149 results about "Image rectification" patented technology

The present invention relates to a method and to an apparatus for generating a surrounding image. The method for generating a surrounding image according to the present invention comprises the steps of: taking, as an input, images captured by cameras installed in the front and the rear of a vehicle and in the left and right sides of the vehicle, via respective channels connected to the cameras; correcting the captured images into a top view form to generate a plurality of corrected images; performing an overlaying process on the plurality of corrected images using a mask image containing region information on each channel and weight information for pixels constituting each region to generate a surrounding image of the vehicle; and displaying the thus-generated surrounding image. The present invention removes blind spots around the vehicle, and corrects the overlapped images captured by a plurality of cameras into natural images, thus enabling drivers to accurately recognize the surrounding situation of the vehicle. Therefore, a driver may park a vehicle in a convenient manner, and drive the vehicle in a forward or a backward direction in a safe manner even without looking at a side-view mirror or a rearview mirror.

The present invention is embodied in a system and method for rectifying two dimensional images of three dimensional (3D) objects for stereo vision processing. In general, the system and method of the present invention computes 2D projective transforms or homographies derived from specialized projective and affine transforms or components. The affine transform is comprised of a first transform and an optional second transform for image rectification. During image rectification of the present invention, optimization techniques are used for reducing the distortion.

The present invention is embodied in a system and method for computing rectifying homographies for stereo vision processing of three dimensional (3D) objects. In general, the system and method of the present invention computes 2D projective transforms or homographies derived from specialized projective and affine transforms or components. The affine transform is comprised of a similarity transform and an optional shearing transform for image rectification. During image rectification of the present invention, optimization techniques are used for reducing the distortion.

An image capturing device and a digital zooming method thereof are proposed in the invention. The method includes the following steps. A scene is captured by a primary lens and a secondary lens to generate a primary image and a secondary image. Image rectification is then performed on the primary and the secondary images to obtain two corresponding rectified images. Feature points detected and matched from the two rectified images are used to determine a corresponding overlapping region, respectively. Pixel displacement and depth map in the two overlapping regions could be calculated and estimated. Image zooming and warping techniques are performed on the two rectified images to obtain corresponding warped images using a recalculated homography matrix according to each specific zooming factor. Finally, the two overlapping regions in the warped image are fused by a weighted blending approach to generate a digital zoomed image.

In a digital camera, when snapshot shooting is instructed during recording of a moving image, a shot still image is temporarily pushed aside in a memory area for use in pushing aside (7a) in a frame buffer (7). A currently shooting motion image and a still image are displayed in parallel on a display (9), so that a user can confirm a content of a snapshot. The moving image continues to be recorded even during a push-aside operation. After a moving image processing is completed, the still image is processed by an image correcting circuit (4) The frame buffer (7) comprises a plurality of frame recording areas, and is shared on the occasions of a moving image processing and a still image processing. In a normal moving image processing, these areas are utilized in a cyclic manner, and when the still image is shot, any of areas will be utilized. Thereafter, the rest of areas are utilized in the cyclic manner for the moving images. The recording function for the moving image and still image is improved at low cost, it becomes easy to take a snapshot, and the merchandise size is not increased.

Raw image data obtained by shooting is thinned at a thinning rate, which is determined in accordance with a shooting scene, to produce simple raw image data. The thinning rate is determined such that necessary information for proper checking is maintained and unnecessary information for checking is thinned. Image correction is performed for the simple raw image data with predetermined processing parameters, and this data is converted into a simple display image to be shown on a monitor. An operator observes the simple display image to change the processing parameters. Whenever the processing parameters are changed, the image correction is performed for the simple raw image data with the changed processing parameters to update the simple display image. For the raw image data, image correction is performed with the finally determined processing parameters.

An image projection system includes a second transform matrix calculator that calculates a second projection transform matrix usable to projection-transform first intersection coordinates into intersection coordinates uniformly or substantially uniformly distributed in a first area and calculates a third projection transform matrix usable to projection-transform second intersection coordinates into intersection coordinates uniformly or substantially uniformly distributed in a second area; and an image corrector that transforms image data on a first divided image by use of the second projection transform matrix, transforms image data on a second divided image by use of the third projection transform matrix, and translates at least one of the first divided image and the second divided image toward a borderline between the first divided image and the second divided image to delete a gap between the first divided image and the second divided image.

