11 results about "Picture plane" patented technology

The invention discloses a parameter calibration method, intelligent glasses and a readable storage medium, and relates to the technical field of intelligent wearable devices, the method is applied to the intelligent glasses, and the method comprises the following steps: through first coordinate information, in a world coordinate system, of a target calibration object and second coordinate information, in an image plane coordinate system, of the target calibration object, obtaining a parameter calibration result; acquiring external parameters of the image acquisition module relative to a world coordinate system; based on external parameters, mapping third coordinate information of a fixation point of the target calibration object in a world coordinate system obtained through an eye movement information acquisition module to an image plane coordinate system to obtain fourth coordinate information; acquiring fifth coordinate information of a reference fixation point of the target calibration object in the target image in an image plane coordinate system based on an image recognition algorithm; and through the difference between the fifth coordinate information and the fourth coordinate information, calibrating the external parameters to reduce the difference. The fixation point can be mapped to an image plane coordinate system more accurately.

The disclosure relates to a slide-scanner microscopy system (100) comprising a mounting system (102) configured to hold several mounting frames (106) that fix a respective microscope slide (108), and a robotic arrangement (110) configured to pick up one mounting frame (106) at a time from the mounting system (102) and position it such that the microscope slide (108) is arranged in an object plane of a microscope (112) of the slide-scanner microscopy system (100). The microscope (112) is configured to provide a microscopic image of the object plane onto an image plane.The slide scanner microscopy system (100) further comprises a camera (114) configured to capture individual images of the image plane and a controller (116) configured to control the camera (114) in a predefined imaging mode of the slide scanner microscopy system (100) to capture a set of two or more individual images with multiple exposure parameter values ​​for each of multiple positions of a respective holding frame (106) in the beam path and to combine each set of two or more individual images into a high dynamic range microscope image.

A method for generating an image of a three-dimensional object in a virtual three-dimensional space includes using a virtual camera in the three-dimensional space. The method includes updating a position and / or orientation of the virtual camera in response to a change in a position of at least one vanishing point existing on a picture plane and corresponding to infinity of coordinate axes. The method includes generating the image of the three-dimensional object using the updated virtual camera. The updating includes changing the position and / or orientation of the virtual camera in a case where the changed position of the vanishing point is returned to the position of the vanishing point before the change in the position of the vanishing point, the updated position and / or orientation of the virtual camera is returned to the position and / or orientation of the virtual camera before the change in the position of the vanishing point.

A more efficient video data stream extraction technique is presented, e.g., which can more efficiently handle video content of unknown type to the recipient, which has different types of video, e.g., with different aspects such as projection of the view volume to the picture plane, or which reduces the complexity of the extraction process. Furthermore, a technique is described with which collocation of different scene resolution versions of a video scene can be more efficiently provided to the recipient.

Systems and methods for acquiring an ultrasound volume comprising acquiring sequential bi-plane ultrasound images in a first direction using an ultrasound probe of an ultrasound system, the sequential bi-plane ultrasound images comprising first ultrasound image planes or first ultrasound image volumes along a first plane and second ultrasound image planes or second ultrasound image volumes along a second plane, the first plane corresponding to the first direction and the second plane corresponding to a second direction, calculating one or more first displacements in the first direction of the sequential bi-plane ultrasound images during the acquisition, positioning the second ultrasound image planes or the second ultrasound image volumes sequentially, wherein the second ultrasound image planes or the second ultrasound image volumes are positioned according to the one or more first displacements, and generating the ultrasound volume by combining the second ultrasound image planes or the second ultrasound image volumes.

This object recognition method comprises: projecting detected point-cloud objects detected from point cloud data onto an image plane; determining whether the positions of detected image objects and the positions of the detected point-cloud objects are close to each other on the image plane; calculating, for each detected image object and detected point-cloud object positioned close to each other, a shape feature quantity indicating a feature quantity of the shape on the image plane; calculating a degree of similarity on the basis of the shape feature quantities respectively calculated for the detected image object and the detected point-cloud object; and determining that the detected image object and the detected point-cloud object are the same if the degree of similarity is greater than a threshold.

