648 results about "Geometric transformation" patented technology

The present invention relates to a method for manufacturing a tooth prosthesis, for insertion in a jawbone, including an implant and an abutment on top of the implant. The method includes: defining a shape of the prosthesis and its location in the jawbone by using first data from a first CT scan image of the jawbone and second data from a second image of a gypsum cast, correlating first and second data by extracting from the first data first position reference data of a first reference in the first image, and from the second data second position reference data of a second reference in the second image, the second reference being identical to the first reference; performing a geometric transformation on the second data and/or the first data to have a coincidence of the second image with the first image and to combine the first and second data into composite scan data.

A first and a second image are expressed in a common coordinate system by applying a geometric transformation to the second image so as to map a structure in the second image onto a corresponding structure in the first image in a common coordinate system. Starting from initial values, the parameters of the geometric transformation are updated taking into account the result of an evaluation of a cost function. Measurements are performed in the common coordinate system.

Position sensing systems and methods for enhancing user interaction with an edge of a display. Position sensing components generate signals for determining touch point locations. A distance between the touch point and a nearest edge of the display is calculated. If the distance is not less than a threshold value, a cursor is displayed on the display at a default cursor position closely tracking the touch point. If the distance is less than the threshold value a cursor offset position is calculated and the cursor is displayed at the cursor offset position. The cursor offset position is offset in at least one dimension relative to the default cursor position and may be calculated by applying a geometric transformation to coordinates of the default cursor position. Optionally, the cursor offset position may result in the cursor being “forced” over an item displayed at the edge of the display.

A method and apparatus for detecting and correcting perspective distortion for document imaging is described. The document template of the present invention contains special markers that define the corners of the document. One of these markers, different from the others, uniquely identifies a particular corner. When an image of a document is captured and it is found to contain perspective distortion, the smallest rectangle that encloses the special markers in the captured image is calculated and geometric transforms are used to map the special markers in the captured image to the corners of the smallest rectangle. To correct for orientation errors during image capture, the captured image is rotated based on the location of the unique marker. The present invention can also provide feedback to the operator as the image is being captured. This feedback guides the operator to properly align the image reader for substantially perspective distortion-free imaging.

A method of image processing in three-dimensional (3-D) head motion tracking is disclosed. The method includes: providing a user's source image to a first processing device; capturing the user's first image and providing it to a second processing device; selecting three facial feature points of the first image from the second processing device to form a 3-D feature triangle; capturing user's consecutive video frames and providing them to the second processing device when the user proceeds with head motions; tracking the three facial feature points corresponding to the consecutive video frames to form a series of actual 2-D feature triangle; rotating and translating the 3-D feature triangle freely to form a plurality of geometric transformations, selecting one of the geometric transformations with acceptable error between the two consecutive 2-D feature triangles, repeating the step until the last frame of the consecutive video frames and geometric transformations corresponding to various consecutive video frames are formed; and providing the geometric transformations to the first processing device to generate a head motion corresponding to the user's source image.

The present invention relies on a band moiré image layout model capable of predicting the band moiré image layer layout produced when superposing a base band grating layer of a given layout and revealing line grating layer of a given layout. Both the base band grating layer and the revealing line grating layer may have a rectilinear or a curvilinear layout. The resulting band moiré image layout may also be rectilinear or curvilinear. Thanks to the band moiré image layout model, one can choose the layout of two layers selected from the set of base band grating layer, revealing line grating layer and band moiré image layer and obtain the layout of the third layer by computation, i.e. automatically. Base band grating layers and revealing line grating layers may be produced which yield, upon displacement of the revealing layer on top of the base layer or vice-versa, a band moiré image whose patterns move either along a predetermined direction or in the case of a concentric band moiré image, either inwards or outwards in respect to the center of the concentric moiré bands. In addition, it is possible to conceive a revealing line grating layer which when translated on top of the base band grating layer, generates a band moiré image which is subject to a periodic deformation. Furthermore, thanks also to the availability of a large number of geometric transformations and transformation variants (i.e. different values for the transformation constants), one may create documents having their own individualized document protection. A computing system may automatically generate upon request an individualized protected security document having specific base band grating and revealing line grating layouts. The computing system may then upon request generate and issue a security document incorporating the base band grating layer, a base band grating layer or a revealing line grating layer allowing to authenticate a previously issued security document. The presented methods may be used for creating an individualized protection for various categories of documents (banknotes, identity documents, checks, diploma, travel documents, tickets) and valuable products (optical disks, CDs, DVDs, CD-ROMs, packages for medical drugs, products with affixed labels, watches).