Multi-resolution images of a reference image and a target image are generated. Then, whole-range matching is performed on an image of a lower resolution to detect a two-dimensional displacement between the images. Block matching is performed on an image of a higher resolution to detect a displacement at each feature point. The accuracy of motion data is increased by correcting the motion data with an image of a higher resolution by using the previously calculated motion data of the lowest resolution through higher resolutions as an initial value.

A logistics composite code identification method based on multitask depth learning comprises a method for acquiring logistics composite code images in all directions, a label design scheme convenientfor visually detecting and positioning a spray code character, a design scheme suitable for the character positioning of the label of the spray code character, a segmented character size, a font and an interval among the characters, a composite code design scheme suitable for visual identification, a Faster R-CNN network used for detecting and positioning a composite code, an algorithm module usedfor composite code image rectification and the forward / backward detection of the characters, a multi-task deep convolutional neural network used for deep learning and training identification, a convolutional neural network based on the character identification on the label of the spray code character of deep learning, the algorithm module used for identifying a one-dimensional barcode in the composite code, the algorithm module used for identifying the two-dimensional barcode in the composite code, and a sorting control module used for controlling sorting action according to identified composite code information. In the invention, a problem that a lot of randomly-placed, irregular-shaped, flexible packaging cargos can not be quickly and automatically sorted is effectively solved.

The invention discloses a quick image rectification method in the presence of translation and rotation at the same time. Another image which searches for reference image relationship is called an image to be rectified; a circular template matching method is adopted to determine translation amount; after the radius of the circular template is determined, the central structure of a reference image serves as a reference template; within a certain search range of the image to be rectified, a block of graph in optimum matching with the reference template is searched, and the difference value of the circle center coordinates of the reference template and the block of graph is the translation amount of the image to be rectified relative to the reference image; on the other aspect, the circular reference template and the matching block respectively are subject to logarithm pole coordinate transformation; the corresponding reference template and a matching subblock of the image to be rectified are subject to gray-scale projection to determine the rotation angle of the image to be rectified relative to the reference image; and the image rotates according to the angle to finish the quick rectification of images. The invention realizes the quick image rectification in the presence of translation and rotation at the same time.

An apparatus, method, system, computer program and product, each capable of correcting aberration or light intensity reduction of an image captured through a lens. A plurality of image correction data items is prepared for a plurality of shooting condition data sets. The image captured under a shooting condition is corrected using one of the plurality of image correction data items that corresponds to the shooting condition.

A process output image generator generates one sheet of a process output image by performing a process using plural sheets of captured images sequentially output from a pickup device in consideration of one of the plural sheets of captured images as a reference image. A deterioration corrector corrects the image deterioration occurring in the captured images by an optical pickup system, with respect to the captured images in a front end of the process output image generator. A controller can control whether to perform the correction in the deterioration corrector for one sheet of the captured images, and controls to perform the correction with respect to at least the reference image among the plural sheets of captured images.

The invention provides an automatic SAR (synthetic-aperture radar) image rectification method. In the method, the problems encountered when feature points are selected by SIFT (scale-invariant feature transform) rectifying points under the condition of SAR image complex landforms are analyzed, the feature points are combined with the Delaunay triangulation network and coded, and triangle similarity of coded feature points are judged through automatic threshold values according to the Delaunay triangularization principle. Since SIFT rectification and the Delaunay triangulation network have robustness to geometric changes such as rotation, wrong rectifying points rectified by the SIFT can be filtered by the SIFT-Delaunay encryption algorithm according to the similarity among triangles, and accurate rectification can be achieved.

The invention discloses a method of using illumination estimation to correct an image color, which belongs to the technical field of computer vision and image processing. The method is quick in speed and good in robustness, and image color correction can be carried out in real time. The color is one of the most basic and the most direct features in vision information, and can be widely applied to application fields such as image retrieval and object recognition. However, the color feature is also a vision feature which is extremely instable, and is likely to be influenced by illumination changes. The image in an unknown illumination condition is corrected to an image under a standard white light, and the process is simply summarized that the illumination color in the case of image imaging is estimated firstly, and the image is mapped to the standard white light by using a Von Kries model. Better image white balance effects can be acquired. The method of the invention has the advantages that the parameters are few; the calculation is simple; the speed is quick; the effects are good; real-time processing can be carried out; and the method is particularly suitable for using a pretreated front end of a built-in camera to carry out color correction on the image.

