Environment Model With Surfaces And Per-Surface Volumes

    公开(公告)号:US20240331320A1

    公开(公告)日:2024-10-03

    申请号:US18738681

    申请日:2024-06-10

    Abstract: In one embodiment, a method includes receiving sensor data of a scene captured using one or more sensors, generating (1) a number of virtual surfaces representing a number of detected planar surfaces in the scene and (2) a point cloud representing detected features of objects in the scene based on the sensor data, assigning each point in the point cloud to one or more of the number of virtual surfaces, generating occupancy volumes for each of the number of virtual surfaces based on the points assigned to the virtual surface, generating a datastore including the number of virtual surfaces, the occupancy volumes of each of the number of virtual surfaces, and a spatial relationship between the number of virtual surfaces, receiving a query, and sending a response to the query, the response including an identified subset of the plurality of virtual surfaces in the datastore that satisfy the query.

    Organ model production system
    25.
    发明授权

    公开(公告)号:US12105501B1

    公开(公告)日:2024-10-01

    申请号:US18471285

    申请日:2023-09-20

    Abstract: The methods, process, and apparatus of the present invention produces a structurally representative organ model using magnetic resonance imaging scan information of a organ and a patient's medical history and physiology. This is accomplished by mathematically convolving the scan information with a second order ranked tensor matrix encoded with the patient's physiological information as it relates to the scanned organ and their medical profile. The convolved scan information and encoded matrix are computer processed to produce a 3D printer driver file which is used to print a structurally representative organ model conforming to the patient's physiology.

    Systems and methods for end to end scene reconstruction from multiview images

    公开(公告)号:US12100093B2

    公开(公告)日:2024-09-24

    申请号:US18320369

    申请日:2023-05-19

    CPC classification number: G06T15/08 G06N3/02 G06T2200/08

    Abstract: Systems and methods of generating a three-dimensional (3D) reconstruction of a scene or environment surrounding a user of a spatial computing system, such as a virtual reality, augmented reality or mixed reality system, using only multiview images comprising, and without the need for depth sensors or depth data from sensors. Features are extracted from a sequence of frames of RGB images and back-projected using known camera intrinsics and extrinsics into a 3D voxel volume wherein each pixel of the voxel volume is mapped to a ray in the voxel volume. The back-projected features are fused into the 3D voxel volume. The 3D voxel volume is passed through a 3D convolutional neural network to refine the and regress truncated signed distance function values at each voxel of the 3D voxel volume.

    SYSTEMS AND METHODS FOR IMAGE RECONSTRUCTION
    28.
    发明公开

    公开(公告)号:US20240312119A1

    公开(公告)日:2024-09-19

    申请号:US18675181

    申请日:2024-05-28

    CPC classification number: G06T15/08 G06T19/00 G06T2210/41 G06T2219/004

    Abstract: The present disclosure relates to systems and methods for image reconstruction. The systems may obtain one or more projection images of an object and a first reconstruction image corresponding to the one or more projection images. The systems may determine, for each of the one or more projection images, an initial range of a target region on the projection image based on the first reconstruction image. The target region may be a low-gray region generated on the projection image by a substance with an X-ray attenuation coefficient greater than a predetermined threshold. The systems may determine, within the initial range, the target region on the projection image. The systems may generate a three-dimensional (3D) image of the object based at least on target regions corresponding to the one or more projection images.

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