A structure in a first image is mapped onto its corresponding structure in a second image by applying a geometric transformation to the first image so that both images are expressed in a common coordinate system. Starting from initial values the parameters of the geometric transformation are updated taking into account the result of an evaluation of a cost function. Finally the superimposed images may be blended.

The invention discloses a visual sense simultaneous localization and mapping method based on dot and line integrated features. The method comprehensively utilizes the line features and the dot features extracted and obtained from a binocular camera image and is able to be used for the positioning and the attitude estimation of a robot in both an external environment and an internal environment. As the dot features and the line features are integrated for use, the system becomes more robust and more accurate. For the parameterization of linear features, the Pluck coordinates are used for straight line calculations, including geometric transformations, 3D reconstructions, and etc. In the back-end optimization, the orthogonal representation of the straight line is used to minimize the number of the parameters of the straight line. The off-line established visual dictionary for the dot and line integrated features is used for closed loop detections; and through the method of adding zone bits, the dot characteristics and the line characteristics are treated differently in the visual dictionary and when an image database is created and image similarity is calculated. The invention can be applied to the construction of a scene image both indoors and outdoors. The constructed map integrates the feature dots and the feature lines, therefore, able to provide even richer information.

The present invention provides an image processing apparatus that efficiently identifies input characters and the like by an intensity image analysis based on range information. The image processing apparatus performs distance measurement by performing three-dimensional measurement by pattern projection to characters written to a manuscript, whiteboard, and the like, gets an intensity image used as a so-called actual image and an image for distance measurement in parallel, and identifies input characters by an intensity image analysis based on range information. The image processing apparatus picks up characters, patterns, and the like written onto paper or the like with a pen, performs geometric transformation for picked-up images, and performs natural input character analysis and reading processing. Furthermore, by comparing images picked up in a time-series, noise elimination and manuscript position modifications become possible.

Two camera assemblies in a multiple camera system output first and second images. In an image synthesizing method of stitching, an overlap area where the images are overlapped on one another is determined. Feature points are extracted from the overlap area in the first image. Relevant feature points are retrieved from the overlap area in the second image in correspondence with the feature points of the first image. Numbers of the feature points and the relevant feature points are reduced according to distribution or the number of the feature points. A geometric transformation parameter is determined according to coordinates of the feature points and the relevant feature points for mapping the relevant feature points with the feature points, to transform the second image according to the geometric transformation parameter. The second image after transformation is combined with the first image to locate the relevant feature points at the feature points.

The invention discloses a visual detection method of shockproof hammer defect detection. The visual detection method comprises the steps that denoising and anti-shaking preprocessing is performed on an aerial photographing image so as to obtain an original image to be detected; the existing original image is expanded by using the method of geometric transformation, scale change and contrast transformation so as to generate more data similar to the original image; samples are acquired, a shockproof hammer in the aerial photographing image is acquired and the size of the shockproof hammer is mainly acquired; a network model to be trained is determined, and the sample data are inputted to perform forward propagation and reverse propagation to adjust the weight so as to obtain the optimized detection network model parameters; the image to be detected is identified by using the trained model and the position of the hammer of the shockproof hammer is determined; and the lead in which the hammer is located is determined, and shockproof hammer defect discrimination is performed according to the relative position of the lead and the shockproof hammer and the constraints of respective directions.

The invention relates to an image mosaic method based on neighborhood Zernike pseudo-matrix of characteristic points, which leads image statistical information (Zernike pseudo-matrix) to be interrelated with the characteristic points of an image by using the following steps: firstly, extracting interest points of an inference image and an input image by utilizing a Harris angle detector, and taking rectangular neighborhoods using the interest points as a center as a local characteristic region with characteristic matching; secondly, calculating the Zernike pseudo-matrix to the rectangular characteristic regions to be used as descriptors of the characteristic region, and realizing the matching of the characteristic points through comparing the Euclidean distance of the characteristic vector of the descriptor of each characteristic region. The matching can have less wrong matching points which are eliminated through a RANSAC (RANdom Sample Consensus) algorithm, and the right matching relation can be calculated to realize the image mosaic. The invention can effectively realize the image registration and mosaic with geometric transformation relations of translation, rotation, small scale zooming, and the like, and can be used for image treatment and image synthesis of fields such as communication, multimedia technology, and the like.