The invention provides an image rectification device, which includes an audio acquisition and processing unit for acquiring audio signals; a audio source identification unit for judging the direction of sound based on the audio signals collected by the audio acquisition and processing unit and for generating corresponding horizontal view angles; a image acquisition and processing unit for collecting a shot panoramic image; a image rectification unit for selecting the panoramic image collected by the image acquisition and processing unit based on the horizontal view angle generated by the audio source identification unit to implement the rectification on the window zone over the horizontal view angle and to obtain the planar image of the window zone; a compression and transmission unit for the compression and transmission of the planar images and the audio signals of the window zone of the image rectification unit. The device selects and rectifies an output image by the audio signal and does not need the output of the whole image, thus reducing the transmission of data under the circumstances of limited network bandwidth and ensuring the smoothness of the transmission of video conference images.

A binocular three-dimensional reconstruction method includes the following steps: step A, image collection: using two color cameras with the same model and arranging the two color cameras horizontally in a parallel mode, and enabling an target object to be arranged within the collecting range of the two cameras, wherein a image collected by a left camera is an original left image and a image collected by a right camera is an original right image; step B, camera calibration, and image rectification and pretreatment: adopting a chessboard method to demarcate and obtain inner and outer diameters of the two cameras, and then rectifying the original left image and the original right image, and next, pretreating the images; step C, hierarchical matching: conducting hierarchical feature extraction and matching to the images according to strong and week of feature lines of the images; step D, three-dimensional reconstruction: after completing the delamination which reaches required precision, according to a parallax principle, enabling obtained matching information of the two images to be calculated into three-dimensional information of the target object, adopting a method of plane interpolation, and then completing the three-dimensional reconstruction. The method has the advantages of being low in algorithm complexity and capable of achieving the three-dimensional reconstruction well and the like.

The invention discloses a digital image registration method, a digital image registration device, a digital subtraction image rectification method and digital subtraction image rectification equipment. The digital image registration method includes: acquiring corresponding template windows for a live image, a mask image and a subtraction image; dividing the template windows into blood-vessel-contained template windows and non-blood-vessel template windows according to blood vessel characteristics in the template windows; and subjecting the non-blood-vessel template windows to similarity measurement on the basis of image quality evaluation. Thereby, motion artifacts in blood vessel areas can be guaranteed to be effectively eliminated, motion noise in non-blood-vessel areas can be eliminated, evaluation indexes for rectification method performances or image registration performances are obtained, and objective evaluations for subtraction image quality and the rectification method performances are realized.

The invention discloses a lens shadow correction coefficient confirming method, a lens shadow correcting method and a device thereof, which comprise: the reference correction coefficient of each pixel point is obtained according to a training image; the reference correction coefficient forms a two-dimensional correction curved surface at a pixel point coordinate plane; the binary high-ordered power multinomial of the pixel point coordinate is used for fitting the two-dimensional correction curved surface; the lens shadow correction coefficient corresponding to each pixel point coordinate is calculated according to the multinomial, and an image shot by the lens is processed for lens shadow correction disposal according to the confirmed lens shadow correction coefficient. The method of the invention is suitable for the lens shadow correction for the image shot by various types of lenses, which has good image correction effect and is simple to be realized.

The invention provides an image rectification method and a relevant image rectification system, which can be used to perform rectification on an image captured by a fisheye lens or ultra wide angle lens, to reduce a geometric distortion phenomenon in the image, and can perform geometric adjustment on an image according to user's requirements. The invention enhances image rectification processing efficiency via a memory configuration technique.

The invention is applicable to the field of image processing and provides a method, device and system for correcting face images. The method comprises the following steps of: acquiring the face image; preprocessing the acquired face image and extracting a profile of the preprocessed face image; determining the positions of two eyes in the profile of the face image; according to the positions of the two eyes, calculating a center coordinate of the face image and an angle deviating from a vertical position; and reversely rotating the face image deviating from the vertical position at the angle by taking the center coordinate as the center. According to the invention, the acquired oblique face image can be corrected, and the face recognition rate is increased. In addition, the method is simple and efficient and has stronger practicability.

