Abstract: System and methods are provided for detecting occupancy state in a vehicle having an interior passenger compartment the systems and methods include analyzing data of the interior passenger compartment to yield at least one probability of a current occupancy state of said vehicle and further analyzing additional data of the interior passenger compartment to yield predicted probabilities of said occupancy state of said vehicle, wherein each probability of the predicted probabilities relate to the probability of changing said current occupancy state to different occupancy state combining the current at least one probability of the current occupancy state with the predicted probabilities of the occupancy state to yield an updated probability of an updated occupancy state of said vehicle; determining the current occupancy state based on said updated probability of an updated occupancy state of said vehicle and generating an output to control one or more devices or applications based on the determined occupancy sta

Abstract: A method for audio quality improvement related to a participant of a virtual three dimensional (3D) video conference, the method may include: determining participant generated audio, by a machine learning process and based on image analysis of a video of the participant obtained during the virtual 3D video conference; and generating participant related audio information based at least on the participant generated audio; wherein the participant related audio information, once provided to a computerized system of another participant, causes the computerized system of the other participant to generate participant related audio of higher quality than participant audio when the participant audio is included in sensed audio that is sensed by an audio sensor that is associated with the participant.

Abstract: A method for virtual 3D video conference environment generation, the method may include (a) determining a first optical axis of a first virtual camera, the first optical axis represents a line of sight of the participant while a participant of the 3D video conference environment looks at a current displayed version of a virtual 3D video conference environment (V3DVCE); the current displayed version of the V3DVCE is displayed on a display; (b) determining a second optical axis of a second virtual camera that virtually captures the V3DVCE to provide the current displayed version of the V3DVCE; and (c) generating a next displayed version of the V3DVCE based on at least one of the first optical axis and the second optical axis.

Abstract: A method for conducting a three dimensional (3D) video conference between multiple participants, the method may include receiving initial 3D participant representation information for generating the 3D representation of the participant under different circumstances; receiving, by a user device of a first participant and during the 3D video conference call, second participant circumstances metadata indicative of one or more current circumstances regarding a second participant; and updating, by the user device of the first participant, a 3D participant representation of the second participant, within a first representation of virtual 3D video conference environment.

Abstract: A method for sharing content during a virtual 3D video conference, the method may include inviting multiple participants to join a virtual 3D video conference; creating a shared folder dedicated for storing shared content items, wherein the shared content is accessible during at least during the virtual 3D video conference; enabling access, to the multiple participants, to the shared folder; wherein the access is governed by one or more access control rule; and conducting the virtual 3D video conference; wherein the conducting comprises sharing at least one of the content items.

Abstract: A method for foreground and background segmentation related to a virtual three-dimensional (3D) video conference, the method may include segmenting each image of multiple images of a video stream, to segments, each segment has one or more properties that are constant; determining temporal properties of the segments; and classifying each segment as a background segment or a foreground segment, based at least in part, on the temporal properties of the segments.

Abstract: A method for conducting a three dimensional (3D) video conference between multiple participants, the method may include receiving direction of gaze information regarding a direction of gaze of each participant within a representation of a virtual 3D video conference environment that is associated with the participant; determining, for each participant, updated 3D participant representation information within the virtual 3D video conference environment, that reflects the direction of gaze of the participant; and generating, for at least one participant, an updated representation of virtual 3D video conference environment, the updated representation of virtual 3D video conference environment represents the updated 3D participant representation information for at least some of the multiple participants.

Abstract: A method for conducting a three dimensional (3D) video conference between multiple participants, the method may include receiving second participant metadata and first viewpoint metadata by a first unit that is associated with a first participant, wherein the second participant metadata is indicative of a pose of a second participant and an expression of the second participant, wherein the first viewpoint metadata is indicative of a virtual position from which the first participant requests to view an avatar of the second participant; generating, by the first unit, and based on the second participant metadata and the first viewpoint metadata, a second participant representation information; wherein the second participant representation information comprises a compact 3D model of the second participant and a second participant texture map; and determining, for the first participant and during the 3D video conference, a representation of virtual 3D video conference environment, wherein the determining is based

Abstract: A method for generating a texture map used during a video conference, the method may include obtaining multiple texture maps of multiple areas of at least a portion of a three-dimensional (3D) object in which the multiple texture maps comprise a first texture map of a first area and of a first resolution, and a second texture map of a second area and of a second resolution, in which the first area differs from the second area and the first resolution differs from the second resolution; generating a texture map of the at least portion of the 3D object. The generating is based on the multiple texture maps; and utilizing the visual representation of the at least portion of the 3D object based on the texture map of the at least portion of the 3D object during the video conference.

Abstract: A method for generating a three dimensional (3D) visual representation of a sensed object that is three dimensional, the method comprises obtaining at least one 3D visual representation parameter, the visual representation parameters is selected out of a size parameter, a resolution parameter, and a resource consumption parameter; obtaining object information that represents the sensed object; selecting, based on the at least one parameter, a neural network for generating the visual representation of the sensed object; and generating the 3D visual representation of the 3D object by the selected neural network.