The present invention relates to a system and method to facilitate efficient and automated presentation of information to users. A decomposition component automatically decomposes an information item into sets of subcomponents in a two- or three-dimensional isometric space, and generates visualizations having interactive graphics that allow users to inspect respective subcomponents. Interface features are provided to enable hover, dwell, and clicking commands, for example, providing a variety of options to zoom in, or change configurations of the visualization in accordance with the users intentions or inferences about what they desire to see or inspect more closely. Beyond the use of decompositions into exploded views of the content of items typically viewed as singular documents, the methods can be applied to perform geometric transformations on visualizations of multiple windows and other resources based on content and activity to provide regularized visualizations of the multiple items. Such exploded views can provide visual geometric summaries of projects, and a set of handles into accessing more detail on the subcomponents of the project.

The present invention discloses a deep learning-based insulator identification method. The insulator identification method comprises the steps of pre-processing an aerial image, and secondly, extending the data via the methods, such as the geometric transformation, the contrast enhancement, an analog noise adding method, etc.; acquiring the insulator samples, aiming at the insulators of different types, classifying to acquire; determining a to-be-trained model structure; inputting the samples in the to-be-trained model, and continuously adjusting the weights and the bias parameters by the forward propagation and backward propagation methods, and finally determining an optimal model parameter, based on the trained model, taking a to-be-detected image as an input signal, and by the network multi-layer convolution, pooling and full-connection operations, obtaining a final detection identification result. According to the present invention, by a deep learning method, the insulator characteristics are learned continuously, a learning network model is determined, the different insulators are identified under different background environments, and support is provided for the electric power maintenance decisions.

An enhanced technique for determination of an alignment accuracy involves an overlay target assembly which comprises at least two targets, each target having a first sub-structure of a first layer and a second sub-structure of a second layer, wherein, when the first layer and the second layer are correctly aligned, the first sub-structure and the second sub-structure of at least one of the targets are offset with respect to each other by a programmed offset and the overlay target assembly is invariant to at least one geometric transformation. If the offset vectors which describe the offset between the first sub-structure and the second sub-structure all have the same norm, the overlay error may be determined without calibration. Redundancy may be increased by providing each target with two or more programmed offsets between elements of the first sub-structure and elements of the second sub-structure.

The disclosed method and system may be used for creating advanced protection means for various categories of documents (e.g. bank notes, identity documents, certificates, checks, diploma, travel documents, tickets) and valuable products (e.g optical disks, CDs, DVDs, CD-ROMs, prescription drugs, products with affixed labels, watches) hereinafter called “secure items”. Secure items are authenticated by shape level lines. The shape level lines become apparent when superposing a base layer comprising sets of lines and a revealing layer comprising a line grating. One of the two layers is a modified layer which embeds a shape elevation profile generated from an initial, preferably bilevel, motif shape image (e.g. typographic characters, words of text, symbols, logo, ornament). In the case of an authentic document, the outline of the revealed shape level lines are visual offset lines of the boundaries of the initial bilevel motif shape image. In addition, the intensities, respectively colors of the revealed shape level lines are the same as the intensities, respectively colors of the lines forming the base layer sets of lines. By modifying the relative superposition phase of the revealing layer on top of the base layer or vice-versa (e.g. by a translation or a rotation), one may observe shape level lines moving dynamically between the initial bilevel motif shape boundaries and shape foreground centers, respectively background centers, thereby growing and shrinking. In the case that these characteristic features are present, the secure item is accepted as authentic. Otherwise the item is rejected as suspect. Pairs of base and revealing layers may be individualized by applying to both the base and the revealing layer a geometric transformation. Thanks to the availability of a large number of geometric transformations and transformation parameters, one may create documents having their own individualized document protection. The invention also proposes a computing and delivery system operable for delivering base and revealing layers according to security document or valuable product information content. The system may automatically generate upon request an individually protected secure item and its corresponding authentication means.

