585 results about "Color map" patented technology

Systems and methods are provided for displaying data, such as 3D models, having spatial coordinates. In one aspect, a height map and color map are generated from the data. In another aspect, material classification is applied to surfaces within a 3D model. Based on the 3D model, the height map, the color map, and the material classification, haptic responses are generated on a haptic device. In another aspect, a 3D user interface (UI) data model comprising model definitions is derived from the 3D models. The 3D model is updated with video data. In another aspect, user controls are provided to navigate a point of view through the 3D model to determine which portions of the 3D model are displayed.

A color mapping method is used in transforming colors between color imaging systems. The method includes using forward transformation profiles that characterize the color imaging systems to generate respective sets of device-independent color values for the color imaging systems. Color conversions are calculated by reducing differences between the respective sets of device-independent color values. Based on these color conversions, a color map is constructed that describes a relationship between the color imaging systems.

Methods and apparatus are provided for generating route instructions on a turn-by-turn navigation system in a vehicle. Turn instructions can include a turn icon as well as visual and audio prompts. The turn-by-turn navigation system includes special routing features, such as “Where am I”, “Verification”, “Stop by”, pre-set destinations, and time-restricted road routing. The turn-by-turn navigation system can generally be produced more economically than a typical premium system having a full complement of costly features, such as a color map display. Moreover, the turn-by-turn navigation system can be configured with only those features deemed most useful to a broad-based market segment, in order to further reduce manufacturing costs.

Methods and apparatus are provided for generating turn instructions on a turn-by-turn navigation system. The turn instructions can include a turn icon as well as visual and audio prompts. A countdown bar is typically embedded within the turn icon to provide upcoming turn information in intuitive graphic form, in order to reduce driver distraction. The turn-by-turn navigation system can generally be produced more economically than a typical premium system having a full complement of costly features, such as a color map display. Moreover, the turn-by-turn navigation system can be configured with only those features deemed most useful to a broad-based market segment, in order to further reduce manufacturing costs.

A system is disclosed for blending two image that makes use of a color map which indicates colors in a foreground can be mixed with the background and how much of each source to mix. One embodiment of the invention restricts the use of the color map to only pixels in the foreground that correspond to a graphic (or effect) in the background. Another embodiment makes use of a gray scale matte which stores blending values for each pixel in the foreground.

A method, a map and an article of manufacture for the exploration of hydrocarbons. In one embodiment of the invention, the method comprises the steps of: accessing 3D seismic data; dividing the data into an array of relatively small three-dimensional cells; determining in each cell the semblance/similarity, the dip and dip azimuth of the seismic traces contained therein; and displaying dip, dip azimuth and the semblance/similarity of each cell in the form a two-dimensional map. In one embodiment, semblance/similarity is a function of time, the number of seismic traces within the cell, and the apparent dip and apparent dip azimuth of the traces within the cell; the semblance/similarity of a cell is determined by making a plurality of measurements of the semblance/similarity of the traces within the cell and selecting the largest of the measurements. In addition, the apparent dip and apparent dip azimuth, corresponding to the largest measurement of semblance/similarity in the cell, are deemed to be estimates of the true dip and true dip azimuth of the traces therein. A color map, characterized by hue, saturation and lightness, is used to depict semblance/similarity, true dip azimuth and true dip of each cell; true dip azimuth is mapped onto the hue scale, true dip is mapped onto the saturation scale, and the largest measurement of semblance/similarity is mapped onto the lightness scale of the color map.

The invention discloses a method for intelligently diagnosing a rotating machine fault feature based on a deep CNN model. The method comprises: (1) acquiring rotating machine fault vibration signal data, segmenting the data and performing de-trend item preprocessing; (2) performing short-time Fourier time-frequency transform analysis on the signal data to obtain the time-frequency representation of each vibration signal, and displaying the time-frequency representation with a pseudo-color map; (3) reducing the image resolution by an interpolation method and superimposing respective images to form a training sample and a test sample as inputs of the CNN; (4) constructing the deep CNN model including an input layer, two convolution layers, two pooling layers, a fully connected layer, and a softmax classification layer and an output layer; and (5) introducing the training sample into the model for training, obtaining a convolution feature, a pooling feature and a neural network structuralparameter, and diagnosing unknown fault signals according to the constructed deep CNN. The method has better accuracy and stability than an existing time-domain or frequency-domain method.

