associated with the object classes selected for the pixels of the first input image through the layers of the neural network without modifying the neural network, and modifying a second input image by applying the one or more image perturbations to one or more of the first input image or the second input image prior to providing the second input image to the neural network for examination by the neurons in the neural network for automated object recognition in the second input image.

System and method of displaying images in spatial/temporal superresolution by multiplicative superposition of cascaded display layers integrated in a display device. Using an original image with a target spatial/temporal resolution as a priori, a factorization process is performed to derive respective image data for presentation on each display layer. The cascaded display layers may be progressive and laterally shifted with each other, resulting in an effective spatial resolution exceeding the native display resolutions of the display layers. Factorized images may be refreshed on respective display layers in synchronization or out of synchronization.