The invention provides an image acquisition device and a digital zooming method thereof. The method comprises the following steps of: acquiring an image of a scene by utilizing a main lens and an auxiliary lens, such that a main image and an auxiliary image are generated; performing image correction treatment of the main image and the auxiliary image, such that a main corrected image and an auxiliary corrected image are generated; and performing feature point detection of the main corrected image and the auxiliary corrected image so as to detect an overlapped region of the main and auxiliary corrected images, such that pixel displacement information and pixel depth information thereof are obtained. According to the zoom ratio, the pixel displacement information and the pixel depth information, image zooming treatment and the image deformation treatment of the main corrected image and the auxiliary corrected image are respectively carried out, such that a main deformed image and an auxiliary deformed image are generated; and, according to the zoom ratio, image fusion treatment of the overlapped region of the main and auxiliary deformed images is carried out, such that a digital zoom image is generated.

A set of features in a pair of images is associated to selected cells within a set of cells using a base mesh. Each image of the pair of images is divided using the base mesh to generate the set of cells. The set of features is defined in terms of the selected cells. A stereo image pair is generated by transforming the set of cells with a mesh-based transformation function. A transformation of the set of cells is computed by applying an energy minimization function to the set of cells. A selected transformed mesh and another transformed mesh are generated by applying the transformation of the set of cells to the base mesh. The mesh-based transformation function preserves selected properties of the set of features in the pair of images.

The invention discloses a digital image watermark detection method based on support vector machine correction, which comprises the following steps of: extracting the phase information of an image in a high-frequency sub-band after the to-be-detected image is subjected to plural pyramid transformation, calculating the energies of Gaussian-Hermite moments on the four directions of a second level of high-frequency sub-band and taking the energies as training features; and training a sample in combination with the minimum square support vector machine theory to obtain a training model, thereby carrying out geometric correction. As the plural pyramid transformation and the support vector machine theory are combined, the digital watermark robustness can be effectively improved through the method, and meanwhile, the imperceptibility and the amount of information of a digital watermark are ensured. The digital image watermark detection method has the characteristics of simple calculation and no original carrier required in the watermark extraction, and the practicability of the watermark for digital image copyright protection is enhanced.

The invention discloses a video image fusion-processing system. The video image fusion-processing system comprises an image acquiring module, an image fusion-processing module, an image evaluating module, wherein the image acquiring module is used for realizing format conversion between infrared image and visible light which are acquired by two coaxial sensors in real time; the image fusion-processing module is used for performing frame-by-frame processing on the format-converted infrared image and visible light image; if the infrared image is not matched with the visible light image, performing image rectification and then performing fusion-processing to obtain a fused image; the image evaluating module is used for calculating various image indexes before and after fusing, and analyzing the fused results. Through the fused images, the video image fusion-processing system can be used for obtaining a certain strengthening effect under a greasy weather condition or a night condition.

This invention is a method for rectifying an input digital image including warped textual information. The method includes analyzing the input digital image to determine a plurality of text line traces that track along with the warped textual lines in a substantially parallel fashion. The input digital image is subdivided into a plurality of vertical slices, each having associated first and second slice edges and an associated slice width. Vertical slice deformation models are formed for the vertical slices by identifying a plurality of text line traces that cross a particular vertical slice, and fitting a parametric function that predicts second-edge vertical coordinates for the text line traces as a function of corresponding first-edge vertical coordinates. A plurality of streamlines are formed responsive to the vertical slice deformation models. A global deformation function is formed by interpolating between the streamlines and is used to form a rectified image

An image projection system includes a second transform matrix calculator that calculates a second projection transform matrix usable to projection-transform first intersection coordinates into intersection coordinates uniformly or substantially uniformly distributed in a first area and calculates a third projection transform matrix usable to projection-transform second intersection coordinates into intersection coordinates uniformly or substantially uniformly distributed in a second area; and an image corrector that transforms image data on a first divided image by use of the second projection transform matrix, transforms image data on a second divided image by use of the third projection transform matrix, and translates at least one of the first divided image and the second divided image toward a borderline between the first divided image and the second divided image to delete a gap between the first divided image and the second divided image.