Patent classifications
G06T3/153
Systems and methods for registration of images
A method for registering images aligns a fixed image with a corresponding moving image. A target image and a reference image are selected. The reference and target images are relatively low-res representations of the fixed and moving images respectively. A current image distortion map is determined that defines distortions between the target and reference images. A residual image is determined by comparing the reference image and a warped target image derived from the target image based on the current image distortion map. A residual image distortion map is determined based on transform coefficients of cosine functions fitted to the residual image. The coefficients are determined by applying a DCT to a signal formed by the residual image and image gradients of the warped target or reference image. The current image distortion map is combined with the residual image distortion map to align the fixed image and the moving image.
Adapter for microscopic imaging
An adapter configured to be optically coupled to a plurality of microscopes and including a) a first microscope interface configured to optically couple a first microscope to an optical element in optical communication with an optical probe; b) a second microscope interface configured to optically couple a second microscope to the optical element in optical communication with the optical probe; and c) an optical arrangement configured to direct light collected from a sample with the aid of the optical probe to (1) the first microscope and second microscope simultaneously, or (2) the first microscope or second microscope selectively.
Adapter for microscopic imaging
An adapter configured to be optically coupled to a plurality of microscopes and including a) a first microscope interface configured to optically couple a first microscope to an optical element in optical communication with an optical probe; b) a second microscope interface configured to optically couple a second microscope to the optical element in optical communication with the optical probe; and c) an optical arrangement configured to direct light collected from a sample with the aid of the optical probe to (1) the first microscope and second microscope simultaneously, or (2) the first microscope or second microscope selectively.
System and method for cohesive multi-regional functional-anatomical medical image registration
A method includes applying both a first dedicated functional-anatomical registration scheme to a first volume of interest to deform the first volume of interest and a second dedicated functional-anatomical registration scheme to a second volume of interest to deform the second volume of interest, wherein the first volume of interest at least partially encompasses the second volume of interest. The method includes identifying or segmenting relevant organs or anatomical structures related to a first group and a second group in the first volume of interest and the second volume of interest, respectively; generating a spatially smooth-transition weight mask that gives higher weight to image data corresponding to the identified or segmented relevant organs or anatomical structures related to the first group and the second group; and generating a final cohesive registered image volume from the first image volume and the second image volume utilizing the spatially smooth-transition weight mask.
System and method for cohesive multi-regional functional-anatomical medical image registration
A method includes applying both a first dedicated functional-anatomical registration scheme to a first volume of interest to deform the first volume of interest and a second dedicated functional-anatomical registration scheme to a second volume of interest to deform the second volume of interest, wherein the first volume of interest at least partially encompasses the second volume of interest. The method includes identifying or segmenting relevant organs or anatomical structures related to a first group and a second group in the first volume of interest and the second volume of interest, respectively; generating a spatially smooth-transition weight mask that gives higher weight to image data corresponding to the identified or segmented relevant organs or anatomical structures related to the first group and the second group; and generating a final cohesive registered image volume from the first image volume and the second image volume utilizing the spatially smooth-transition weight mask.
IMAGE PROCESSING APPARATUS, CONTROL METHOD OF IMAGE PROCESSING APPARATUS, AND STORAGE MEDIUM
An image processing apparatus comprises a corresponding point obtaining unit configured to obtain corresponding points that are feature points of an object associated between a first image and a second image; a first deformation obtaining unit configured to obtain first deformation that is based on the corresponding points; a second deformation obtaining unit configured to obtain second deformation that is performed between the first image and the second image, and in which a degree of coincidence of corresponding points is lower than the first deformation; and a combining unit configured to combine the first deformation and the second deformation, regarding positions in at least one image of the first Image and the second image, based on distances between the corresponding points and the positions.
POINT CLOUD DATA PROCESSING DEVICE, POINT CLOUD DATA PROCESSING METHOD, AND POINT CLOUD DATA PROCESSING PROGRAM
Working efficiency in position matching of multiple point cloud data displayed on a display is improved. A point cloud data processing device includes a highlight controlling part. In a condition in which a first point cloud containing multiple markers for position matching and a second point cloud containing multiple markers for position matching are displayed on a display, when a marker of one of the first point cloud and the second point cloud is specified, the highlight controlling part highlights a corresponding marker of the other point cloud.
SYSTEMS AND METHODS FOR CONTENT-ADAPTIVE IMAGE STITCHING
A method for stitching images by an electronic device is described. The method includes obtaining at least two images. The method also includes selecting a stitching scheme from a set of stitching schemes based on one or more content measures of the at least two images. The set of stitching schemes includes a first stitching scheme, a second stitching scheme, and a third stitching scheme. The method further includes stitching the at least two images based on a selected stitching scheme.
BEAUTIFYING FREEFORM DRAWINGS USING TRANSFORMATION ADJUSTMENTS
Embodiments of the present invention are directed to beautifying freeform input paths in accordance with paths existing in the drawing (i.e., resolved paths). In some embodiments of the present invention, freeform input paths of a curved format can be modified or replaced to more precisely illustrate a path desired by a user. As such, a user can provide a freeform input path that resembles a path of interest by the user, but is not as precise as desired. Based on existing paths in the electronic drawing, a path suggestion(s) can be generated to rectify, modify, or replace the input path with a more precise path. In some cases, a user can then select a desired path suggestion, and the selected path then replaces the initially provided freeform input path.
System and Method for Displaying Graphical Effects Based on Determined Facial Positions
An electronic device and associated method place a sticker near a facial region in a digital image. The method detects 2D positions of facial features from a 2D digital image, and calculates a projection matrix from a predetermined 3D reference model having predefined facial feature points that correspond to the 2D detected facial features. The method then selects a digital sticker, and for each corner of the selected digital sticker, uses the projection matrix to transform 3D positions of the corner to corresponding positions on the 2D digital image. The method calculates a refinement matrix defining a correlation of each corner of the selected digital sticker to anchor points in the 2D digital image. Using the refinement matrix, the method calculates updated projected 2D positions and displays the selected sticker on the 2D digital image based on the updated projected 2D positions for each corner point.