692 results about "Image alignment" patented technology

There are many inventions described herein. Some aspects are directed to methods and/or apparatus to provide relative movement between optics, or portion(s) thereof, and sensors, or portion(s) thereof, in a digital camera. The relative movement may be in any of various directions. In some aspects, relative movement between an optics portion, or portion(s) thereof, and a sensor portion, or portion(s) thereof, are used in providing any of various features and/or in the various applications disclosed herein, including, for example, but not limited to, increasing resolution, optical and electronic zoom, image stabilization, channel alignment, channel-channel alignment, image alignment, lens alignment, masking, image discrimination, range finding, 3D imaging, auto focus, mechanical shutter, mechanical iris, multi and hyperspectral imaging, and/or combinations thereof. In some aspects, movement is provided by actuators, for example, but not limited to MEMS actuators, and by applying appropriate control signal thereto.

Methods, storage mediums, and systems for image data processing are provided. Embodiments for the methods, storage mediums, and systems include configurations to perform one or more of the following steps: background signal measurement, particle identification using classification dye emission and cluster rejection, inter-image alignment, inter-image particle correlation, fluorescence integration of reporter emission, and image plane normalization.

<heading lvl="0">Abstract of Disclosure</heading> This invention relates to an electrophoretic display or a liquid crystal display and novel processes for its manufacture. The electrophoretic display (EPD) of the present invention comprises microcups of well-defined shape, size and aspect ratio and the microcups are filled with charged pigment particles dispersed in an optically contrasting dielectric solvent. The liquid crystal display (LCD) of this invention comprises well-defined microcups filled with at least a liquid crystal composition having its ordinary refractive index matched to that of the isotropic cup material. A novel roll-to-roll process and apparatus of the invention permits the display manufacture to be carried out continuously by a synchronized photo-lithographic process. The synchronized roll-to-roll process and apparatus permits a pre-patterned photomask, formed as a continuous loop, to be rolled in a synchronized motion in close parallel alignment to a web which has been pre-coated with a radiation sensitive material, so as to maintain image alignment during exposure to a radiation source. The radiation sensitive material may be a radiation curable material, in which the exposed and cured portions form the microcup structure. In an additional process step, the radiation sensitive material may be a positively working photoresist which temporarily seals the microcups. Exposure of a selected subset of the microcups via the photomask image permits selective re-opening, filling and sealing of the microcup subset. Repetition with additional colors permits the continuous assembly of a multicolor EPD or LCD display.

Digital cameras and methods that help a user accurately align sequential photographs to create large panoramas and composite photographs derived from a sequence of smaller photographs. This effectively creates a higher resolution, or larger, photograph from a zigzag series of photographs using a low resolution camera. An algorithm running on the camera guides a user through the image-taking procedure, allowing him or her to select if a panoramic or composite photograph is to be taken, and optionally the number of images (width and height) needed to create the final image. The algorithm displays indicia, such as marks or a shadow (transparent) image, that are overlaid and moved over the live image during the image-taking process to help align the subsequent image to be taken with the previously recorded image.

A method includes matching at least portions of first, second signals using local self-similarity descriptors of the signals. The matching includes computing a local self-similarity descriptor for each one of at least a portion of points in the first signal, forming a query ensemble of the descriptors for the first signal and seeking an ensemble of descriptors of the second signal which matches the query ensemble of descriptors. This matching can be used for image categorization, object classification, object recognition, image segmentation, image alignment, video categorization, action recognition, action classification, video segmentation, video alignment, signal alignment, multi-sensor signal alignment, multi-sensor signal matching, optical character recognition, image and video synthesis, correspondence estimation, signal registration and change detection. It may also be used to synthesize a new signal with elements similar to those of a guiding signal synthesized from portions of the reference signal. Apparatus is also included.

The present invention provides a novel technique and is particularly useful in medical imaging, although a number of fields may benefit from its application. In one aspect of the technique, a user identifies anomalies or, more generally, features in at least two different comparable images either by computer aided techniques or by manual identification. Once the features are identified they are numbered, sized, and a key location for the feature, such as the middle of an anomaly, may be estimated. Once this location is determined, a location marker is used to perform registration of the images. When comparisons are to be conducted, then, the registration is used to effectively anchor the images with respect to one another to facilitate paging between the images and reduction of eye movement.

