Rendering three-dimensional objects utilizing sharp tessellation

    公开(公告)号:US11842443B2

    公开(公告)日:2023-12-12

    申请号:US18172847

    申请日:2023-02-22

    CPC classification number: G06T17/20 G06T15/04

    Abstract: The disclosure describes one or more embodiments of systems, methods, and non-transitory computer-readable media that modify vertex positions of a 3D-object mesh to align the vertices with discontinuities indicated by a sharpness map for a displacement map. For example, the disclosed systems access a sharpness map that encodes discontinuities of a displacement map to preserve sharp features. During sharp tessellation, for a given vertex of the 3D-object mesh, the disclosed systems iterate over neighboring vertices to search for a nearest intersection between one of the incident edges of the vertex and neighboring vertices and a discontinuity line from the sharpness map. Then, the vertex is moved within a threshold distance of the nearest discontinuity line intersection along the incident edge. The disclosed systems similarly reposition other vertices of the 3D-object mesh to generate a modified 3D-object mesh that includes vertices that align with discontinuities present in a displacement map.

    Method and apparatus for user distribution to sub-bands in multiple access communications systems

    公开(公告)号:US11515986B2

    公开(公告)日:2022-11-29

    申请号:US17042453

    申请日:2019-03-20

    Abstract: A mechanism is presented for attributing users to one or more of a plurality of sub-bands in a multiple access communications system, wherein in an initial assignment phase, a first user is selected for a sub band, for example on the basis of a user priority. Users having complementary channel gains to that of the first user are identified, and then a second sub-band user maximizing a performance metric reflecting the achieved throughput, and/or fairness across users, is selected to accompany the first user on that sub-band. The initial assignment phase may terminate once all users have been assigned to a sub-band once. After the first phase is complete, the first user for each sub-band may be the user whose achieved total throughput is furthest from a target throughput defined for that user, wherein each user is assigned to the remaining sub-band to which no first user is currently attributed offering the highest channel gain for that user. Mechanisms for determining user priority, making provisional and definitive power allocations, and performance metrics are proposed.

    Descriptor learning method for the detection and location of objects in a video

    公开(公告)号:US11501110B2

    公开(公告)日:2022-11-15

    申请号:US16621643

    申请日:2018-06-08

    Abstract: The present invention relates to a method for learning class descriptors for the detection and the automatic location of objects in a video, each object belonging to a class of objects from among a set of classes, the method using: a learning base, composed from reference videos and containing annotated frames each comprising one or more labels identifying each object detected in the frames, descriptors associated with these labels and learned previously by a preprocessing neural network from the annotated frames of the learning base, an architecture of neural networks defined by parameters centralized on a plurality of parameter servers, and a plurality of computation entities working in parallel, a method in which, for each class of objects, one of the neural networks of the architecture is trained by using as input data the descriptors and the labels to define class descriptors, each computation entity using, for the computation of the class descriptors, a version of the parameters of the parameter server on which the entity depends, and returning to this parameter server the parameters updated at the end of its computation, and the parameter servers exchanging with one another the parameters of each computation entity for the training of the neural networks for each class descriptor.

    DEVICES AND METHODS FOR LATTICE POINTS ENUMERATION

    公开(公告)号:US20220253670A1

    公开(公告)日:2022-08-11

    申请号:US17620717

    申请日:2020-06-24

    Abstract: A lattice prediction device for predicting a number of lattice points falling inside a bounded region in a given vector space is provided. The bounded region is defined by a radius value, a lattice point representing a digital signal in a lattice constructed over the vector space. The lattice is defined by a lattice generator matrix comprising components. The lattice prediction device comprises a computation unit configured to determine a predicted number of lattice points by applying a machine learning algorithm to input data derived from the radius value and the components of lattice generator matrix.

    DEVICES AND METHODS FOR MACHINE LEARNING ASSISTED SPHERE DECODING

    公开(公告)号:US20220247605A1

    公开(公告)日:2022-08-04

    申请号:US17620715

    申请日:2020-06-23

    Abstract: A decoder for decoding a signal received through a transmission channel represented by a channel matrix using a search sphere radius. The decoder comprises a radius determination device for determining a search sphere radius from a preliminary radius. The radius determination device is configured to: i. apply a machine learning algorithm to input data derived from the received signal, the channel matrix and a current radius, the current radius being initially set to the preliminary radius, which provides a current predicted number of lattice points associated with the current radius; ii. compare the current predicted number of lattice points to a given threshold; iii. update the current radius if the current predicted number of lattice points is strictly higher than the given threshold, the current radius being updated by applying a linear function to the current radius; Steps i to iii are iterated until a termination condition is satisfied, the termination condition being related to the current predicted number, the radius determination device being configured to set the search sphere radius to the current radius in response to the termination condition being satisfied.

    DEVICES AND METHODS FOR MACHINE LEARNING ASSISTED PRECODING

    公开(公告)号:US20220247460A1

    公开(公告)日:2022-08-04

    申请号:US17620716

    申请日:2020-06-23

    Abstract: A precoder for precoding a vector of information symbols is provided. The precoder includes a radius determination unit configured to determine a search sphere radius, the determination of the search sphere radius comprising applying a machine learning algorithm to input data dependent on the vector of information symbols and on a predefined precoding matrix; a sphere encoding unit configured to determine a perturbation vector from lattice points found inside a spherical region by applying a sphere search-based sequential algorithm, the spherical region having as a radius the search sphere radius, and a precoding unit configured to precode the vector of information symbols using the perturbation vector and a precoding matrix.

    Optical transmission system and method for core selection in multi-core fibers

    公开(公告)号:US11218218B2

    公开(公告)日:2022-01-04

    申请号:US17050358

    申请日:2019-04-10

    Abstract: Embodiments provide an optical transmission system comprising an optical transmitter configured to transmit data over an optical fiber transmission channel comprising a multi-core fiber, the data being carried by one or more optical signals propagating along the multi-core fiber according to a plurality of cores, each core among the plurality of cores being associated with one or more core parameters, wherein the optical transmission system comprises a core selection device configured to select a set of transmit cores among the plurality of cores according to a transmit core selection criterion, the transmit core selection criterion being related to the one or more core parameters, the optical transmitter being configured to transmit the data over the set of transmit cores.

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