A color conversion module 42 carries out color conversion of original color image data Grgb from the RGB color system into the CMYK color system to obtain color-converted original color image data Gcmyk (step S104). A DCT module 44 applies DCT (discrete cosine transform) over the whole color-converted original color image data Gcmyk to generate DCT coefficients Dcmyk (step S106). An embedding module 46 embeds the watermark information s into the components C, M, Y, and K of the DCT coefficients Dcmyk (step S108). An IDCT module 48 applies IDCT (inverse discrete cosine transform) onto DCT coefficients D'cmyk with the watermark information s embedded therein to generate embedding-processed color image data G'cmyk (step S110). The color conversion module 42 carries out color conversion of the embedding-processed color image data G'cmyk from the CMYK color system into the RGB color system to obtain embedding-processed color image data G'rgb (step S112). This arrangement does not require any correction of the position or the shape of image blocks in the process of extracting the embedded watermark information.

The invention belongs to the field of computer vision. In order to provide a simple and practical super-resolution method, the technical scheme adopted by the invention is that a super-resolution reconstruction method for a depth map by adopting an autoregressive model comprises the following steps of: 1) taking the depth map and a color map which are provided by a Middlebury data set and has the same size as experimental data, performing down-sampling on a test depth map according to a super-resolution proportion, performing zero-fill up-sampling on the obtained input low-resolution depth map to the original resolution, and obtaining an initial depth scatter diagram; 2) constructing autoregressive model items of an energy function; 3) constructing basic data items and a final solving equation of the energy function; and 4) solving the equation b utilizing a linear function optimization method. The super-resolution reconstruction method is mainly used for image processing.

The invention relates to a method for recovering a real-time three-dimensional body posture based on multimodal fusion. The method can be used for recovering three-dimensional framework information of a human body by utilizing multiple technologies of depth map analysis, color identification, face detection and the like to obtain coordinates of main joint points of the human body in a real world. According to the method, on the basis of scene depth images and scene color images synchronously acquired at different moments, position information of the head of the human body can be acquired by a face detection method; position information of the four-limb end points with color marks of the human body are acquired by a color identification method; position information of the elbows and the knees of the human body is figured out by virtue of the position information of the four-limb end points and a mapping relation between the color maps and the depth maps; and an acquired framework is subjected to smooth processing by time domain information to reconstruct movement information of the human body in real time. Compared with the conventional technology for recovering the three-dimensional body posture by near-infrared equipment, the method provided by the invention can improve the recovery stability, and allows a human body movement capture process to be more convenient.

The invention discloses a method for generating a virtual-real fusion image for stereo display. The method comprises the following steps: (1) utilizing a monocular RGB-D camera to acquire a depth map and a color map in real scene; (2) rebuilding a three-dimensional scene surface model and calculating a camera parameter; (3) mapping, thereby acquiring the depth map and the color map in a virtual viewpoint position; (4) finishing the three-dimensional registration of a virtual object, rendering for acquiring the depth map and the color map of the virtual object, and performing virtual-real fusion, thereby acquiring a virtual-real fusion content for stereo display. According to the method provided by the invention, the monocular RGB-D camera is used for shooting, the three-dimensional scene surface model is rebuilt frame by frame and the model is simultaneously used for tracking the camera and mapping the virtual viewpoint, so that higher camera tracking precision and virtual object registration precision can be acquired, the cavities appearing in the virtual viewpoint drawing technology based on the image can be effectively handled, the shielding judgment and collision detection for the virtual-real scene can be realized and a stereo display device can be utilized to acquire a vivid stereo display effect.

The user determines his/her desired color state in accordance with the color maps prepared in accordance with the color system corresponding to the human visual sense. The LUT characteristic values Lmin, amin, bmin, astep, and bstep are adjusted into adjusted values L'min, a'min, b'min, a'step, and b'step based on the user's designated color adjustment amounts DELTAL, DELTAC, DELTARG, and DELTAYB. Then, based on the adjusted LUT characteristic values and the inputted Lab color data (Lx, ax, bx), discrimination number sets (Lgrid, agrid, bgrid) are determined for eight lattice points surrounding the inputted color data. With using CMY data sets (Ci, Mi, Yi) for the eight lattice points, an interpolation calculation is achieved to calculate a CMY control data set (Cx, Mx, Yx) for the inputted color data set (Lx, ax, bx).

Method for providing a color representation of three-dimensional range data (200) for improved visualization and interpretation. The method also includes selectively determining respective values of the hue (402), saturation (404), and intensity (406) in accordance with a color map (FIG. 5, 6) for mapping the hue, saturation, and intensity to an altitude coordinate of the three-dimensional range data. The color map is defined so that values for the saturation and the intensity have a first peak value at a first predetermined altitude approximately corresponding to an upper height limit (308) of a predetermined target height range (306). Values defined for the saturation and the intensity have a second peak at a second predetermined altitude (310) corresponding to an approximate anticipated height of tree tops within a natural scene.