A method comprising: obtaining an image about an at least one object of interest and a three-dimensional (3D) point cloud about said object of interest; aligning the 3D point cloud with the image; segmenting the image into a plurality of superpixels preserving a graph structure and spatial neighbourhood of pixel data of the image; associating the superpixels in the image with a subset of said 3D points, said subset of 3D points representing a planar patch in said object of interest; extracting a plurality of 3D features for each patch; and assigning at least one vector representing at least one 3D feature with a semantic label on the basis of at least one extracted 3D feature of the patch.

A method for reading fingerprints is disclosed. The method comprises acquiring images of a fingerprint from a finger upon relative movement between the finger and an image sensor; selecting lines from said acquired images representing a new area of said fingerprint; determining composition parameters for each selected line: and storing said composition parameters and said selected lines such that a composite image comprising said selected lines is composabte. A corresponding fingerprint reading apparatus, a device, and a computer program are also disclosed.

This invention relates to one visual frequency stable method based on property matching in the computer image visual frequency process technique field, which comprises the following steps: finding out each frame of visual SIFT property points; adopting simulation module as parameters estimation module for total estimation; adopting Gauss filter and curve matching method to process visual sequence process to fill unknown area.

A system automatically compares radiotherapy 3D X-Ray images and subsequent images for update and re-planning of treatment and for verification of correct patient and image association. A medical radiation therapy system and workflow includes a task processor for providing task management data for initiating image comparison tasks prior to performing a session of radiotherapy. An image comparator, coupled to the task processor, in response to the task management data, compares a first image of an anatomical portion of a particular patient used for planning radiotherapy for the particular patient, with a second image of the anatomical portion of the particular patient obtained on a subsequent date, by image alignment and comparison of image element representative data of aligned first and second images to determine an image difference representative remainder value and determines whether the image difference representative remainder value exceeds a first predetermined threshold. An output processor, coupled to the image comparator, initiates generation of an alert message indicating a need to review planned radiotherapy treatment for communication to a user in response to a determination the image difference representative remainder value exceeds a predetermined threshold.

The apparatus greatly reduces the registered data amount and the verification computation amount required for user verification, in comparison with the verification using image information itself, and also decreases the false verification rate. The apparatus divides a biometric information image into cells, and extracts minutia information as well as cell basic information from the individual cells. After comparison of direction information of the individual cells of the registered data with direction information of the individual cells of the to-be-verified data, thereby aligning the registered fingerprint image and the to-be-verified fingerprint image, the apparatus compares the minutia information of corresponding cells between the registered data and the to-be-verified data to make a match/non-match decision. Such an apparatus is applicable to systems that employ pattern matching type image verification to perform user verification utilizing biometric information such as fingerprints, palm prints, blood vessel patterns, iris patterns, and facial images.

An object-image alignment data generating method for use in an object recognition system is presented. The method obtains a 3D model and a set of 2D images of the object. Each 2D image from the set is captured based on a particular camera point of view. The method then uses the 3D model of the object to generate multiple silhouettes of the object according to different camera point of views. Each silhouette is then matched and aligned with a 2D image based on the corresponding camera point of view. The method also derives at least one descriptor from the 2D images and compiles feature points that correspond to the descriptors. Each feature point includes a 2D location and a 3D location. The method then generates an object-image alignment packet by packaging the 2D images, the descriptors, and the feature points.

Some embodiments allow a video editor to spatially and temporally align two or more video sequences into a single video sequence. As used in this application, a video sequence is a set of images (e.g., a set of video frames or fields). A video sequence can be from any media, such as broadcast media or recording media (e.g., camera, film, DVD, etc.). Some embodiments are implemented in a video editing application that has a user selectable alignment operation, which when selected aligns two or more video sequences. In some embodiments, the alignment operation identifies a set of pixels in one image (i.e., a “first” image) of a first video sequence and another image (i.e., a “second” image) of a second video sequence. The alignment operation defines a motion function that describes the motion of the set of pixels between the first and second images. The operation then defines an objective function based on the motion function. The operation finds an optimal solution for the objective function. Based on the objective function, the operation identifies a transform, which it then applies to the first image in order to align the first image with the second image.

