185 results about "Pixel mapping" patented technology

A system comprising a convergent parameter instrument and a laser digital image projector for obtaining a surface map of a target anatomical surface, obtaining images of that surface from a module of the convergent parameter instrument, applying pixel mapping algorithms to impute three dimensional coordinate data from the surface map to a two dimensional image obtained through the convergent parameter instrument, projecting images from the convergent parameter instrument onto the target anatomical surface as a medical reference, and applying a skew correction algorithm to the image.

The present invention relates to a method for closed-loop controlling a processing operation of a workpiece, comprising the steps of: (a) recording a pixel image at an initial time point of an interaction zone by means of a camera, wherein the workpiece is processed using an actuator having an initial actuator value; (b) converting the pixel image into a pixel vector; (c) representing the pixel vector by a sum of predetermined pixel mappings each multiplied by a corresponding feature value; (d) classifying the set of feature values on the basis of learned feature values into at least two classes of a group of classes comprising a first class of a too high actuator value, a second class of a sufficient actuator value and a third class of a too low actuator value at the initial time point; (e) performing a control step for adapting the actuator value by minimizing the error e_t between a quality indicator y_e and a desired value; and (f) repeating the steps (a) to (e) for further time points to perform a closed-loop controlled processing operation.

Aspects of the present invention include systems and methods for resizing a set of images, which may comprises one or more images, while preserving the important content. In embodiments, the saliency of pixels in the set of images is determined using one or more image features. A small number of pixels, called anchor points, are selected from the set of images by saliency-based sampling. The corresponding positions of these anchor points in the set of target images are obtained using pixel mapping. In embodiments, to prevent mis-ordering of pixel mapping, an iterative approach is used to constrain the mapped pixels to be within the boundaries of the target image/video. In embodiments, based on the mapping of neighboring anchor points, other pixels in the target are inpainted by back-projection and interpolation. The combination of sampling and mapping greatly reduces the computational cost yet leads to a global solution to content-aware image/video resizing.

The invention discloses a depth-based cavity repairing method in viewpoint synthesis. The method comprises steps as follows: (1) performing depth edge one-way expansion preprocessing on an input reference depth map to eliminate inter-infiltration of a foreground pixel and a background pixel in a synthesized virtual viewpoint view; (2) performing pixel mapping transformation by using the preprocessed reference depth map and an original reference view to obtain a virtual viewpoint view with a cavity and a virtual viewpoint depth map; (3) repairing the cavity in the virtual depth map with a pixel-based image repairing method in combination with the relative position relation between the foreground and the background around the cavity in the virtual viewpoint depth map; (4) repairing the cavity in the virtual viewpoint view with an improved sample-based image repairing method in combination with the repaired virtual viewpoint depth map. With the adoption of the method, the virtual viewpoint view with better quality can be obtained, the continuity of image edges can be better kept, and the inter-infiltration of the foreground and background pixels can be eliminated.

Systems and methods for detecting and correcting redeye defects in a digital image are described. In one aspect, the invention proposes a color image segmentation method. In accordance with this method, pixels of the input image are segmented by mapping the pixels to a color space and using a number of segmentation surfaces defined in the color space. Based on segmentation results, candidate redeye pixel regions are further identified. In another aspect, the invention features a method to classify candidate redeye pixel regions into redeye pixel regions and non-redeye pixel regions. In accordance with this method, the candidate redeye pixel regions are processed by a cascade of classification stages. In each classification stage, a plural of attributes are computed for the input candidate redeye pixel region to define a feature vector. The feature vector is feed to a pre-trained binary classifier. A candidate redeye pixel region that passes a classification stage is further processed by a next classification stage, while a region that fails is rejected and dropped from further processing. Only the candidate redeye pixel regions that pass all the classification stages are identified as the redeye pixel regions. In another aspect, the invention describes a set of attributes that are effective in driving classification of redeye pixel regions from non-redeye pixel regions. The invention also describes a scheme to generate a plural of attributes and a machine learning scheme to select best attributes for classification design purpose.

The present invention relates to the compression of color image data. A combination of hard decision pixel mapping and soft decision pixel mapping is used to jointly address both quantization distortion and compression rate while maintaining low computational complexity and compatibility with standard decoders, such as, for example, the GIF/PNG decoder.

The present invention relates to the compression of color image data. A combination of hard decision pixel mapping and soft decision pixel mapping is used to jointly address both quantization distortion and compression rate while maintaining low computational complexity and compatibility with standard decoders, such as, for example, the GIF/PNG decoder.

An HD map system represents landmarks on a high definition map for autonomous vehicle navigation, including describing spatial location of lanes of a road and semantic information about each lane, andalong with traffic signs and landmarks. The system generates lane lines designating lanes of roads based on, for example, mapping of camera image pixels with high probability of being on lane lines into a three-dimensional space, and locating/connecting center lines of the lane lines. The system builds a large connected network of lane elements and their connections as a lane element graph. The system also represents traffic signs based on camera images and detection and ranging sensor depth maps. These landmarks are used in building a high definition map that allows autonomous vehicles to safely navigate through their environments.