Abstract: A method for creating a variable model of a face of a person, the method comprises: obtaining a non-riggable model of the face of the person; performing a first approximation process that comprises generating an intermediate variable model that approximates the non-riggable model, using an interactive variable model infrastructure; wherein the generating comprises iteratively changing shape parameters of the intermediate model until fulfilling a proximity condition; and performing a second approximation process that comprises generating the variable model, by iteratively modifying vertices.

Abstract: A method for generating an avatar having expressions that mimics expressions of a person, the method may include obtaining expression parameters that represent an expression of the person; generating, in real time, a texture map of a face of the person, the texture map of the face of the person represents the expression of the person, wherein the generating is based on the expression parameters, wherein the generating comprises (i) determining, using a neural network and based on the expression parameters, weights, and (ii) calculating a weighted sum of a set of base texture maps, wherein the set of base texture maps belongs to a group of base texture maps that spans different acquired texture maps, the acquired texture maps are calculated based on images of arbitrary expressions made by the person; and rendering the avatar using the texture map.

Abstract: A method for creating a non-riggable model of a face of a person, the method includes obtaining video and depth information regarding the face of the person, wherein different images of the video are acquired by a camera at different camera locations; and for each image of the different images repeating the steps of: separating face information from background information; determining translation and rotation parameters that represent the different camera locations; and generating the non-riggable model of the face of the person based on the face information and the translation and rotation parameters.

Abstract: A method for conducting a three dimensional (3D) video conference between multiple participants, the method may include determining, for each participant, updated 3D participant representation information within the virtual 3D video conference environment, that represents participants; wherein the determining comprises estimating 3D participant representation information of one or more hidden areas of a face of a participant that are hidden from the camera that captures at least one visible area of the face of the participant; and generating, for at least one participant, an updated representation of virtual 3D video conference environment, the updated representation of virtual 3D video conference environment represents the updated 3D participant representation information for at least some of the multiple participants.

Abstract: A method for conducting a three dimensional (3D) video conference between multiple participants, the method may include determining, for each participant, updated 3D participant representation information within the virtual 3D video conference environment, that represents participant; wherein the determining comprises compensating for difference between an actual optical axis of a camera that acquires images of the participant and a desired optical axis of a virtual camera; and generating, for at least one participant, an updated representation of virtual 3D video conference environment, the updated representation of virtual 3D video conference environment represents the updated 3D participant representation information for at least some of the multiple participants.

Abstract: A method for conducting a three dimensional (3D) video conference between multiple participants, the method may include determining, for each participant and multiple times during the 3D video conference, updated 3D participant representation information within the virtual 3D video conference environment; and generating, for at least one participant and multiple times during the 3D video conference, an updated representation of a virtual 3D video conference environment, the updated representation of virtual 3D video conference environment represents the updated 3D participant representation information for at least some of the multiple participants; and wherein the 3D participant representation information comprises a 3D model and one or more texture maps.

Abstract: A method for predicting behavior changes of a participant of a virtual three dimensional (3D) video conference, the method may include determining, for each part of multiple parts of the virtual 3D video conference, and by a first computerized unit, (a) a participant behavioral predictor to be applied by a second computerized unit during the part of the virtual 3D video conference, (b) one or more prediction inaccuracies related to the applying of the participant behavioral predictor during the part of the virtual 3D video conference, and (c) whether to generate and transmit to the second computerized unit prediction inaccuracy metadata that is indicative of at least one prediction inaccuracy that affects a representation of the participant within a virtual 3D video conference environment presented to another participant of the virtual 3D video conference during the part of the virtual 3D video conference; and generating and transmitting to the second computerized unit the prediction inaccuracy metadata, when

Abstract: A method for conducting a virtual three dimensional (3D) video conference between multiple participants, the method may include receiving by a user device of a first participant of the virtual 3D video conference, reference second participant 3D representation information for generating a second participant 3D representation under different constraints. The different constraints include at least one out of (a) a touch up constraint, (b) a makeup constraint, and (c) one or more circumstances constraint.

Abstract: A method for virtual 3D video conference environment generation, the method may include (a) determining a first optical axis of a first virtual camera, the first optical axis represents a line of sight of the participant while a participant of the 3D video conference environment looks at a current displayed version of a virtual 3D video conference environment (V3DVCE); the current displayed version of the V3DVCE is displayed on a display; (b) determining a second optical axis of a second virtual camera that virtually captures the V3DVCE to provide the current displayed version of the V3DVCE; and (c) generating a next displayed version of the V3DVCE based on at least one of the first optical axis and the second optical axis.

Abstract: A method for conducting a three dimensional (3D) video conference between multiple participants, the method may include receiving second participant metadata and first viewpoint metadata by a first unit that is associated with a first participant, wherein the second participant metadata is indicative of a pose of a second participant and an expression of the second participant, wherein the first viewpoint metadata is indicative of a virtual position from which the first participant requests to view an avatar of the second participant; generating, by the first unit, and based on the second participant metadata and the first viewpoint metadata, a second participant representation information; wherein the second participant representation information comprises a compact 3D model of the second participant and a second participant texture map; and determining, for the first participant and during the 3D video conference, a representation of virtual 3D video conference environment, wherein the determining is based