A fingerprint recognition method includes iterative gamma correction that compensates moisture effect, feature extraction operations, directional morphological filtering that effectively links broken ridges and breaks smeared ridges, adaptive image alignment by local minutia matching, global matching by relaxed rigid transform, and statistical matching with Gaussian weighting functions.

A system and method for providing lane sensing on a vehicle by detecting roadway lane-markers, where the system employs a surround view camera system providing a top-down view image around the vehicle. The method includes detecting left-side and right-side lane boundary lines in the top-down view image, and then determining whether the lane boundary lines in the image are aligned from one image frame to a next image frame and are aligned from image to image in the top-down view image. If the boundary lines are not aligned, then calibration of one or more of the cameras is performed, and if the lines are aligned, then a model fitting process is used to specifically identify the location of the boundary lines on the roadway.

The extraction processor of the medical image-processing apparatus sets landmarks of each medical image based on volume data of two medical images. The positional relationship information-generating part generates positional relationship information that indicates positional relationship of the landmarks for each of the two medial images. The landmark-coordinating part eliminates one or more landmarks from each medical image based on the positional relationship information. Further, the landmark-coordinating part coordinates the landmarks of two medical images that remained after the elimination. The image-aligning part aligns the two sets of volume data based on the result of the coordination of landmarks.

The invention provides an image alignment method based on a novel end-to-end face super-resolution network. In the image alignment method, a face super-resolution network and a face super-resolution generative adversarial network are mainly involved; the image alignment method comprises the following process: constructing a coarse-grained super-resolution (SR) network for recovering a coarse-grained high-resolution (HR) image; sending the coarse-grained HR image to a fine-grained SR encoder and a prior information estimating network respectively, wherein the fine-grained SR encoder is used forextracting image features and the prior information estimating network is used for estimating a critical point heat map; restoring the HR image by using the image features and prior information in adecoder, wherein in order to further generate a realistic face, the face super-resolution generative adversarial network is provided and adversarial loss is brought into the face super-resolution network. A network consisting of the face super-resolution network and the face super-resolution generative adversarial network is used for image alignment, so that the imaging quality can be effectivelyimproved and the image alignment method is simplified.

The invention discloses a method for fast constructing a high-accuracy personalized face model on the basis of facial images, which belongs to the cross field of computer vision and computer graphics, and aims at achieving the purposes of fast reconstructing a personalized 3D geometrical facial model and a high-accuracy 2D facial texture mapping on the basis of real facial images. The method comprises the following steps: firstly, shooting five facial images from multiple angles; secondly, marking positions and corresponding relationships of forty-one characteristic points on the facial images and a neutral facial model; thirdly, aligning the projection of the neutral facial model on a virtual camera focal plane with the facial images; fourthly, carrying out hierarchical geometrical deformation on the neutral facial model to obtain the personalized geometrical facial model; and finally, synthesizing the high-accuracy facial texture mapping according to the five facial images. The face modeling method has the advantages of convenience for data acquisition, high modeling speed and modeling accuracy, and the like, and achieves higher practical values in the fields of video communication, electronic games, man-machine interaction, and the like.

A progressive self-learning (PSL) method is provided for enhancing wafer or mask defect inspection review and classification by identifying a plurality of wafer or mask defects, and by classifying each of the plurality of defects according to an extent of resemblance of each defect. The method having the steps of: performing image processing on a scanned defect image; aligning the scanned defect image with a just-stored digitized defect image; matching the scanned defect image with a just-stored digitized defect image; and classifying the scanned defect image.

A computer implemented method and system is provided for aligning multiple overlapping images in real time using translation invariant feature matching. A user captures overlapping images comprising a first image and a second image using one or more image capture devices. An image aligning application determines one or more local maxima pixel points and local minima pixel points in the first image and the second image based on predetermined statistical criteria. The image aligning application performs iterative intra image correlation in the first image for selecting a predetermined number of feature points. The image aligning application performs iterative inter image correlation for the selected feature points, for determining a predetermined number of best correlated feature point pairs, and selects a matching feature point pair from the best correlated feature point pairs. The image aligning application aligns the first image and the second image using the selected matching feature point pair.