The invention provides a fully-automatic face seamless synthesis-based video synthesis method. With the fully-automatic face seamless synthesis-based video synthesis method adopted, insufficient real-time property in high-definition video processing of a face detection algorithm in the prior art can be solved. The fully-automatic face seamless synthesis-based video synthesis method of the invention comprises the following steps that: a video communication application provided by an intelligent television terminal is utilized to perform video connection; an image or video file which is locally arranged or arranged in a cloud server is adopted as a background (BG) to be synthesized; face detection is respectively performed on data foreground (FG) and background (BG) data which are acquired by a camera through using the face detection algorithm, and geometric transformation coefficients are calculated through face internal key point positioning and facial contour lines or a face minimum bonding rectangle frame; and accurate registration from the foreground (FG) to the background (BG), and face region data synthesis can be accomplished. With the fully-automatic face seamless synthesis-based video synthesis method of the invention adopted, the face image of a user can be conveniently synthesized into any existing images or videos in the process of video communication, and therefore, a sense of science and technology and interestingness can be added in the video communication, and fully-automatic seamless face synthesis of non-specific people can be realized.

The invention discloses a generative adversarial network-based method for generating a picture of a pedestrian with an arbitrary pose. Only by inputting a character picture, the pose of the pedestrianin the picture and a thermodynamic image of a target transfer pose to a generator network, a picture of the same character with a previous target pose can be obtained. A pose attention mechanism is introduced in a generator of the method, and two different discriminators are adopted for performing appearance consistency and pose consistency discrimination, so that multiple complex conditions of image deformation, geometric conversion, visual angle shift and the like can be met. Moreover, end-to-end training can be realized. According to the method for generating the picture of the pedestrianwith the arbitrary pose, an innovation is performed based on an existing technical idea, and a novel structure is adopted for performing network model building, so that compared with a conventional method, the synthesized picture is realer and more natural, and high practical application values are achieved.

The invention discloses a method for the geometric transformation calibration and the curved surface interpolation modification of a laser line scanning probe, and a device; the noncontact measurement technology is adopted to be used for the accurate calibration and further modification of the probe of a laser line scanning three-dimensional profile measuring system; the method carries out calculation on the basis of the basic measuring principle of a probe system and completely eliminates calibration theory errors brought by the traditional calibration method (such as a polyfit calculation method, etc.). In the detailed parameter calculating process, the statistical analysis technologies of curve analysis and least squares, etc., are adopted by the algorithm; therefore, the requirement of multiscale calibration caused by the related factors of lens distortion, probe assembly and adjustment error, etc. to different calibration areas is fully considered on the basis that the basic principle is fully met, thus leading the probe to have excellent stability and operability.

The invention presents a method of removing irrespective images based on a plurality of photographs, which utilizes complementary information in a plurality of photographs shot by users to remove irrespective images in the photographs, and can restore the real situation of the background shaded by tourists so as to keep the authenticity of the content of the photograph background. The users only need to specify a window containing irrespective images in a photograph, the invention can automatically search alternative windows matched with the window in a plurality of photographs with computer vision technique, and automatically carries out geometric transformation for the alternative windows so as to causes them to be exactly matched with the background around the irrespective image in the original photograph. The users only need to choose an alternative window containing only the background, which is removing the irrespective images from the photograph and completely restoring the real situation of the background shaded by tourists at the same time. The invention can also be used to remove other irrespective moving objects in the photograph, such as automobiles, etc.

Signal processing devices and methods estimate a geometric transform of an image signal. From a seed set of transform candidates, a direct least squares method applies a seed transform candidate to a reference signal and then measures correlation between the transformed reference signal and an image signal in which the reference signal is encoded. Geometric transform candidates encompass differential scale and shear, which are useful in approximating a perspective transform. For each candidate, update coordinates of reference signal features are identified in the image signal and provided as input to a least squares method to compute an update to the transform candidate. The method iterates so long as the update of the transform provides a better correlation. At the end of the process, the method identifies a geometric transform or set of top transforms based on a further analysis of correlation, as well as other results. Phase characteristics are exploited in the process of updating coordinates and measuring correlation. The geometric transform is used as an approximation of the geometric distortion of an image after digital data is encoded in it, and is used to compensate for this distortion to facilitate extracting embedded digital messages from the image. Due to the errors in the approximation, a signal confidence metric is determined and used to weight message symbol estimates extracted from the image.

A system and method recognize a user-defined model object within an image. The system and method recognize the model object with occlusion when the model object to be found is only partially visible. The system and method also recognize the model object with clutter when there may be other objects in the image, even within the model object. The system and method also recognize the model object with non-linear illumination changes as well as global or local contrast reversals. The model object to be found may have been distorted, when compared to the user-defined model object, from geometric transformations of a certain class such as translations, rigid transformations by translation and rotation, arbitrary affine transformations, as well as similarity transformations by translation, rotation, and scaling.