The invention discloses a grating-type multi-viewpoint stereo image synthesis method which comprises the following steps: (1) obtaining a lenticular grating pitch parameter p; (2) obtaining a grating inclination angle parameter; (3) obtaining a stereo display sub-pixel and a resolution parameter; (4) according to the size of the lenticular grating pitch, the grating inclination angle and the stereo display sub-pixel, determining the number of viewpoints; (5) obtaining the mapping relationship of the sub-pixel and the viewpoints, namely determining a sub-pixel filling path according to the stereo display grating inclination angle; and (6) after a sub-pixel mapping table is finished, successively filling the pixels of the multi-viewpoint image into a target stereo image according to the filling path. The grating-type multi-viewpoint stereo image synthesis method has the advantages that distortion-free stereo images can be obtained by virtue of the light splitting of a stereo display, and the stereo visual effect is good.

The invention discloses a wide dynamic fusion method based on a single-frame double-pulse exposure mode. The method comprises the following steps of acquiring a long exposure pixel and a short exposure pixel according to an exposure format; calculating and acquiring a mapping curve according to a ratio of the long exposure pixel to the short exposure pixel and bright and dark regions of the pixels; performing long exposure pixel mapping and short exposure pixel mapping according to the long exposure pixel, the short exposure pixel and the mapping curve; judging the edge direction of the long exposure pixel and/or the short exposure pixel and acquiring the interpolation of the edge direction of the long exposure pixel and/or the short exposure pixel; and fusing long exposure and short exposure according to the long exposure pixel mapping, the short exposure pixel mapping and the interpolation of the edge direction of the long exposure pixel and/or the short exposure pixel. By the wide dynamic fusion method based on the single-frame double-pulse exposure mode, a promoted dynamic range is wide, details of an image are protected well, and the color is real.

A method for enhancing a digital image involves selecting an image as an original image to be enhanced, creating by a pixel mapping procedure at least two images altered from the original image in a first image attribute, each of the altered images differing in the first image attribute, displaying the altered images to a user, and selecting by the user one of the images displayed as preferable to the other images displayed.

Interferometric methods and apparatus by which the map between pixel positions and corresponding part locations are determined in situ. The part under test, which is assumed to be a rigid body, is precisely moved from a base position to at least one other position in one to six degrees of freedom in three-dimensional space. Then, the actual displacements are obtained. The base position is defined as the position with the smallest fringe density. Measurements for the base and all subsequent positions are stored. After having collected at least one measurement for each degree of freedom under consideration, the part coordinates are calculated using the differences of the various phase maps with respect to the base position. The part coordinates are then correlated with the pixel coordinates and stored.

A method and associated device wherein an inverse histogram based pixel mapping step is combined with an edge enhancement step such as unsharp masking. In such an arrangement the inverse histogram based pixel mapping step improves the performance of the unsharp masking step, serving to minimize the enhancement of noise components while desired signal components are sharpened.

This disclosure describes an LED display device. The LED display device includes a transmitter having a memory and a pixel mapping table, a plurality of first receivers coupled to the transmitter, a plurality of second receiver modules, and a plurality of LED driver groups. A unique address is assigned to a data packet with a use of the pixel mapping table. The data packet has a set of field information and the set of field information includes the unique address. Each of the second receiver modules is coupled to at least one of the first receivers and includes a plurality of second receivers. None of the plurality of second receivers comprises a pixel mapping memory. Each of the LED driver groups is coupled to one of the plurality of second receivers and includes a plurality of LED drivers.

The invention discloses an object-based virtual image drawing method of a three-dimensional/free viewpoint television, which comprises the following steps: dividing a color image into an inner region, a background region and a boundary region of an object through an object mask image of the color image, and then, dividing the color image into a plurality of blocks with different sizes according to the three regions; for a whole mapping type block, only needing to carry out three-dimensional image conversion on one pixel point in the block to determine the coordinate mapping relation for projecting the pixel point from the color image into a virtual viewpoint color image, and then, projecting the whole block into the virtual viewpoint color image by using the coordinate mapping relation, wherein because the three-dimensional image conversion is only carried out on one pixel point, the drawing speed of the whole mapping type block can be effectively improved; and for sequential pixel mapping type blocks, because the blocks are mainly positioned in the boundary region, still mapping each pixel point in the blocks into the virtual viewpoint color image by using a sequential pixel mapping type three-dimensional image conversion method , thereby effectively ensuring the drawing precision.

There is provided a three-dimensional image display device, including: a display panel including a plurality of signal lines and a plurality of pixels connected to the plurality of signal lines; a viewpoint divider configured to divide an image displayed by the display panel into a plurality of viewpoints; a parameter storage unit configured to store parameters for an alignment between the display panel and the viewpoint divider; an image processor configured to calculate a rendering pitch according to the alignment between the display panel and the viewpoint divider by using the parameters stored in the parameter storage unit and generate an image signal to perform pixel mapping according to the rendering pitch; and a display panel driver configured to receive the image signal to drive the display panel.