Abstract:
It is provided a computer-implemented method for performing body posture tracking, comprising the steps of collecting (S10) depth measurements of a body with at least one depth sensor; collecting (S20) inertial measurements with at least one inertial sensor attached to the body; and determining (S30) at least one posture of the body as a function of the depth measurements and the inertial measurements. Such a method improves the field of body posture tracking.
Abstract:
Described is a computer-implemented method for partitioning a 3D scene into a plurality of zones, each zone representing an area or a volume of the 3D scene and being processed by a computing resource. The method comprises obtaining a 3D scene comprising one or more objects, each object generating a computing resource cost, computing a first map that represents a density of computing costs of the provided 3D scene, defining a second map that represents constraints on the shapes of zones that will be obtained as a result of a partitioning of the 3D scene, discretizing the obtained 3D scene into cells by computing a space quantization of the 3D scene free of dynamic objects, computing, for each cell, a computing cost from the first map of the 3D scene, aggregating the cells into one or more zones in accordance with the second map.
Abstract:
The invention notably relates to a computer-implemented method for compressing data representing values of a physical attribute in a predetermined space. The method comprises providing a signal that includes a mapping from leaf cells of a hierarchical subdivision of the predetermined space each onto a respective coefficient representative of a value of the physical attribute at the respective leaf cell. The method also comprises determining a discrete wavelet transform of the signal and encoding the determined discrete wavelet transform. The method provides an improved way to compress a modeled object that represents a real object.
Abstract:
The invention is directed to a communication middleware for managing multicast channels between a server and a client connected through a communication network, wherein the communication middleware manages at least one compulsory multicast channel for delivering compulsory data to the client and the communication middleware manages at least one optional multicast channel for delivering optional data to the client.
Abstract:
A computer-implemented method of machine-learning is described that includes obtaining a test dataset of scenes. The test dataset belongs to a test domain. The method includes obtaining a domain-adaptive neural network. The domain-adaptive neural network is a machine-learned neural network taught using data obtained from a training domain. The domain-adaptive neural network is configured for inference of spatially reconfigurable objects in a scene of the test domain. The method further includes determining an intermediary domain. The intermediary domain is closer to the training domain than the test domain in terms of data distributions. The method further includes inferring, by applying the domain-adaptive neural network, a spatially reconfigurable object from a scene of the test domain transferred on the intermediary domain. Such a method constitutes an improved method of machine learning with a dataset of scenes comprising spatially reconfigurable objects.
Abstract:
The invention notably relates to a computer-implemented method for designing a 3D assembly of modeled objects. The method comprises rendering on a second computer a 3D assembly of modeled objects by merging a second 3D modeled object with at least one raster image of a first 3D modeled object, the at least one raster image having being streamed from a first computer to the second computer; sending from the second computer to the first computer first data related to the second 3D modeled object for contact computation between the first and second 3D modeled objects; and computing on the first computer a contact between the first and second 3D modeled objects.
Abstract:
A computer implemented method for learning a function configured for captioning a region of an image. The method comprises providing a dataset of triplets each including a respective image, a respective region of the respective image, and a respective caption of the respective region. The method also comprises learning, with the dataset of triplets, a function that is configured to generate an output caption based on an input image and on an input region of the input image. Such a method constitutes an improved solution for captioning a region of an image.
Abstract:
It is provided a computer-implemented method for performing body posture tracking, comprising the steps of collecting (S10) depth measurements of a body with at least one depth sensor; collecting (S20) inertial measurements with at least one inertial sensor attached to the body; and determining (S30) at least one posture of the body as a function of the depth measurements and the inertial measurements. Such a method improves the field of body posture tracking.
Abstract:
It is proposed a computer-implemented method for streaming a simulated three-dimensional modeled object from a server to a remote client, comprising the steps of: a) receiving on a server an interaction performed by a user on a remote client; b) performing on the server the steps of: simulating a three-dimensional modeled object based on the interaction; converting the result of the simulation into at least one two-dimensional image; compressing the said at least one two-dimensional image; and sending to the remote client the compressed at least one two-dimensional image.
Abstract:
The invention is directed to a computer-implemented method for partitioning a three-dimensional scene into a plurality of zones, each zone being processed by a computing resource. The method comprises providing a three-dimensional scene comprising one or more objects, each object generating a computing resource cost; determining a set of locations in the three-dimensional scene; filling each location with its maximum occupancy of objects that reaches the most expensive computing cost; computing, for each location of the three-dimensional scene, the maximum computing cost density; and grouping adjacent locations into one or more zones, each zone having a resulting computing cost density guarantying a real-time performance of the zone.