The invention relates to an optical system (28) for providing an image (12) of an object of interest (1, 6), with the image (12) being shiftable (5, 13) in an image plane of the optical system (28) and with the object of interest (1, 6) being located in an object plane of the optical system (28) and with the image plane being conjugate with respect to the object plane. The optical system (28) comprises 1) a first lens module (7, 9, 30) facing the object plane, the first lens module (7, 9, 30) having a first optical axis and a first entrance pupil, which first entrance pupil is located outside the first lens module (7, 9, 30) and is, with respect to the first optical axis, facing the opposite side of the first lens module (7, 9, 30) compared to the side of the first lens module (7, 9, 30) facing the object plane, a second 2) a second optical axis and a second entrance pupil, which second entrance pupil is located outside the second scan lens module (11) and is, with respect to the second optical axis, facing the opposite side of the second scan lens module (11) compared to the side of the second scan lens module facing the image plane, wherein the second scan lens module (11) is arranged such that the first optical axis and the second optical axis are coplanar and orthogonal to one another, and 3) a at least one mirror (10), with each mirror (10) of the at least one mirror (10) being rotatable about a respective axis of rotation and with the at least one mirror (10) being arranged at the first entrance pupil and at the second entrance pupil, and with all axes of rotation of the at least one axis of rotation (i) being parallel to one another, (ii) being coplanar to one another and lying in a rotation plane, and (iii) being orthogonal to the first optical axis and to the second optical axis, wherein the at least one mirror (10) is arranged such that the rotation plane passes through an intersection of (i) the first optical axis and (ii) the second optical axis. The invention also relates to a hyperspectral camera (4) comprising the optical system (28) and an imaging spectrometer (29) and to a method for capturing spectrally resolved data using the hyperspectral camera (4).

The application discloses an image plane region detection method based on edge information. Firstly, a neural network is used to extract basic skeleton network features of each level of an image. Then, each level feature obtained is extracted into multi-level context features through upsampling and interlayer linking. The intermediate level feature obtained is extracted into multi-level edge features of the image through iterative optimization network layers, and different level features are optimized into expected feature dimensions. The multi-level context features and the multi-level edge features are fused in pairs layer by layer. Finally, the fused features are provided to a target model of a downstream image plane detection task to be trained, so as to improve the performance of the target model in the downstream image plane detection task.

The invention discloses an enhanced radar inertial positioning method and system based on a visual descriptor, and the method comprises the steps: carrying out the preprocessing of a collected laser radar point cloud, and aligning each frame of image to a timestamp of a corresponding point cloud frame; carrying out feature extraction on the laser radar point cloud, projecting each feature to a picture plane to complete descriptor construction, carrying out sampling on a matching line and a plane, carrying out feature matching elimination according to a Hamming distance between descriptors of matched features, and completing visual descriptor auxiliary elimination; modeling is carried out on point features according to the descriptor distance, modeling is carried out on a matching line and a matching surface, and finally point-line and point-surface matching adaptive covariance modeling is completed; and finally, executing pre-integration by using the inertial data, performing scanning matching between the point clouds according to the adaptive covariance, and inputting a pre-integration result and a scanning matching result into a pose map to obtain pose estimation and complete positioning. According to the method, mismatching in point cloud features can be accurately eliminated, and the positioning precision is improved.

Systems and methods for acquiring an ultrasound volume include acquiring sequential biplanar ultrasound images in a first direction using an ultrasound probe of an ultrasound system, the sequential biplanar ultrasound image comprises a first ultrasound image plane or a first ultrasound image volume along a first plane and a second ultrasound image plane or a second ultrasound image volume along a second plane, the first plane corresponding to the first direction and the second plane corresponding to the second direction; calculating one or more first displacements of the sequential biplanar ultrasound image in the first direction during the acquisition; positioning the second ultrasound image plane or the second ultrasound image volume in sequence, wherein the second ultrasound image plane or the second ultrasound image volume is positioned according to the one or more first displacements; and generating the ultrasound volume by combining the second ultrasound image plane or the second ultrasound image volume.

The present invention discloses a high-precision geographic information calculation method for adaptive scene marking, comprising the following steps: obtaining a static picture taken by a camera under a scene and high-precision longitude and latitude information corresponding to the scene; drawing single-side contour lines of each parallel lane line in the same direction as the camera optical axis direction and converging them; adjusting according to the convergence result of the single-side contour lines of the parallel lane lines; calibrating road lines that are perpendicular or approximately perpendicular to the camera optical axis direction according to the scene, generating multiple intersection points, i.e., reference points, and forming a grid map; finding the longitude and latitude information corresponding to all reference points in a high-precision map as the geographic information of the reference points; obtaining the corresponding circumscribed regular rectangular frame according to each point on the high-precision map corresponding to each reference point in the image, and constructing a projection transformation matrix from the image plane to the bird's-eye view image; obtaining the longitude and latitude of the image point according to the distance ratio of the projection point in the longitude and latitude directions, and completing the calculation of the geographic information.