A computer-assisted system and method for foreign language instruction. A motion picture having audio dialog in a target language is stored, in a computer-readable form, with chapter divisions, scene subdivisions and dialog sequence sub-subdivisions. In an Engage Mode, the motion picture is played on a display screen sequence-by-sequence, scene-by-scene, and chapter-by-chapter for a student listening to the audio dialog on a speaker. Interlinear target and source language subtitles are provided with interactive capabilities accessed through cursor movement or other means. The interlinear subtitles may be semantically color-mapped. After selecting a scene to view, the student is progressed through a series of modules that break-down and dissect each dialog sequence of the scene. The student studies each dialog sequence before moving to the next scene. Likewise, all scenes in a chapter are studied before moving to the next chapter and ultimately completing the motion picture.

The present invention provides a method and system for dynamic identification and location of a charging pile based on Kinect. The method comprises: the step 1: calculating a conversion matrix from acamera coordinate system to a setting world coordinate system according to three-dimensional point cloud data obtained by a Kinect sensor; the step 2: performing one-to-one alignment of pixels in a color map and a depth map; the step 3: removing invalid pixel points in an image obtained in the step 2, converting residual pixel points to three-dimensional spatial points and eliminating points higher than 50cm or lower than 3cm; the step 4: performing downsampling of point cloud obtained in the step 3 to reduce computing amount of follow-up processing, and performing radius filtering to remove outliers; the step 5: performing Euclidean cluster of the point cloud obtained in the step 4 to obtain one or more than one cluster objects; the step 6: processing the one or more than one cluster objects obtained in the step 5, and screening cluster objects having two feature planes; the step 7: processing a cluster body screened in the step 6, and calculating whether a geometrical relationship between two feature planes accords with a three-dimensional shape of a charging pile or not; and the step 8: performing calculation in geometry according to relative position of the two feature planes determined in the step 7, determining a position and an angle of deflection of the charging relative to an original point of the world coordinate system, and realizing location of the charging pile. The method and system for dynamic identification and location of charging pile based on the Kinect have the advantages of accurate recognition, strong robustness, stable dynamic tracking, less susceptible to light interference and the like, and the positioning of the target is small in calculation amount and accurate in calculation result, etc.

Systems, methods and computer program products for producing dental restorations that can include the use of a computer integrated manufacturing system. Using this system, physical properties of a tooth are collected, for the automated manufacturing of a dental restoration. The invention, in one embodiment, includes creating a color map comprising at least one color value, a computer program product for producing a dental restoration layer, as well as a method for producing a dental restoration using a computerized system.

A fast and fully automated approach for determining the number of atomic planes in layered material samples is provided. Examples of such materials may include graphene and bismuth telluride (Bi₂Te₃), and materials from the bismuth selenide (Bi₂Se₃) samples is provided. The disclosed procedure allows for in situ identification of the borders of the regions with the same number of atomic planes. The procedure is based on an image processing algorithm that employs micro-Raman calibration, light background subtraction, correction for lighting non-uniformity, and color and grayscale image processing on each pixel of a graphene image. The developed procedure may further provide a pseudo-color map that marks the single-layer and few-layer regions of the sample. Beneficially, embodiments of the developed procedure may be employed using various substrates and can be applied to materials that are mechanically exfoliated, chemically derived, or deposited on an industrial scale.

The embodiment of the invention discloses a 3D face model reconstruction method and device, which can improve the accuracy and the speed of reconstructing the three-dimensional human face model. The method comprises the following steps: S1, acquiring a face depth map and a face color map to be processed, inputting the face depth map and the face color map to be processed into a pre-trained rough learning network to obtain parameterized three-dimensional face model coefficients, and determining an initial three-dimensional face model according to the parameterized three-dimensional face model coefficients; S2, converting the initial three-dimensional face model and the brightness value on the face color map into a four-channel UV picture, inputting the UV picture into a pre-trained fine learning network, and obtaining the offset of each mesh point of the three-dimensional face model to be reconstructed in the respective normal direction; S3, reconstructing a three-dimensional face modelaccording to the parameterized three-dimensional face model coefficients and the offset of each mesh point in the respective normal direction.

The invention relates to a digital human body three-dimensional reconstruction method based on a Kinect device. The method specifically includes the following steps that firstly, scanning is performed, and surface feature data are obtained; secondly, denoising preprocessing is performed on the surface feature data, and smooth depth information without noise is obtained; thirdly, rigid-body matching and non-rigid-body matching are sequentially performed on the depth information, and a three-dimensional model is obtained. According to the digital human body three-dimensional reconstruction method, the scanning time is short, the scanning process is simple, a hardware device needed in scanning is simple, coordination with other people or instructions learning in advance are not needed in the scanning process, the result geometric accuracy is high, the face structure, the clothes texture structure and the like are quite clear, due to a test, the system stability is high, a one-button mode is adopted in a whole system, a user does not need to set any parameter or change, a final result can be obtained as long as one button is pressed, the operation time is short, and a color map is automatically generated.