Method and system for three-dimensional model reconstruction

    公开(公告)号:US10762654B2

    公开(公告)日:2020-09-01

    申请号:US16675617

    申请日:2019-11-06

    Inventor: Jingyi Yu

    Abstract: A method of generating a three-dimensional model of an object is disclosed. The method may use a light field camera to capture a plurality of light field images at a plurality of viewpoints. The method may include capturing a first light field image at a first viewpoint; capturing a second light field image at the second viewpoint; estimating a rotation and a translation of a light field from the first viewpoint to the second viewpoint; obtaining a disparity map from each of the plurality of light field image; and computing a three-dimensional point cloud by optimizing the rotation and translation of the light field and the disparity map. The first light field image may include a first plurality of subaperture images and the second light field image may include a second plurality of subaperture images.

    TOPICAL COMPOSITIONS AND USES
    92.
    发明申请

    公开(公告)号:US20200231634A1

    公开(公告)日:2020-07-23

    申请号:US16632299

    申请日:2018-07-20

    Inventor: Jia Liu Biao Jiang

    Abstract: Provided are chimeric polypeptides that include one or more zinc finger motifs fused to a therapeutic peptide such as botulinum neurotoxins (BoNTs). The zinc finger motif may be located at the C-terminal side of the BoNT and the chimeric polypeptide can optionally include two or more such zinc finger motifs. It said the disclosed chimeric polypeptides can be efficiently delivered to a subject transdermally.

    EDITABLE FREE-VIEWPOINT VIDEO USING A LAYERED NEURAL REPRESENTATION

    公开(公告)号:US20240290059A1

    公开(公告)日:2024-08-29

    申请号:US18571748

    申请日:2021-07-26

    CPC classification number: G06V10/25 G06T3/02 G06T7/50

    Abstract: A computer-implemented method of generating editable free-viewport videos is provided. A plurality of video of a scene from a plurality of views is obtained. The scene comprises includes an environment and one or more dynamic entities. A 3D bounding-box is generated for each dynamic entity in the scene. A computer device encodes a machine learning model including an environment layer and a dynamic entity layer for each dynamic entity in the scene. The environment layer represents a continuous function of space and time of the environment. The dynamic entity layer represents a continuous function of space and time of the dynamic entity. The dynamic entity layer includes a deformation module and a neural radiance module. The deformation module is configured to deform a spatial coordinate in accordance with a timestamp and a trained deformation weight. The neural radiance module is configured to derive a density value and a color.

    GRAPHICS PROCESSING UNIT (GPU)-BASED LOGIC REWRITING ACCELERATION METHOD

    公开(公告)号:US20240289914A1

    公开(公告)日:2024-08-29

    申请号:US18537836

    申请日:2023-12-13

    Inventor: Lin LI Yajun HA

    CPC classification number: G06T1/20 G06F9/3851

    Abstract: A graphics processing unit (GPU)-based logic rewriting acceleration method comprising parallelizing sub-procedures of And-Inverter Graph (AIG)-based logic rewriting. A recursive sub-procedure of the AIG-based logic rewriting is redesigned to be non-recursive, to provide sufficient parallelism for a GPU. In order to parallelize a replacement step on the GPU, the present disclosure uses a lock to ensure mutually exclusive access, which inevitably damages scalability of inter-node parallelism. In order to fully utilize the inter-node parallelism on a large scale, the present disclosure proposes a work scheduler that adds nodes with non-overlapping maximum fan-out-free cones (MFFCs) to a group, such that nodes in an MFFC can be deleted simultaneously without a conflict. In order to simultaneously create and delete a same node, the present disclosure also proposes a GPU-friendly graphical data structure to support these concurrent operations.

    ENERGY-EFFICIENT MEMORY FOR CRYOGENIC COMPUTING

    公开(公告)号:US20240233796A1

    公开(公告)日:2024-07-11

    申请号:US18505128

    申请日:2023-11-09

    CPC classification number: G11C11/4023 G11C11/4087 G11C11/4091 G11C11/4096

    Abstract: An energy-efficient memory for cryogenic computing is provided. The energy-efficient memory includes a plurality of memory banks, where each of the memory banks includes a cryogenic semi-static, dual-port, boost-free gain cell (CSDB-GC) macro module, a universal address decoder, and a different address decoder. The CSDB-GC macro module includes a plurality of columns of local blocks, and each of the local blocks includes a plurality of CSDB-GC memory cells. A final measurement result of a 16 Kb CSDB-eDRAM shows that the 16 Kb CSDB-eDRAM achieves data retention time (DRT) of 16.67 seconds, which is 2.6 times longer than DRT of a state-of-the-art cryogenic eDRAM at a temperature of 4.2 K, and achieves lower refresh power (0.11 pW/Kb). In addition, the 16 Kb CSDB-eDRAM also achieves shorter access time, namely, 710 ps (1.41 GHz). Compared with the state-of-the-art work, the 16 Kb CSDB-eDRAM has a lowest dynamic power consumption overhead, namely, 49.23 uW/Kb.

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